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Monday's Musings: In An Age of AI, Death To The Pyramid Model, Long Live The Diamond
https://www.raywang.org/blog/2024-03/mondays-musings-age-ai-death-pyramid-model-long-live-diamond
Monday's Musings: In An Age of AI, Death To The Pyramid Model, Long Live The Diamond <picture>
<source srcset="/sites/default/files/styles/wide/public/2024-03/%40rwang0%20From%20Pyramid%20to%20Diamond%20Bots%20Not%20FTES.webp?itok=qEs2grLh 1x" media="(min-width: 0px)" type="image/webp"/>
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<img src="/sites/default/files/styles/wide/public/2024-03/%40rwang0%20From%20Pyramid%20to%20Diamond%20Bots%20Not%20FTES.png?itok=qEs2grLh" alt="From Pyramid to Diamond With AI Bots Not FTEs" typeof="foaf:Image" class="w-100 h-auto" />
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<span class="field field--name-uid field--type-entity-reference field--label-hidden"><span lang="" about="/user/8" typeof="schema:Person" property="schema:name" datatype="">rwang0</span></span>
<span class="field field--name-created field--type-created field--label-hidden">Fri, 03/01/2024 - 22:39</span>
<div property="schema:articleBody" class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><h1>The Traditional Pyramid Is Under Attack</h1>
<p>Most professional services firms have operated in a pyramid model where the most senior owner of a P&L would have a staffing ratio of 1:3 to 1:5 and their next reports would have a staffing ratio of 1:5 to 1:10. This pyramid structure would continue until the last level. There could be as many as 8 to 10 levels in a structure that looks like this with billable rates per hour that would correspond to seniority and level of expertise.</p>
<article class="media media--type-image media--view-mode-default" data-align="center"><picture><source srcset="/sites/default/files/styles/wide/public/2024-03/%40rwang0%20From%20Pyramid%20to%20Diamond%20pyramid.webp?itok=o8gn6idU 1x" media="(min-width: 0px)" type="image/webp"></source><source srcset="/sites/default/files/styles/wide/public/2024-03/%40rwang0%20From%20Pyramid%20to%20Diamond%20pyramid.png?itok=o8gn6idU 1x" media="(min-width: 0px)" type="image/png"></source><img src="/sites/default/files/styles/wide/public/2024-03/%40rwang0%20From%20Pyramid%20to%20Diamond%20pyramid.png?itok=o8gn6idU" alt="The Traditional Pyramid" typeof="foaf:Image" class="w-100 h-auto" /></picture></article><ol><li>Managing Partner/ Senior Vice-President ($1500/hr)</li>
<li>Partner ($1200/hr)</li>
<li>Senior Director ($750/hr)</li>
<li>Director ($600/hr)</li>
<li>Senior Manager ($400/hr)</li>
<li>Manager($300/hr)</li>
<li>Senior Consultant ($200/hr)</li>
<li>Consultant ($150/hr)</li>
</ol><h1>The Diamond Is The New Staffing Model</h1>
<p>As more and more work becomes automated and a range of lower-level and higher-level tasks are replaced by AI, the need for a classic command and control pyramid structure goes away. In fact, automation and AI break off chunks of the pyramid. As more humans manage more bots, the pyramid look more like a diamond. Workers on the bottom levels of the pyramid are replaced or even age out. And in many cases, new product or service offerings hasten the reduction of humans as the level of automation increases.</p>
<article class="media media--type-image media--view-mode-default" data-align="center"><picture><source srcset="/sites/default/files/styles/wide/public/2024-03/%40rwang0%20From%20Pyramid%20to%20Diamond%20Bots%20Not%20FTES.webp?itok=qEs2grLh 1x" media="(min-width: 0px)" type="image/webp"></source><source srcset="/sites/default/files/styles/wide/public/2024-03/%40rwang0%20From%20Pyramid%20to%20Diamond%20Bots%20Not%20FTES.png?itok=qEs2grLh 1x" media="(min-width: 0px)" type="image/png"></source><img src="/sites/default/files/styles/wide/public/2024-03/%40rwang0%20From%20Pyramid%20to%20Diamond%20Bots%20Not%20FTES.png?itok=qEs2grLh" alt="From Pyramid to Diamond With AI Bots Not FTEs" typeof="foaf:Image" class="w-100 h-auto" /></picture></article><h1>The Bottom Line: Services Firms Look More Like Software Firms In An Age Of AI</h1>
<p>If one was to create a new services firm startup, the biggest target market would be the BPO business of legacy services firms. Why? Well defined processes, established exception handling, and large contracts could all be turned into AI-driven smart services and software. The future services firm must compete on bot efficiency and human ingenuity. Software driven approaches will trump traditional labor intensive services. Expect AI to augment work while automation software will play a big role in operations Services firms that fail to make this transition will cease to exist.</p>
<p> </p>
<div class="shrink-0 aspect-ratio">
<h1>Your POV</h1>
<p>Do you expect your services firms to deploy more bots or more humans? What's your expectation on contracts in 2024?</p>
<p>Add your comments to the blog or reach me via email: <a href="mailto:[email protected]">R (at) ConstellationR (dot) com</a> or<a href="mailto:[email protected]"> R (at) SoftwareInsider (dot) org.</a> Please let us know if you need help with your strategy efforts. Here’s how we can assist:</p>
<ul><li>Developing your metaverse and digital business strategy</li>
<li>Connecting with other pioneers</li>
<li>Sharing best practices</li>
<li>Vendor selection</li>
<li>Implementation partner selection</li>
<li>Providing contract negotiations and software licensing support</li>
<li>Demystifying software licensing</li>
</ul><p>Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact <strong><a href="mailto:[email protected]">Sales</a></strong>.</p>
<h1><strong>Disclosures</strong></h1>
<p>Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy,stay tuned for the full client list on the <a href="http://www.constellationrg.com/clients">Constellation Research website</a>. * Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.</p>
<p>Constellation Research recommends that readers consult a stock professional for their investment guidance. Investors should understand the potential conflicts of interest analysts might face. Constellation does not underwrite or own the securities of the companies the analysts cover. Analysts themselves sometimes own stocks in the companies they cover—either directly or indirectly, such as through employee stock-purchase pools in which they and their colleagues participate. As a general matter, investors should not rely solely on an analyst’s recommendation when deciding whether to buy, hold, or sell a stock. Instead, they should also do their own research—such as reading the prospectus for new companies or for public companies, the quarterly and annual reports filed with the SEC—to confirm whether a particular investment is appropriate for them in light of their individual financial circumstances.</p>
<p>Copyright © 2001 – 2024 R Wang and Insider Associates, LLC All rights reserved.</p>
<p>Contact the <strong><a href="mailto:[email protected]">Sales</a> </strong>team to purchase this report on a a la carte basis or join the Constellation Executive Network</p>
</div>
</div>
Sat, 02 Mar 2024 06:39:26 +0000
rwang0
22990 at https://www.raywang.org
@rwang0
R 'Ray' Wang
Constellation Research
Insider Associates
Software Insider
AI
Age of AI
pyramid
diamond
Staffing
services
future of work
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News Analysis: Finance In The Age Of AI - Microsoft Copilot for Finance
https://www.raywang.org/blog/2024-02/news-analysis-finance-age-ai-microsoft-copilot-finance
News Analysis: Finance In The Age Of AI - Microsoft Copilot for Finance <picture>
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<img src="/sites/default/files/styles/wide/public/2024-02/%40rwang0%20%40microsoft%20%23Copilot%20Finance.png?itok=A1y2qy7J" alt="Microsoft Copilot Finance" typeof="foaf:Image" class="w-100 h-auto" />
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<span class="field field--name-uid field--type-entity-reference field--label-hidden"><span lang="" about="/user/8" typeof="schema:Person" property="schema:name" datatype="">rwang0</span></span>
<span class="field field--name-created field--type-created field--label-hidden">Thu, 02/29/2024 - 05:34</span>
<div property="schema:articleBody" class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><h1>The Leap Year Brings Announcement Of A New Copilot - Finance</h1>
<p>Microsoft announced the public preview of Copilot for Finance. With tools such as Copilot, the user experience begins and ends with generative AI. In conversations with Corporate Vice President of Business Applications Engineering - Charles Lamanna, Corporate Vice President of Business Applications Marketing - Emily He, Vice President of AI-led ERP Engineering - Georg Glantshnig, users can now apply generative AI across departments such as sales, service, finance, and IT with Copilot for M365, Copilot for Sales, Copilot for Service, Copilot for Finance, and Copilot Studio.</p>
<article class="media media--type-image media--view-mode-default" data-align="center"><picture><source srcset="/sites/default/files/styles/wide/public/2024-02/%40rwang0%20%40glantschnig%20%23copilot%20Finance_0.webp?itok=YEjcfKJV 1x" media="(min-width: 0px)" type="image/webp"></source><source srcset="/sites/default/files/styles/wide/public/2024-02/%40rwang0%20%40glantschnig%20%23copilot%20Finance_0.png?itok=YEjcfKJV 1x" media="(min-width: 0px)" type="image/png"></source><img src="/sites/default/files/styles/wide/public/2024-02/%40rwang0%20%40glantschnig%20%23copilot%20Finance_0.png?itok=YEjcfKJV" alt="Microsoft Georg Glantschnig Copilot Finance Launch" typeof="foaf:Image" class="w-100 h-auto" /></picture></article><p>As with all Microsoft Copilot experiences, Copilot for Finance changes where and how users interface with transactional applications which changes the user dynamics of how roles, workflows, and insight transform work. For example Copilot for Finance:</p>
<ul><li>Allows users to engage in their preferred environments such as Excel or in email, instead of in a traditional finance application. </li>
<li>Guides users to the next best action</li>
<li>Accelerates automation efforts</li>
<li>Orchestrates information across internal and external financial systems</li>
<li>Uses pre-built business logic to surface the right insight at the right time</li>
<li>Supports human in the loop</li>
<li>Provides transparency that allows users to understand the data analysis process, veracity of data, lineage of decisions, and sourcing of where data is used to provide assumptions.</li>
</ul><h1>Public Preview Supports Three Scenarios</h1>
<p>Copilot for Finance focuses on Collections, Variance Analysis, and Reconciliation. These three scenarios represent some of the most labor intensive and and costly operational tasks finance teams face on a daily basis. The goal - shift tedium away so that finance professionals can focus on more strategic tasks. Copilot for Finance will also expedite and simplify the connection to existing financial systems, data sources, planning tools, and others via pre-built connectors. </p>
<p>Finance professionals will be able to:</p>
<ul><li>Conduct a variance analysis in Excel. By using natural language prompts, financial analysts can identify risks, anomalies, unmatched values, and other irregularities.</li>
<li>Simplify reconciliation using Excel and automated nudges, suggestions, and guided troubleshooting.</li>
<li>View rich customer account details in Outlook</li>
<li>Turn raw data in Excel into visuals and reports for sharing.</li>
</ul><h1>The Bottom Line: Finance Professionals Can Now Augment With Generative AI</h1>
<p>Automating high volume, highly repetitive, and highly regulated tasks show where the power of generative AI and AI can augment human work. Copilot for Finance enables the shift from tasks to workflows when using AI. Microsoft's latest offering may be what CFO's have been looking for. faster, better, and even cheaper innovations.</p>
<div class="shrink-0 aspect-ratio">
<h1>Your POV</h1>
<p><span style="font-size:14pt"><span style="font-family:"Times New Roman",serif"><span style="font-family:"Calibri",sans-serif">Ready to start with Finance? What Copilots do you plan to start with? Will your office of the CFO start with Gen AI?</span></span></span></p>
<p>Add your comments to the blog or reach me via email: <a href="mailto:[email protected]">R (at) ConstellationR (dot) com</a> or<a href="mailto:[email protected]"> R (at) SoftwareInsider (dot) org.</a> Please let us know if you need help with your strategy efforts. Here’s how we can assist:</p>
<ul><li>Developing your metaverse and digital business strategy</li>
<li>Connecting with other pioneers</li>
<li>Sharing best practices</li>
<li>Vendor selection</li>
<li>Implementation partner selection</li>
<li>Providing contract negotiations and software licensing support</li>
<li>Demystifying software licensing</li>
</ul><p>Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact <strong><a href="mailto:[email protected]">Sales</a></strong>.</p>
<h1><strong>Disclosures</strong></h1>
<p>Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy,stay tuned for the full client list on the <a href="http://www.constellationrg.com/clients">Constellation Research website</a>. * Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.</p>
<p>Constellation Research recommends that readers consult a stock professional for their investment guidance. Investors should understand the potential conflicts of interest analysts might face. Constellation does not underwrite or own the securities of the companies the analysts cover. Analysts themselves sometimes own stocks in the companies they cover—either directly or indirectly, such as through employee stock-purchase pools in which they and their colleagues participate. As a general matter, investors should not rely solely on an analyst’s recommendation when deciding whether to buy, hold, or sell a stock. Instead, they should also do their own research—such as reading the prospectus for new companies or for public companies, the quarterly and annual reports filed with the SEC—to confirm whether a particular investment is appropriate for them in light of their individual financial circumstances.</p>
<p>Copyright © 2001 – 2024 R Wang and Insider Associates, LLC All rights reserved.</p>
<p>Contact the <strong><a href="mailto:[email protected]">Sales</a> </strong>team to purchase this report on a a la carte basis or join the Constellation Executive Network</p>
</div>
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Thu, 29 Feb 2024 13:34:05 +0000
rwang0
22988 at https://www.raywang.org
@rwang0
R 'Ray' Wang
Ray Wang
Constellation Research
Software Insider
Generative AI
Copilot
Microsoft
finance
ERP
Launch
Public Preview
Charles Lamanna
Emily He
Georg Glantschnig
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Monday's Musings: Trust In The Age of AI
https://www.raywang.org/blog/2024-01/mondays-musings-trust-age-ai
Monday's Musings: Trust In The Age of AI <picture>
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<img src="/sites/default/files/styles/wide/public/2024-01/%40rwang0%20Trusted%20AI.png?itok=RKBngU6m" alt="Trusted AI " typeof="foaf:Image" class="w-100 h-auto" />
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<span class="field field--name-uid field--type-entity-reference field--label-hidden"><span lang="" about="/user/8" typeof="schema:Person" property="schema:name" datatype="">rwang0</span></span>
<span class="field field--name-created field--type-created field--label-hidden">Sun, 01/14/2024 - 18:59</span>
<div property="schema:articleBody" class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><h1 style="margin-top:16px">Enter AI And The Real Fourth Industrial Revolution</h1>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Running out of ideas to inspire, a false fourth industrial revolution was coined by the World Economic Forum. The move to digitization and digital transformation was a necessary half-step to the move towards AI. While some will now profess that the Fifth Industrial revolution is AI, AI is more exponential than the internet or the fake fourth industrial revolution. The dawn of the fourth industrial revolution begins with AI. This Cognitive Era will be with us for decades to come.</span></span></p>
<h1 style="margin-top:16px">Post AI World Requires Lots Of Precision Data</h1>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Digital transformation has made more data available by digitizing the physical world. Enterprises who led the way in digital transformation built a foundation to take advantage of AI. In 2023, enterprises rushed to AI for an exponential advantage. Unfortunately, many organizations realized they did not have enough data to achieve precision decisions. Even more concerning, most enterprises do not have enough data, compute power, or energy to solve their problems. In fact, 91% of companies will determine they do not have enough data to achieve a level of precision their stakeholders will trust. Some will find internal data good enough but not good enough for many use cases.</span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">For example, would 91% accuracy be good for customer service and support? Probably yes. Would 91% accuracy cut it for procurement? No. Would 91% accuracy make a CFO feel confident In finance? Definitely no. Would 91% accuracy be okay for patient visits in healthcare? Absolutely not!</span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Sadly, hundreds of millions, even billions will be wasted because organizations did not develop a data strategy. Without enough precision data, AI cannot be trusted. Hallucinations in generative AI lend well for creativity but become dangerous when users expect precision and trust. As skepticism grows of AI, mistrust will increase. The timeline over the next five years will look like this (see Figure 1).</span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Figure 1. Business Expectations For AI</span></span></p>
<p> </p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><img alt="" id="Picture_x0020_4" 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" style="width:468pt; height:171pt" /></span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><b>Source</b>: Constellation Research, Inc.</span></span></p>
<p> </p>
<h1>Data Collectives Emerge To Fuel Data Inc. Companies</h1>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Trust and transparency requires constant training and a voracious appetite for increasing amounts of data. Yet, data half-life makes much of your data worthless in seconds. The battle for more data and increasing number of signals requires data mastery. Data mastery results in not only better AI use cases, but also a new class of organizations known as Data, Inc. companies. </span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Deep data resident knowledge of the flat sides of data provides rich understanding. Unique data sets and partner models will augment synthetic data approaches to feed the beast. Despite best efforts, no organization will have enough data. </span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">For this reason, hybrid models for data persist as a shift back to on-premises will accelerate because of security concerns and efficiency reasons for mission critical data sets. Data collectives will bring richer and higher precisions inputs. Small language models become as valuable as large language models as data collective orchestrate market places of insight. Data collectives will provide insight in the “dark ages” of post AI where publicly available information is rare and useless. Winners will emerge to reap exponential advantages.</span></span></p>
<h1>Data Inc. Companies Will Deliver Trusted AI</h1>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">A new class of company known as Data Inc. will emerge. These organizations will be valued by their data in addition to their revenues. Moreover, these companies will emerge as their own asset class valued by the market for their ability to create flywheels of monetization. Five types of Data Inc companies will emerge: (see Figure 2)</span></span></p>
<ol><li style="margin-left:8px"><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Unique data sets</span></span></li>
<li style="margin-left:8px"><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Data driven digital networks - network + data</span></span></li>
<li style="margin-left:8px"><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Longitudinal data sets</span></span></li>
<li style="margin-left:8px"><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Derived data advantage</span></span></li>
<li style="margin-left:8px"><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">New classes of data</span></span></li>
</ol><p> </p>
<p><strong><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Figure 2. Five Types Of Data Inc. Companies Emerge</span></span></strong></p>
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" style="width:469pt; height:214pt" /></span></span></p>
<p> </p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><b>Source: </b> Constellation Research, Inc.</span></span></p>
<h1>Recommendations: Seven Rules To Create Trusted AI</h1>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">In discussions and workshops with over 50 leading enterprises, seven rules have emerged to crate trusted AI entities and Data Inc companies:</span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Rule 1: Achieve data mastery</span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Rule 2: Understand how to partner for data sources and signals</span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Rule 3: Generate new derivatives</span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Rule 4: Monetize outcomes</span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Rule 5: Engage stakeholders</span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Rule 6: Nourish networks</span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Rule 7: Trust but verify</span></span></p>
<h1>The Bottom Line: Trusted AI Is Not Only Just About Ethics, But Also About How We design AI for Human Scale In A World Built For Machine Scale</h1>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">In the Post AI world, organizations no longer compete with humans for labor. Humans will compete with bots and AI to get work done. The quest for more data sources will result in the “dark ages” of publicly available data. Most entities will not want their data to be publicly available for ingestion by other AI models. Hence, high quality public data will be scarce in the future. </span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">In order to source high quality data, data collectives will emerge to create trusted AI models in private networks. Data collective will reward small language models for providing the last mile in precision. Solid data strategy will drive the valuation of companies in the future and provide stakeholders with trusted AI. </span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">As organizations build AI for machine scale, humanizing AI will require different design aesthetics. Organizations will have to determine when they will insert a human in the process and at what cost – benefit to the organization. </span></span></p>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif">Trust in an age of AI will emerge as the north star to guide Data Inc companies.</span></span></p>
<div class="shrink-0 aspect-ratio">
<h1>Your POV</h1>
<p><span style="font-size:14pt"><span style="font-family:"Times New Roman",serif"><span style="font-family:"Calibri",sans-serif">Will you build a Data Inc. company? What steps will you take to deliver for the future?</span></span></span></p>
<p>Add your comments to the blog or reach me via email: <a href="mailto:[email protected]">R (at) ConstellationR (dot) com</a> or<a href="mailto:[email protected]"> R (at) SoftwareInsider (dot) org.</a> Please let us know if you need help with your strategy efforts. Here’s how we can assist:</p>
<ul><li>Developing your metaverse and digital business strategy</li>
<li>Connecting with other pioneers</li>
<li>Sharing best practices</li>
<li>Vendor selection</li>
<li>Implementation partner selection</li>
<li>Providing contract negotiations and software licensing support</li>
<li>Demystifying software licensing</li>
</ul><p>Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact <strong><a href="mailto:[email protected]">Sales</a></strong>.</p>
<h1><strong>Disclosures</strong></h1>
<p>Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy,stay tuned for the full client list on the <a href="http://www.constellationrg.com/clients">Constellation Research website</a>. * Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.</p>
<p>Constellation Research recommends that readers consult a stock professional for their investment guidance. Investors should understand the potential conflicts of interest analysts might face. Constellation does not underwrite or own the securities of the companies the analysts cover. Analysts themselves sometimes own stocks in the companies they cover—either directly or indirectly, such as through employee stock-purchase pools in which they and their colleagues participate. As a general matter, investors should not rely solely on an analyst’s recommendation when deciding whether to buy, hold, or sell a stock. Instead, they should also do their own research—such as reading the prospectus for new companies or for public companies, the quarterly and annual reports filed with the SEC—to confirm whether a particular investment is appropriate for them in light of their individual financial circumstances.</p>
<p>Copyright © 2001 – 2024 R Wang and Insider Associates, LLC All rights reserved.</p>
<p>Contact the <strong><a href="mailto:[email protected]">Sales</a> </strong>team to purchase this report on a a la carte basis or join the Constellation Executive Network</p>
</div>
</div>
Mon, 15 Jan 2024 02:59:19 +0000
rwang0
22937 at https://www.raywang.org
@rwang0
R 'Ray' Wang
Ray Wang
Trusted
Trusted AI
artificial intelligence
Davos
WEF24
data mastery
post-AI
FOMO POC
Budgeted AI
Data Scarcity
Data Collective
Dark Ages
Cognitive Era
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Event Report: Rebuilding Trust - The 2024 Davos Agenda
https://www.raywang.org/blog/2024-01/event-report-rebuilding-trust-2024-davos-agenda
Event Report: Rebuilding Trust - The 2024 Davos Agenda <picture>
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<img src="/sites/default/files/styles/wide/public/2024-01/%40rwang0%20Davos%20Congress%20Center%20%23Wef24.png?itok=5THik7kV" alt="Congress Center Davos " typeof="foaf:Image" class="w-100 h-auto" />
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<span class="field field--name-uid field--type-entity-reference field--label-hidden"><span lang="" about="/user/8" typeof="schema:Person" property="schema:name" datatype="">rwang0</span></span>
<span class="field field--name-created field--type-created field--label-hidden">Sat, 01/13/2024 - 01:24</span>
<div property="schema:articleBody" class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><h1 style="margin-top:16px">The World Economic Forum's Four Themes Seek To Rebuild Trust</h1>
<p><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif">The 54<sup>th</sup> annual convening at Davos brings 2700 delegates from over 130 countries to officially attend the World Economic Forum’s event. Meanwhile, an additional 5000 individuals join events around Davos in a series of programing known as UnDavos. This year’s official Davos proceedings center on four main themes:</span></span></p>
<ol><li style="margin-left: 8px;"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>Achieving Security and Cooperation in a Fractured World. </b>The forum hopes to find ways to deal with security crises and stem fragmentation of societies. </span></span></li>
<li style="margin-left: 8px;"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>Creating Growth and Jobs for a New Era. </b>Leaders seek win-win-win partnerships with government, business, and civil society to craft new economic frameworks that benefit more stakeholders.</span></span></li>
<li style="margin-left: 8px;"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>Artificial Intelligence as a Driving Force for the Economy and Society. </b>More disruptive and exponential in impact than the Internet, the conveners want to harness artificial intelligence as a force for good in all aspects of society, economy, and technology.</span></span></li>
<li style="margin-left: 8px;"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>A Long-Term Strategy for Climate, Nature and Energy. </b>Members hope to develop long-term systemic approaches to address climate through carbon reduction while improving inclusive access to food, water, and energy.</span></span></li>
</ol><h1 style="margin-top: 16px;">Self-Inflicted Crises Dominated 2023</h1>
<p><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif">By all means, 2023 was a very difficult transition for many global economies, enterprises, and individuals. Many of us wished for a return to pre 2019 conditions, but were severely disappointed. More importantly, the year continued a series of five self-inflicted crises that global leaders had to address and overcome (see Figure 1): </span></span></p>
<p><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>Figure 1. The Confluence of Crises</b></span></span></p>
<p><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><img alt="A diagram of a diagram of the difference between inflation and inflation Description automatically generated" id="Picture_x0020_1" 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" style="width:468pt; height:257pt" /></span></span></p>
<p><strong>Source</strong>: Constellation Research, Inc.</p>
<ol><li style="margin-left:8px"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>Inflation</b>. Over stimulus by governments drove goods inflation while supply chain issues exacerbated prices which led to union actions that compounded wage increases. Pernicious wage inflation could impact global growth rates. Instead of addressing the root cause of high energy costs by increasing choices and supply, leaders imposed more costly ESG requirements forcing citizens to choose between food or energy.</span></span><br />
</li>
<li style="margin-left:8px"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>Interest rates.</b> Monetary policy met fiscal constraints and central banks used interest rate increases as a blunt tool to combat inflation at the expense of economic expansion. Lower energy costs and less fiscal stimulus would have created a more market driven option in driving down interest rates</span></span><br />
</li>
<li style="margin-left:8px"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>Inventory.</b> Supply chains felt constraints from post-pandemic logistics along with a shift in inflation and interest rates as the world sought deglobalization as a means to mitigate geo-political risk. Inventory shortages increased inflation and kept prices high. Labor strife added to woes in logistics and supply chain networks.</span></span><br />
</li>
<li style="margin-left:8px"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>Infection.</b> Work from home policies led to a flight from urban dense cores to suburban spaces. This enabled dense urban cores to continue their deterioration in public safety as shop owners faced declining business and mass transit ridership plummeted. Reopening mania created revenge spending demand for luxury goods and experiences. Meanwhile lockdowns reduced childhood learning rates.</span></span><br />
</li>
<li style="margin-left:8px"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>Invasion.</b> Wars in Ukraine and Gaza, and kinetic war threats in the South China Sea and Persian Gulf continue to add to the sense of a heightened global insecurity. Armed conflicts and cyberattacks have impacted the general populaces psyche and a feeling that governments have failed to protect them. The lack of a strong benevolent super-power keeping peace through strength and savvy foreign policy has led to this decline.</span></span></li>
</ol><h1>Five Dominant Narratives Espoused By Elites Hinder The Rebuilding Of Trust</h1>
<p><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif">This convergence of these self-inflicted crises and globally enabled chaos could be attributed to the lack of leadership among the “Davos Set” to listen to and act upon the concerns of the general public by actually addressing the root causes of trust. In fact, the <a href="https://www.raywang.org/blog/2023-01/mondays-musings-davos-agenda-versus-public-trust" style="color:blue; text-decoration:underline">Davos Agenda versus Public Trust</a> has been the crux of the issue In the growing lack of trust in institutions and continues to exacerbate the divide among the general populace and the “elites”.</span></span></p>
<p><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif">From an objective point of view, this lack of trust stems from these root causes:</span></span></p>
<ol><li style="margin-left:8px"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>A Belief That The Expert Classes Know Best.</b> The notion of elites making decisions for the rest of the world and academic experts deciding policies without public input has eroded faith and public trust over the past decade. Time after time, the public has seen how the expert class lacks the pragmatic skills to govern and positively impact their lives. The pandemic showed how inept and detrimental the expert class could be. Children were deprived of schooling in long and unnecessary lockdowns. Small businesses were shut down and destroyed while big businesses were given exemptions. Vaccinations were forced upon a populace instead of giving them free will and choice to decide. Individuals were fired for upholding their personal beliefs and freedoms.</span></span><br />
</li>
<li style="margin-left:8px"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>The Great Reset Is Needed To Create A New World Order.</b> As part of the Davos Manifesto, elites felt that by influencing business leaders, the political class, and academia with the World Economic Forum’s point of view, they can craft a better society through forced polices upon the rest of the world. These elites champion forced scarcity due to climate change, global interests over local interest, big pharma vs independent medicine, technology to control others instead of technology to enable individual freedom, forcing a global competitive level playing field instead of enabling market based innovation. This reset was designed to attack countries who have outperformed the rest of the world.</span></span><br />
</li>
<li style="margin-left:8px"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>The Assault On Free Markets And Democracy As Evil Ideologies. </b>Corruption by the elites in liberal western democracies adds to the narrative that free market capitalism and democracy have created failed models. The failed models stem from the lack of accountability for performance by the ruling class to uphold the original values each institution was founded upon. From two-tiered justice systems to two-tiered healthcare, society sees how money, power, and greed have corrupted efficient markets and systems. <br /><br />
Leaders in liberal western democracies have bought votes from the populace with promises of free housing, education, healthcare while seeking contributions from business with free tax breaks, trade deals, and laws that benefit the few. At the same time, these same leaders use the prospect and delivery of more regulation to take over greater control of individual freedoms and obfuscate the efficiency of free markets. The calls for stakeholder capitalism have only proven to lead to disasters at companies who forget that their purpose is to address shareholders and have led to losses and backlash by the general public.</span></span><br />
</li>
<li style="margin-left:8px"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>Continued False Narratives of Inequality And Forced DEI.</b> The push to harness support for failed policies prays on creating class warfare and tribalism. This ideology pushes a notion of cultures divided by oppressors and oppressed. The continued division by superficial diversity (e.g. skin color, race, religion, gender, sexual orientation, country of origin) enables the pitting of one group over another while root cause issues are ignored. In these models, success is not rewarded but instead attacked.<br /><br />
Cries for equity have resulted in more inequity and injustice as small minorities inflict tyranny on silent majorities and often helpless majorities. When shop owners cannot defend their property from looting and biased district attorneys protect the criminals at the expense of victims, society finds the world turned upside down. DEI has ruined many young adults dreams to pursue educational opportunities at “elite” institutions and has prevented the promotions of hard working individuals who believe in meritocracy. Instead of creating systems that enable conditions for all types of individual to have equal opportunities, the short-term fantasy for equal outcomes without hard work has added to overall inequity and anger.</span></span><br />
</li>
<li style="margin-left:8px"><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif"><b>Hypocrisy In Do As I Say Not As I Do. </b>From leaders breaking their own quarantine rules during the pandemic to elected leaders getting away with corruption by special interests, the general public sees how laws are no longer fairly and equally applied. Laws must be applied equally to all or else systems will break and society will have chosen winners and losers. Add to the rise of misinformation campaigns and the destruction of objective journalism, these twin forces exacerbate the divided conversations among societies and continue the perception and reality of hypocrisy among elites.</span></span></li>
</ol><h1>The Bottom Line: Rebuilding Trust Must Move From Words To Actions</h1>
<p><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif">Trust is the ultimate currency. Institutions in public service, higher education, media, business, and society must uphold to higher standards of transparency and trust. Rebuilding trust requires a commitment to reward integrity and punish those who do not uphold the values required for a trusted society. Application of rules must be uniform and fair. Leaders must deliver on <a href="https://www.raywang.org/blog/2017-01/mondays-musings-dynamic-leadership-responsive-and-responsible-approach-davos-wef17" style="color:blue; text-decoration:underline">dynamic leadership</a> while balancing responsible and responsive approaches. </span></span></p>
<p><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif">Good leaders will anticipate and deliver on the needs of the majority while listening and advocating for the voices of the minority to create a culture of optimistic abundance not a culture of forced scarcity. Rebuilding trust is not lip service nor a mantra for a corporate campaign. Rebuilding trust requires a shared commitment and sacrifice to achieve a win-win win among all stakeholders.</span></span></p>
<p><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif">Trust will be earned by actions, as actions speak louder than words. Trust will be restored and elevated when individual rights are protected, meritocracy is rewarded, justice is equally applied to all, checks and balances are in place, accountability is expected, and rule-breakers will be appropriately punished.</span></span></p>
<p><span style="font-size:14pt"><span style="font-family:"Calibri",sans-serif">Trust will return when the elites abide by the same rules as everyone else.</span></span></p>
<div class="shrink-0 aspect-ratio">
<h1>Your POV</h1>
<p><span style="font-size:14pt"><span style="font-family:"Times New Roman",serif"><span style="font-family:"Calibri",sans-serif">Do you see WEF as a force of good or evil? Can trust be restored by the elites or is this a fantasy? What do you hope to get out of Davos?</span></span></span></p>
<p>Add your comments to the blog or reach me via email: <a href="mailto:[email protected]">R (at) ConstellationR (dot) com</a> or<a href="mailto:[email protected]"> R (at) SoftwareInsider (dot) org.</a> Please let us know if you need help with your strategy efforts. Here’s how we can assist:</p>
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<li>Providing contract negotiations and software licensing support</li>
<li>Demystifying software licensing</li>
</ul><p>Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact <strong><a href="mailto:[email protected]">Sales</a></strong>.</p>
<h1><strong>Disclosures</strong></h1>
<p>Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy,stay tuned for the full client list on the <a href="http://www.constellationrg.com/clients">Constellation Research website</a>. * Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.</p>
<p>Constellation Research recommends that readers consult a stock professional for their investment guidance. Investors should understand the potential conflicts of interest analysts might face. Constellation does not underwrite or own the securities of the companies the analysts cover. Analysts themselves sometimes own stocks in the companies they cover—either directly or indirectly, such as through employee stock-purchase pools in which they and their colleagues participate. As a general matter, investors should not rely solely on an analyst’s recommendation when deciding whether to buy, hold, or sell a stock. Instead, they should also do their own research—such as reading the prospectus for new companies or for public companies, the quarterly and annual reports filed with the SEC—to confirm whether a particular investment is appropriate for them in light of their individual financial circumstances.</p>
<p>Copyright © 2001 – 2024 R Wang and Insider Associates, LLC All rights reserved.</p>
<p>Contact the <strong><a href="mailto:[email protected]">Sales</a> </strong>team to purchase this report on a a la carte basis or join the Constellation Executive Network</p>
</div>
</div>
Sat, 13 Jan 2024 09:24:16 +0000
rwang0
22936 at https://www.raywang.org
@rwang0
R 'Ray' Wang
Constellation Research
Software Insider
Ray Wang
Davos
World Economic Forum
WEF24
Davos Agenda
event report
2024
trust
Rebuilding Trust
AI
artifical intelligence
great reset
hypocrisy
elites
populists
-
Trends: Tech IPOs Will Come Back In 2024
https://www.raywang.org/blog/2023-12/trends-tech-ipos-will-come-back-2024
Trends: Tech IPOs Will Come Back In 2024 <picture>
<source srcset="/sites/default/files/styles/wide/public/2023-12/%40rwang0%20%40ARM%20%40nasdaq%20%23IPO.webp?itok=TtzEsu4u 1x" media="(min-width: 0px)" type="image/webp"/>
<source srcset="/sites/default/files/styles/wide/public/2023-12/%40rwang0%20%40ARM%20%40nasdaq%20%23IPO.jpg?itok=TtzEsu4u 1x" media="(min-width: 0px)" type="image/jpeg"/>
<img src="/sites/default/files/styles/wide/public/2023-12/%40rwang0%20%40ARM%20%40nasdaq%20%23IPO.jpg?itok=TtzEsu4u" alt="ARM IPO credit Nasdaq" typeof="foaf:Image" class="w-100 h-auto" />
</picture>
<span class="field field--name-uid field--type-entity-reference field--label-hidden"><span lang="" about="/user/8" typeof="schema:Person" property="schema:name" datatype="">rwang0</span></span>
<span class="field field--name-created field--type-created field--label-hidden">Tue, 12/26/2023 - 14:47</span>
<div property="schema:articleBody" class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><h1>Two Year IPO Drought Coming To An End</h1>
<p>In 2023, only 148 companies completed an initial public offering (IPO). This was the worst year on record and followed a 15% decline from the number of IPO's in 2022, another disappointing year. In 2023, ARM was the sole blockbuster tech IPO. </p>
<p>After a brutal two years with a paucity of tech IPOs, the market is poised for a resurgence in 2024. Why? The Federal Reserve is set to reduce rates two to three times, an election year usually bodes well for the general economy regardless of party, and a number of tech companies have patiently waited to go public and now have the numbers to make it so. Not all is rosy as consumers have entered a doom spend loop and have spent down $2.1T in savings since August 2021 and now sit on about 100B in savings (as of October 2023) down 90% in a short 26 months. Yet, a drop in Fed Rates will pave the way.</p>
<h1>Tech IPO's Follow Market Trends</h1>
<p>Constellation's analysis shows a strong IPO pipeline in areas such as AI, enterprise cloud software, financial tech, space tech, and specifically some of Elon Musk's companies should they pull the trigger. Simultaneously, smart money is leaving trendy categories in clean tech, ESG, and EV's. The backlash on ESG has had its impact on funding. The results of COP 28 highlight the populist and voter backlash elected officials face and many funds have closed and liquidity is rapidly drying up.</p>
<ul></ul><h2>Tech IPO Watch List Startups</h2>
<p>On the watch list are eight names:</p>
<ol><li><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><span style="font-size:14.0pt"><strong>Shein</strong>. Fast-fashion retailer from China could fetch $80 to 90B</span></span></span></li>
<li><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><span style="font-size:14.0pt"><strong>Open A</strong>I. Despite the leadership drama which cut its valuation own to $50B, the ChatGPT startup is still a contender for 2023.</span></span></span></li>
<li><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><span style="font-size:14.0pt"><strong>Databricks</strong>. Data and analytics company competing with SnowFlake is worth up to $50B</span></span></span></li>
<li><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><span style="font-size:14.0pt"><strong>Stripe</strong>. The Fintech darling plays a key role in disrupting the payments world with an estimated $50B valuation.</span></span></span></li>
<li><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><span style="font-size:14.0pt"><strong>Discord</strong>. The cool kids are on this modern social network and their recent valuations put them at $15B.</span></span></span></li>
<li><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><span style="font-size:14.0pt"><strong>Reddit</strong>. Everyone's favorite social media forum is rumored to be valued at $15B.</span></span></span></li>
<li><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><span style="font-size:14.0pt"><strong>Canva</strong>. This Adobe competitor is on fire with a potential $10B valuation. </span></span></span></li>
<li><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><span style="font-size:14.0pt"><strong>ScaleAI</strong>. Alexandr Wang's play in AI could fetch as much as $7B.</span></span></span></li>
</ol><h1>Key Musk Companies Could Create Mega IPO's As Early As 2024</h1>
<ul><li><strong>SpaceX. </strong>Estimates of $200B in market cap could place this IPO as big as Saudi Aramco and Alibaba at their time of listing. The space exploration technology company has paved the way for the privatization of space travel and disrupted the cabal of defense contractors and NASA in cost and reliability. Some estimate the IPO in 2027, but others expect an earlier split out of StarLink.</li>
<li><strong>StarLink. </strong>While Elon Musk recently put a kabash on rumors that a spin-out of StarLink from SpaceX at an estimated $100B valuation was happening. The space communications market leader has proven its technology in civilian and military applications and could be more ready to spin out than SpaceX</li>
<li><strong>NeuraLink. </strong>The ability to connect human brain waves to machines may seem SciFi at first, but this company has seen a valuation north of $5B</li>
<li><strong>The Boring Company. </strong>At a $7B valuation, this transportation critical infrastructure tech company is not only useful for the terrestrial world, but may also play a big role in space.</li>
</ul><h1>AI Startup Ecosystems Do Differentiate by Regional Expertise</h1>
<p>In mega categories such as AI, differences abound by region. For example, AI in:</p>
<ul><li><strong>San Francisco</strong>. Founders and startups typically are run by the under 30 set pushing a consumer AI startup in Cerebral Valley</li>
<li><strong>Silicon Valley and Seattle. </strong>Startups here tend to lean towards an enterprise play with a grizzled veteran working on their 3rd AI startup or advanced chip design.</li>
<li><strong>Toronto. </strong>The GTA area boasts some of the best math and next breakthroughs in General AI.</li>
<li><strong>Boston Cambridge. </strong>AI projects focus on awesome math, hardware such as robotics, pharma research, and really smart chip design.</li>
<li><strong>New York.</strong> Wall Street loves arbitrage and AI plays a huge role. However, this bleeds into Ad Tech, and of course pharma research.</li>
<li><strong>Washington DC. </strong>Startups here focus in on the military and public policy.</li>
<li><strong>London and Paris. </strong>Research here take a focus on policy implications on humanity. Startups tend to follow suit on creating paradigms for human and AI ethics.</li>
<li><strong>Tel Aviv.</strong> Cybersecurity innovations abound here and military applications play a key role in the ecosystem.</li>
<li><strong>Dubai/ UAE. </strong>AI startups have a big Web 3.0 component and funding in the Middle East is hot hot hot as the regulatory environment for crypo has brought significant investment into the region.</li>
</ul><h1><span class="break-words "><span><span dir="ltr">The Bottom Line: Expect 2024 To Be Start Of A Comeback Cycle For Tech IPOs</span></span></span></h1>
<p><span style="font-size:12pt"><span style="font-family:"Calibri",sans-serif"><span style="font-size:14.0pt">So long, interest rates come down, and the Fed sticks the soft landing in an election year, the market conditions look bright. With a number of Series C, D, and E startups showing good metrics in lower CACS, greater ARPU, and rule of 40 growth, 2024 looks to be the start of the comeback!</span></span></span></p>
<h1>Your POV</h1>
<p>Ready for the Tech IPO boom in 2024? What startups are you piloting that we should know about? Which is your big bet for IPO in 2024?</p>
<p>Add your comments to the blog or reach me via email: <a href="mailto:[email protected]">R (at) ConstellationR (dot) com</a> or<a href="mailto:[email protected]"> R (at) SoftwareInsider (dot) org.</a> Please let us know if you need help with your strategy efforts. Here’s how we can assist:</p>
<ul><li>Developing your AI, digital business, and experience strategy</li>
<li>Connecting with other pioneers</li>
<li>Sharing best practices</li>
<li>Vendor selection</li>
<li>Implementation partner selection</li>
<li>Providing contract negotiations and software licensing support</li>
<li>Demystifying software licensing</li>
</ul><p>Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact <strong><a href="mailto:[email protected]">Sales</a></strong>.</p>
<h1><strong>Disclosures</strong></h1>
<p>Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy,stay tuned for the full client list on the <a href="http://www.constellationrg.com/clients">Constellation Research website</a>. * Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.</p>
<p>Constellation Research recommends that readers consult a stock professional for their investment guidance. Investors should understand the potential conflicts of interest analysts might face. Constellation does not underwrite or own the securities of the companies the analysts cover. Analysts themselves sometimes own stocks in the companies they cover—either directly or indirectly, such as through employee stock-purchase pools in which they and their colleagues participate. As a general matter, investors should not rely solely on an analyst’s recommendation when deciding whether to buy, hold, or sell a stock. Instead, they should also do their own research—such as reading the prospectus for new companies or for public companies, the quarterly and annual reports filed with the SEC—to confirm whether a particular investment is appropriate for them in light of their individual financial circumstances.</p>
<p>Copyright © 2001 – 2023 R Wang and Insider Associates, LLC All rights reserved.</p>
<p>Contact the <strong><a href="mailto:[email protected]">Sales</a> </strong>team to purchase this report on a a la carte basis or join the Constellation Executive Network</p>
</div>
Tue, 26 Dec 2023 22:47:19 +0000
rwang0
22913 at https://www.raywang.org
@rwang0
R 'Ray' Wang
Constellation Research
@constellationr
Insider Associates
Tech
IPO
Trends
The Boring Company
Elon Musk
NeuraLink
Starlink
SpaceX
ScaleAI
OpenAI
Reddit
Canva
Discord
Stripe
Shein
Databricks
ARM
Silicon Valley
Startups
AI
-
Survey: 2023 H2 CxO Business Confidence Survey
https://www.raywang.org/blog/2023-12/survey-2023-h2-cxo-business-confidence-survey
Survey: 2023 H2 CxO Business Confidence Survey <picture>
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<img src="/sites/default/files/styles/wide/public/2023-12/%40rwang0%2020231220%20CR%20H%20Hock%20R%20Wang%20Survey%20Constellation%20Research%27s%202023%20H2%20CxO%20Business%20Confidence%20Survey%20Front%20Page.png?itok=IyPARHdB" alt="2023 H2 CXO Business Confidence Survey" typeof="foaf:Image" class="w-100 h-auto" />
</picture>
<span class="field field--name-uid field--type-entity-reference field--label-hidden"><span lang="" about="/user/8" typeof="schema:Person" property="schema:name" datatype="">rwang0</span></span>
<span class="field field--name-created field--type-created field--label-hidden">Fri, 12/22/2023 - 14:00</span>
<div property="schema:articleBody" class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><h1><strong>Introduction</strong></h1>
<p>Constellation’s 2023 H2 “CxO Business Confidence Survey” assesses the confidence of C-suite executives in today’s business and technology climate as well as their financial outlook for 2023. The survey asked respondents to identify top business issues impacting their enterprises, weigh in on their state of investment in digital technologies, and confirm which service and software vendors are top of mind in the industry.</p>
<p>Every enterprise has been affected by the generative AI boom in 2023, particularly its growth surge over the last six months. Although many efforts remain in the pilot state, enterprises are shifting their focus and budgets to digital tool adoption, large language models (LLMs), efficiency and productivity automation, and artificial intelligence (AI) skills training.</p>
<p>The end-of-year reality around generative AI is largely “hurry up and wait.” Buy-side CxOs are balancing the pressure to invest in the AI space with the need for certainty about the reliability of these new tools. In turn, enterprise tech vendors recognize and predict strong revenue potential in the generative AI space but currently are in the waiting phase of tangible selling and the client’s desire to see tangible return on investment (ROI).</p>
<h1><strong>Despite Prior Reservations, CxOs Shift To Optimism in 2013</strong></h1>
<p class="CRBody" style="margin-bottom:16px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif">To conclude the “CxO Business Confidence Survey,” executives were asked whether their enterprise was experiencing a better business climate in 2023 than in 2022. The question elicited an optimistic response of “yes” from 51% of the CxO respondents. This has shifted from Constellation’s 2022 Q4 CxO survey, where 67% predicted a worse business climate for 2023 overall <span style="background:yellow">(see Figure 8).</span></span></span></p>
<p class="CRBody" style="margin-bottom:16px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif">The data suggests an outlook shift from CxOs regarding the potential of emerging technologies, market growth, and revenue potential. CxOs who have been proactively using their technology budget to find solutions and grow are only increasing their investment after seeing the payoff. </span></span></p>
<p class="CRBody" style="margin-bottom:16px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif">Although 49% of enterprises are not experiencing a better business environment yet, the most interesting observation is regarding the mindset of CxOs. Perhaps the recent strides in technology have opened new doors of possibility to reduce costs, grow the business, and create stability.</span></span></p>
<h1>Your POV</h1>
<p>Whats your sentiment for 2024? Are you more optimistic or pessimistic?</p>
<p>Add your comments to the blog or reach me via email: <a href="mailto:[email protected]">R (at) ConstellationR (dot) com</a> or<a href="mailto:[email protected]"> R (at) SoftwareInsider (dot) org.</a> Please let us know if you need help with your strategy efforts. Here’s how we can assist:</p>
<ul><li>Developing your AI, digital business, and experience strategy</li>
<li>Connecting with other pioneers</li>
<li>Sharing best practices</li>
<li>Vendor selection</li>
<li>Implementation partner selection</li>
<li>Providing contract negotiations and software licensing support</li>
<li>Demystifying software licensing</li>
</ul><p>Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact <strong><a href="mailto:[email protected]">Sales</a></strong>.</p>
<h1><strong>Disclosures</strong></h1>
<p>Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy,stay tuned for the full client list on the <a href="http://www.constellationrg.com/clients">Constellation Research website</a>. * Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.</p>
<p>Constellation Research recommends that readers consult a stock professional for their investment guidance. Investors should understand the potential conflicts of interest analysts might face. Constellation does not underwrite or own the securities of the companies the analysts cover. Analysts themselves sometimes own stocks in the companies they cover—either directly or indirectly, such as through employee stock-purchase pools in which they and their colleagues participate. As a general matter, investors should not rely solely on an analyst’s recommendation when deciding whether to buy, hold, or sell a stock. Instead, they should also do their own research—such as reading the prospectus for new companies or for public companies, the quarterly and annual reports filed with the SEC—to confirm whether a particular investment is appropriate for them in light of their individual financial circumstances.</p>
<p>Copyright © 2001 – 2023 R Wang and Insider Associates, LLC All rights reserved.</p>
<p>Contact the <strong><a href="mailto:[email protected]">Sales</a> </strong>team to purchase this report on a a la carte basis or join the Constellation Executive Network</p>
</div>
Fri, 22 Dec 2023 22:00:10 +0000
rwang0
22921 at https://www.raywang.org
@rwang0
R 'Ray' Wang
Ray Wang
Constellation Research
Insider Associates
Survey
CXO Confidence
-
Big Idea: Return on Transformation Investments (RTI)
https://www.raywang.org/blog/2023-12/big-idea-return-transformation-investments-rti
Big Idea: Return on Transformation Investments (RTI) <picture>
<source srcset="/sites/default/files/styles/wide/public/2023-12/20231221%20R%20Wang%20Big%20Idea%20RTI%20Front%20Page.webp?itok=Oq292ARE 1x" media="(min-width: 0px)" type="image/webp"/>
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<img src="/sites/default/files/styles/wide/public/2023-12/20231221%20R%20Wang%20Big%20Idea%20RTI%20Front%20Page.png?itok=Oq292ARE" alt="Big Idea Return on Transformation Investments RTI" typeof="foaf:Image" class="w-100 h-auto" />
</picture>
<span class="field field--name-uid field--type-entity-reference field--label-hidden"><span lang="" about="/user/8" typeof="schema:Person" property="schema:name" datatype="">rwang0</span></span>
<span class="field field--name-created field--type-created field--label-hidden">Thu, 12/21/2023 - 12:42</span>
<div property="schema:articleBody" class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><h1><strong>Executive Summary</strong></h1>
<p>Many organizations have performed classical cost-benefit analyses to determine the impact of business technology projects. Although these approaches account for the quantifiable metrics, they often fail to capture key attributes such as probability of success and level of difficulty in project type. <br /><br />
Today’s artificial intelligence (AI) and business transformation projects require a much more holistic approach when evaluating the value created for an entire organization. Consequently, boards and their executives seek richer attributes to augment their traditional decision-making techniques. <br /><br />
Welcome to Constellation’s Return on Transformation Investment (RTI) methodology to provide decision support for business and technology leaders in their investment analyses. The methodology accounts for four elements that must be considered for any digital transformation project: cost, benefit, probability, and project type.</p>
<p><a href="https://www.constellationr.com/file/29207/download?token=vdY1z8lbSPotE011RZI5X3rLBUF_YS-Xc83yYoVGyxw">Download the Report Here</a></p>
<p> </p>
<h1 class="CRHeading1" style="margin-bottom: 11px;"><strong>Quantiyfing Success In Business Transformation Requires New Techniques For Measurement</strong></h1>
<p class="CRBody" style="margin-bottom:16px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif">Old-school return on investment (ROI) calculations and legacy ownership cost calculations have not been modernized for the world of digital transformation. The understanding of economic impact is not enough to determine successful transformation. In conversations with more than 200 leading business transformation executives, Constellation found that most believe existing techniques fail to provide a holistic and pragmatic perspective for a few reasons:</span></span></p>
<ul><li class="CRBulletList" style="margin-bottom:16px; margin-left:8px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif"><b>The long view is often ignored in short-term project execution.</b> Even though business transformation projects have longer time frames, most business leaders and technology executives work from yearly budgets but live quarter to quarter. With an average tenure of 2.8 years for transformation leaders, the incentives are not in alignment with long-term benefits. In fact, most ROI calculations fail to consider the longer-term impact analysis. </span></span></li>
<li class="CRBulletList" style="margin-bottom:16px; margin-left:8px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif"><b>Likelihood of success not considered in investment analysis. </b>Armed with the most complex analysis and management consulting type of projections, executives often make their case for transformation. Unfortunately, project sponsors rarely rank the likelihood of success for these transformation efforts. A proper portfolio analysis requires an understanding of a project’s propensity for success.</span></span></li>
<li class="CRBulletList" style="margin-bottom:16px; margin-left:8px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif"><b>Impact analysis fails to consider qualitative attributes. </b>Organizations can easily ascertain hard metrics such as cost and benefit. However, the determination of probability and impact requires industry expertise and access to the best practices from early adopters who can provide validation. </span></span></li>
<li class="CRBulletList" style="margin-bottom:16px; margin-left:8px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif"><b>Project types do not reflect the level of difficulty that must be overcome. </b>Cost takeout projects differ greatly from business model transformation. Revenue and growth initiatives are usually more complicated than operational efficiency. Compliance projects will always be funded despite economic status. Applying a difficulty factor can help organizations with prioritization of budget, resources, and time. </span></span></li>
</ul><h1 class="CRHeading1" style="margin-bottom: 11px;"><strong>The Bottom Line: User RTI to Evaluate Investment Prioritization</strong></h1>
<p class="CRBody" style="margin-bottom:16px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif">The RTI methodology of cost, benefit, probability, and project type provides a proven approach to evaluating investment prioritization for a portfolio of transformation initiatives. Constellation recommends the following:</span></span></p>
<ul><li class="CRBulletList" style="margin-bottom:16px; margin-left:8px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif"><b>Apply a consistent formal methodology to assess transformation efforts. </b>C-level change agents agree that a formal methodology such as RTI will allow for consistent evaluation of projects and assist with prioritization. Formalizing the methodology ensures a consistent approach to quantifying and qualifying the value of a transformation initiative. </span></span></li>
<li class="CRBulletList" style="margin-bottom:16px; margin-left:8px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif"><b>Be diligent in developing metrics for each element. </b>What is measured will determine what the results are. Focus on first principles and the metrics that matter.</span></span></li>
<li class="CRBulletList" style="margin-bottom:16px; margin-left:8px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif"><b>Consider how technology will transform business models. </b>Focus on the business model and then see what technologies will transform the business. Every project should be driven by the business and apply exponential technologies to achieve the desired outcome.</span></span></li>
<li class="CRBulletList" style="margin-bottom:16px; margin-left:8px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif"><b>Determine the sustainable impact of a transformation investment. </b>Some projects have a half-life; others provide durability. Prioritize those projects that have cultural buy-in and create enduring impact. </span></span></li>
<li class="CRBulletList" style="margin-bottom:16px; margin-left:8px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif"><b>Educate all stakeholders on the RTI methodology. </b>The methodology for RTI should be taught at the level 1 and level 2 tiers of executive management. Use the RTI methodology across business units, finance, IT, and operations. </span></span></li>
</ul><p class="CRBody" style="margin-bottom:16px"> </p>
<h1>Your POV</h1>
<p>Are you using an old ROI model that doesn't capture return on transformation? Do you need assistance considering portfolio strategy?</p>
<p>Add your comments to the blog or reach me via email: <a href="mailto:[email protected]">R (at) ConstellationR (dot) com</a> or<a href="mailto:[email protected]"> R (at) SoftwareInsider (dot) org.</a> Please let us know if you need help with your strategy efforts. Here’s how we can assist:</p>
<ul><li>Developing your AI, digital business, and experience strategy</li>
<li>Connecting with other pioneers</li>
<li>Sharing best practices</li>
<li>Vendor selection</li>
<li>Implementation partner selection</li>
<li>Providing contract negotiations and software licensing support</li>
<li>Demystifying software licensing</li>
</ul><p>Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact <strong><a href="mailto:[email protected]">Sales</a></strong>.</p>
<h1><strong>Disclosures</strong></h1>
<p>Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy,stay tuned for the full client list on the <a href="http://www.constellationrg.com/clients">Constellation Research website</a>. * Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.</p>
<p>Constellation Research recommends that readers consult a stock professional for their investment guidance. Investors should understand the potential conflicts of interest analysts might face. Constellation does not underwrite or own the securities of the companies the analysts cover. Analysts themselves sometimes own stocks in the companies they cover—either directly or indirectly, such as through employee stock-purchase pools in which they and their colleagues participate. As a general matter, investors should not rely solely on an analyst’s recommendation when deciding whether to buy, hold, or sell a stock. Instead, they should also do their own research—such as reading the prospectus for new companies or for public companies, the quarterly and annual reports filed with the SEC—to confirm whether a particular investment is appropriate for them in light of their individual financial circumstances.</p>
<p>Copyright © 2001 – 2023 R Wang and Insider Associates, LLC All rights reserved.</p>
<p>Contact the <strong><a href="mailto:[email protected]">Sales</a> </strong>team to purchase this report on a a la carte basis or join the Constellation Executive Network</p>
</div>
Thu, 21 Dec 2023 20:42:13 +0000
rwang0
22920 at https://www.raywang.org
@rwang0
R 'Ray' Wang
Ray Wang
Constellation Research
Insider Associates
big idea
Return on Transformation Investment
RTI
-
News Analysis: Sam Altman's Steve Job's Moment And Satya Nadella Just Saved His Microsoft Stock Price
https://www.raywang.org/blog/2023-11/news-analysis-sam-altmans-steve-jobs-moment-and-satya-nadella-just-saved-his-microsoft
News Analysis: Sam Altman's Steve Job's Moment And Satya Nadella Just Saved His Microsoft Stock Price <picture>
<source srcset="/sites/default/files/styles/wide/public/2023-11/%40rwang0%20%40sama%20%40openAI.webp?itok=GnJF5skk 1x" media="(min-width: 0px)" type="image/webp"/>
<source srcset="/sites/default/files/styles/wide/public/2023-11/%40rwang0%20%40sama%20%40openAI.jpg?itok=GnJF5skk 1x" media="(min-width: 0px)" type="image/jpeg"/>
<img src="/sites/default/files/styles/wide/public/2023-11/%40rwang0%20%40sama%20%40openAI.jpg?itok=GnJF5skk" alt="Sam Altman Guest Badge" typeof="foaf:Image" class="w-100 h-auto" />
</picture>
<span class="field field--name-uid field--type-entity-reference field--label-hidden"><span lang="" about="/user/8" typeof="schema:Person" property="schema:name" datatype="">rwang0</span></span>
<span class="field field--name-created field--type-created field--label-hidden">Mon, 11/20/2023 - 01:23</span>
<div property="schema:articleBody" class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><h1><span class="break-words "><span><span dir="ltr">Sam Altman just faced his Steve Jobs moment when the OpenAI board fired him on Friday.</span></span></span></h1>
<p><br /><span class="break-words "><span><span dir="ltr">The balance between too much governance and not enough innovation was the challenge OpenAI faced. This was a very immature board with members who had never built companies, never moved from ideology to commercialization, nor had any pragmatic board experience.<br />
<br />
The board's big worries were</span></span></span></p>
<ul><li>Ownership of training data</li>
<li><span class="break-words "><span><span dir="ltr">Impact of untested models</span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">Unwanted bias detection</span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">Effective altruism</span></span></span></li>
</ul><p><span class="break-words "><span><span dir="ltr"> <br />
However, OpenAI's biggest challenge is making the economics work. To get to the next level, the team needed to push hard to commercialize and balance ideology with pragmatic solutions. Sam and Greg knew the teams were not moving fast enough.<br />
<br />
To put this all in context:<br />
<br />
Google has been the most careful and the most innovative<br />
Microsoft has been very careful and the most adaptive despite a lack of compute<br />
Open AI was the most careful and the slowest at concept to commercialization.</span></span></span></p>
<h1><span class="break-words "><span><span dir="ltr">The Push To Move Faster Was Met With Board Resistance</span></span></span></h1>
<p><span class="break-words "><span><span dir="ltr">Sam's move to accelerate commercialization was the right next steps. A war between the go fast folks and the go right folks led to the ouster. However, the board's childish approach to letting him go was somewhere between borderline negligence to fiduciary responsibility and the undue influence of effective altruism movement, where there is a belief AI will kill us all. </span></span></span></p>
<article class="media media--type-image media--view-mode-default" data-align="center"><picture><source srcset="/sites/default/files/styles/wide/public/2023-11/%40rwang0%20%40mariabartiromo%20%40morningmaria%20%40nvidia%20%40openai%20%40microsoft.webp?itok=XDog7AxM 1x" media="(min-width: 0px)" type="image/webp"></source><source srcset="/sites/default/files/styles/wide/public/2023-11/%40rwang0%20%40mariabartiromo%20%40morningmaria%20%40nvidia%20%40openai%20%40microsoft.png?itok=XDog7AxM 1x" media="(min-width: 0px)" type="image/png"></source><img src="/sites/default/files/styles/wide/public/2023-11/%40rwang0%20%40mariabartiromo%20%40morningmaria%20%40nvidia%20%40openai%20%40microsoft.png?itok=XDog7AxM" alt="Fox Business Mornings with Maria Nvidia OpenAI Microsoft" typeof="foaf:Image" class="w-100 h-auto" /></picture></article><p><br /><br /><span class="break-words "><span><span dir="ltr">Let's review what's been going on.</span></span></span></p>
<h2><span class="break-words "><span><span dir="ltr">Timeline Of A Steve Jobs Moment for Sam Altman</span></span></span></h2>
<p><span class="break-words "><span><span dir="ltr"><strong>Friday a Day of Hasty Decisions</strong></span></span></span></p>
<ul><li>Board removes Sam</li>
<li><span class="break-words "><span><span dir="ltr">Greg Brockman says stay but we’re removing you from the board</span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">Microsoft gets a 5 minute warning</span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">AI team protests and supports Sam</span></span></span></li>
</ul><p><br /><span class="break-words "><span><span dir="ltr"><strong>Saturday a Day of Regret</strong></span></span></span></p>
<ul><li>Microsoft is working in the background to get Sam back</li>
<li><span class="break-words "><span><span dir="ltr">Investors are suggesting new board members</span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">Speculations that Sam will be back</span></span></span></li>
</ul><p><br /><span class="break-words "><span><span dir="ltr"><strong>Sunday Night: The Rise of the Phoenix</strong></span></span></span></p>
<ul><li>Board steps down</li>
<li><span class="break-words "><span><span dir="ltr">New board placed with Emmet Shear named Interim Chief</span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">Microsoft asking for an observer seat</span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">Negotiations with Sam fails</span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">Microsoft most negatively impacted and Satya hatches a plan</span></span></span></li>
</ul><p><br /><span class="break-words "><span><span dir="ltr"><strong>Monday: Back to Business or Massive Chaos</strong></span></span></span></p>
<ul><li>Looks like massive chaos without Sam Altman</li>
<li><span class="break-words "><span><span dir="ltr"><a data-attribute-index="0" data-entity-type="MINI_PROFILE" href="https://www.linkedin.com/in/ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ">Satya Nadella</a> snatches Sam and Greg to lead new AI division at <a data-attribute-index="2" data-entity-type="MINI_COMPANY" href="https://www.linkedin.com/company/microsoft/">Microsoft</a> </span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">Microsoft snatches victory from the jaws of defeat and saving the all so important stock price in its quest to be the most valuable company on earth</span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">Emmett Shear, the co-founder of Twitch, will be named the company’s interim chief, replacing Mira Murati, who was named interim CEO in a management reshuffle Friday</span></span></span></li>
</ul><p><span class="break-words "><span><span dir="ltr">UPDATED</span></span></span></p>
<p><span class="break-words "><span><span dir="ltr"><strong>Tuesday: A Day of Reconciliation </strong></span></span></span></p>
<ul><li><span class="break-words "><span><span dir="ltr">Rumors surface that the board wants Sam Back</span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">Satya confirms that he's fine if he stays at Microsoft or goes back</span></span></span></li>
</ul><p><span class="break-words "><span><span dir="ltr"><strong>Wednesday: Time to Clean House</strong></span></span></span></p>
<ul><li><span class="break-words "><span><span dir="ltr">Sam Altman is back</span></span></span></li>
<li><span class="break-words "><span><span dir="ltr">Board is let go and replaced</span></span></span></li>
<li>Bret Taylor, Larry Summers and Adam D’Angelo join the board. Bret Taylor named Chairman.</li>
</ul><h1><span class="break-words "><span><span dir="ltr">Key Questions Remain For Open AI</span></span></span></h1>
<p><span class="break-words "><span><span dir="ltr">Who will pick up OpenAI for a much lower valuation?<br /><br />
Kyle Vogt, CEO of Cruise, and also co-founder of Twitch quits. Is this a coincidence?</span></span></span></p>
<p><span class="break-words "><span><span dir="ltr">Where will all the go fast people go to? Google? Apple? Tesla? Nvidia?</span></span></span></p>
<h1><br /><span class="break-words "><span><span dir="ltr">The Bottom Line: Go Fast Acceleration of AI Folks Leave For Commercial Entities As The Go Slow Non-Profit Folks Fall Behind</span></span></span></h1>
<p><span class="break-words "><span><span dir="ltr">Founders must build a strong board or face dire consequences. Companies and organizations that can't move fast enough, have inept boards, and fail to maintain trust with customers will perish. In the case of AI the attempt to go slow by OpenAI with an ouster of its founder and CEO has resulted in the opposite effect.The unleashing of massive AI acceleration is about to take place as the go fast folks will end up at commercial entities and leave the non-profit behind. This was not the intention, but the reality is that no one can contain the advancement of technology for too long, especially AI.</span></span></span></p>
<p><span class="break-words "><span><span dir="ltr">Moreover, OpenAI's valuation of $89 billion will probably be cut while MIcrosoft picks up $89 billion in valuation for very little investment poaching Sam and Greg. Kudos to Satya Nadella for saving the market cap of Microsoft and gaining an army of AI Talent.</span></span></span></p>
<h1>Your POV</h1>
<p>How will we create an even playing field for capitalism to survive in an age of AI? What risks do you see with AI? Will non-profits such as OpenAI be able to hold their ground? Who will win in the AI Wars?</p>
<p>Add your comments to the blog or reach me via email: <a href="mailto:[email protected]">R (at) ConstellationR (dot) com</a> or<a href="mailto:[email protected]"> R (at) SoftwareInsider (dot) org.</a> Please let us know if you need help with your strategy efforts. Here’s how we can assist:</p>
<ul><li>Developing your AI, digital business, and experience strategy</li>
<li>Connecting with other pioneers</li>
<li>Sharing best practices</li>
<li>Vendor selection</li>
<li>Implementation partner selection</li>
<li>Providing contract negotiations and software licensing support</li>
<li>Demystifying software licensing</li>
</ul><p>Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact <strong><a href="mailto:[email protected]">Sales</a></strong>.</p>
<h1><strong>Disclosures</strong></h1>
<p>Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy,stay tuned for the full client list on the <a href="http://www.constellationrg.com/clients">Constellation Research website</a>. * Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.</p>
<p>Constellation Research recommends that readers consult a stock professional for their investment guidance. Investors should understand the potential conflicts of interest analysts might face. Constellation does not underwrite or own the securities of the companies the analysts cover. Analysts themselves sometimes own stocks in the companies they cover—either directly or indirectly, such as through employee stock-purchase pools in which they and their colleagues participate. As a general matter, investors should not rely solely on an analyst’s recommendation when deciding whether to buy, hold, or sell a stock. Instead, they should also do their own research—such as reading the prospectus for new companies or for public companies, the quarterly and annual reports filed with the SEC—to confirm whether a particular investment is appropriate for them in light of their individual financial circumstances.</p>
<p>Copyright © 2001 – 2023 R Wang and Insider Associates, LLC All rights reserved.</p>
<p>Contact the <strong><a href="mailto:[email protected]">Sales</a> </strong>team to purchase this report on a a la carte basis or join the Constellation Executive Network</p>
</div>
Mon, 20 Nov 2023 09:23:53 +0000
rwang0
22857 at https://www.raywang.org
@rwang0
R 'Ray' Wang
Ray Wang
AI
OpenAI
Sam Altman
@sama
Greg Brockman
Microsoft
Satya Nadella
News Analysis
Coup
Silicon Valley
Tech Wars
Digital giants
Google
Apple
Stock Valuation
Emmett Shear
Mira Murati
Ilya Sutskever
effective altruism
-
Research Summary: The Urgent Case For A Chief AI Officer
https://www.raywang.org/blog/2023-09/research-summary-urgent-case-chief-ai-officer
Research Summary: The Urgent Case For A Chief AI Officer <picture>
<source srcset="/sites/default/files/styles/wide/public/2023-10/%40rwang0%20%40andythurai%2020230928%20CR%20A%20Thurai%20R%20Wang%20Big%20Idea%20The%20Urgent%20Case%20for%20a%20Chief%20AI%20Officer%20Front%20Page.webp?itok=vpBBvvqt 1x" media="(min-width: 0px)" type="image/webp"/>
<source srcset="/sites/default/files/styles/wide/public/2023-10/%40rwang0%20%40andythurai%2020230928%20CR%20A%20Thurai%20R%20Wang%20Big%20Idea%20The%20Urgent%20Case%20for%20a%20Chief%20AI%20Officer%20Front%20Page.png?itok=vpBBvvqt 1x" media="(min-width: 0px)" type="image/png"/>
<img src="/sites/default/files/styles/wide/public/2023-10/%40rwang0%20%40andythurai%2020230928%20CR%20A%20Thurai%20R%20Wang%20Big%20Idea%20The%20Urgent%20Case%20for%20a%20Chief%20AI%20Officer%20Front%20Page.png?itok=vpBBvvqt" alt="Chief AI Officer" typeof="foaf:Image" class="w-100 h-auto" />
</picture>
<span class="field field--name-uid field--type-entity-reference field--label-hidden"><span lang="" about="/user/8" typeof="schema:Person" property="schema:name" datatype="">rwang0</span></span>
<span class="field field--name-created field--type-created field--label-hidden">Thu, 09/28/2023 - 22:58</span>
<div property="schema:articleBody" class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><h1>Executive Summary</h1>
<p class="CRBody" style="margin-bottom:16px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif">With artificial intelligence (AI) projects all the rage, organizations must make a strategic determination to create a new CxO role at least at a functional level if not at a title level.. This decision should not be made lightly, however. Although the chief AI officer (CAIO) role is critical to an organization’s success, the level of collaboration across business, IT, finance and operations, HR, and legal risk and compliance requires an unprecedented level of cooperation and orchestration. Boards will also want to consider AI at the same level as CyberSecurity.</span></span></p>
<p class="CRBody" style="margin-bottom:16px"><span style="font-size:11pt"><span style="font-family:"Verdana",sans-serif">After speaking with two dozen CAIOs, Constellation expects the role to be different across organizations and ultimately infused into all aspects of the business by 2026. As the AI field accelerates, organizations that fail to create the CAIO role will be left behind.</span></span></p>
<h1 class="CRBody" style="margin-bottom: 16px;">Enter the CAIO</h1>
<p align="left" style="margin-bottom:13px; text-align:left"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152">The case for a CAIO is simple. AI is still immature; hasn’t been proven in most enterprise settings; and needs many surrounding acts such as security, privacy, governance, provenance, ethicality, and truthfulness before it can offer real value to enterprises. With great power comes great liability: Such is the case with AI. There is a lot of liability in using external tools as well as using decisions proposed by AI with full confidence in real-world applications. A single point of responsibility and accountability will ensure the right orchestration and collaboration across the organization.</span></span></span></span></p>
<p align="left" style="margin-bottom:13px; text-align:left"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152">Furthermore, organizations need a champion for AI, just as they did for digital transformation. In fact, the C-suite often is not fully aware of the complete AI capabilities, yet they are mesmerized by the possibilities. While improving operational efficiencies—whether in IT, customer support, help desk, incident management, or even bringing in additional revenues by launching innovative offerings—they are sold on the idea that their enterprise can be unique and can be the first. The viral popularization of ChatGPT makes them think AI is so easy that anyone can implement any solution in a matter of days, without realizing the liabilities and consequences to their organization.</span></span></span></span></p>
<p align="left" style="margin-bottom:13px; text-align:left"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152">A CAIO will balance the opportunities with the risks. For example, AI projects need standardized security, privacy, governance, auditing, legal, and risk management. There also needs to be a center of excellence that can coach the project participants to conduct the AI projects in the fastest and most efficient manner. In addition, a CAIO should be responsible for oversight, strategy, and vision.</span></span></span></span></p>
<p align="left" style="margin-bottom:13px; text-align:left"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152">Thus, there is a need for a CAIO that in some cases might report directly to the CEO but who will work closely with the technical as well as legal, corporate governance, board, finance, human resources, and other senior-level executives in the organization. These multitudes of requirements need to be under one umbrella and managed by a single responsible executive who will build the case for business necessity, create relevant use cases, assess outcomes, and determine ROI.</span></span></span></span></p>
<p class="CRBody" style="margin-bottom:16px"><span style="font-size:11.0pt"><span style="font-family:"Verdana",sans-serif">Consequently, every organization will need a CAIO to start the process, and eventually the CAIO role will be infused within the organization across business and technology units (see Figure 1)</span></span></p>
<p class="CRBody" style="margin-bottom:16px"><strong><span style="font-size:11.0pt"><span style="font-family:"Verdana",sans-serif">Figure 1. CAIO Must Find Balance</span></span></strong></p>
<article class="media media--type-image media--view-mode-default" data-align="center"><picture><source srcset="/sites/default/files/styles/wide/public/2023-10/%40rwang0%20CAIO%20must%20balance.webp?itok=74bB-UzR 1x" media="(min-width: 0px)" type="image/webp"></source><source srcset="/sites/default/files/styles/wide/public/2023-10/%40rwang0%20CAIO%20must%20balance.png?itok=74bB-UzR 1x" media="(min-width: 0px)" type="image/png"></source><img src="/sites/default/files/styles/wide/public/2023-10/%40rwang0%20CAIO%20must%20balance.png?itok=74bB-UzR" alt="CAIO Balances" typeof="foaf:Image" class="w-100 h-auto" /></picture></article><h1><a href="https://www.surveymonkey.com/r/AI-officer-survey">Take The CAIO Surve</a>y </h1>
<p>Understand what's next for CAIO's. Complete the survey and get the results!</p>
<h1><a href="https://www.constellationr.com/research/urgent-case-chief-ai-officer">Buy The Full Report</a></h1>
<p class="MsoToc1" style="margin-bottom:7px"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152"><a href="#_Toc146487836" style="color:blue; text-decoration:underline">Executive Summary<span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">. </span></span></span></span><span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">4</span></span></span></span></a></span></span></span></span></p>
<p class="MsoToc1" style="margin-bottom:7px"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152"><a href="#_Toc146487837" style="color:blue; text-decoration:underline">Boards Prioritizing AI Projects Above All Else in Many Organizations<span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">. </span></span></span></span><span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">5</span></span></span></span></a></span></span></span></span></p>
<p class="MsoToc1" style="margin-bottom:7px"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152"><a href="#_Toc146487838" style="color:blue; text-decoration:underline">The Case for a New Chief AI Officer (CAIO) <span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">5</span></span></span></span></a></span></span></span></span></p>
<p class="MsoToc1" style="margin-bottom:7px"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152"><a href="#_Toc146487839" style="color:blue; text-decoration:underline">Enter the CAIO<span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">. </span></span></span></span><span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">6</span></span></span></span></a></span></span></span></span></p>
<p class="MsoToc1" style="margin-bottom:7px"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152"><a href="#_Toc146487840" style="color:blue; text-decoration:underline">Who Will Be the Next CAIO?<span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">. </span></span></span></span><span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">8</span></span></span></span></a></span></span></span></span></p>
<p class="MsoToc1" style="margin-bottom:7px"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152"><a href="#_Toc146487841" style="color:blue; text-decoration:underline">The Bottom Line: AI Will Be Infused Into All Aspects of the Business by 2026<span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">. </span></span></span></span><span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">9</span></span></span></span></a></span></span></span></span></p>
<p class="MsoToc1" style="margin-bottom:7px"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152"><a href="#_Toc146487842" style="color:blue; text-decoration:underline">Take the CAIO Survey Today<span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">. </span></span></span></span><span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">9</span></span></span></span></a></span></span></span></span></p>
<p class="MsoToc1" style="margin-bottom:7px"><span style="font-size:11pt"><span style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><span style="color:#403152"><a href="#_Toc146487843" style="color:blue; text-decoration:underline">Endnotes<span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">. </span></span></span></span><span style="color:#403152"><span style="display:none"><span style="text-decoration:none"><span style="text-underline:none">10</span></span></span></span></a></span></span></span></span></p>
<h1>Your POV</h1>
<p>Who will be your CAIO? Will we end up with a Chief Digital, AI, Transformation, Technology, Information Officer?</p>
<p>Add your comments to the blog or reach me via email: <a href="mailto:[email protected]">R (at) ConstellationR (dot) com</a> or<a href="mailto:[email protected]"> R (at) SoftwareInsider (dot) org.</a> Please let us know if you need help with your strategy efforts. Here’s how we can assist:</p>
<ul><li>Developing your AI, digital business, and experience strategy</li>
<li>Connecting with other pioneers</li>
<li>Sharing best practices</li>
<li>Vendor selection</li>
<li>Implementation partner selection</li>
<li>Providing contract negotiations and software licensing support</li>
<li>Demystifying software licensing</li>
</ul><p>Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact <strong><a href="mailto:[email protected]">Sales</a></strong>.</p>
<h1><strong>Disclosures</strong></h1>
<p>Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy,stay tuned for the full client list on the <a href="http://www.constellationrg.com/clients">Constellation Research website</a>. * Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.</p>
<p>Constellation Research recommends that readers consult a stock professional for their investment guidance. Investors should understand the potential conflicts of interest analysts might face. Constellation does not underwrite or own the securities of the companies the analysts cover. Analysts themselves sometimes own stocks in the companies they cover—either directly or indirectly, such as through employee stock-purchase pools in which they and their colleagues participate. As a general matter, investors should not rely solely on an analyst’s recommendation when deciding whether to buy, hold, or sell a stock. Instead, they should also do their own research—such as reading the prospectus for new companies or for public companies, the quarterly and annual reports filed with the SEC—to confirm whether a particular investment is appropriate for them in light of their individual financial circumstances.</p>
<p>Copyright © 2001 – 2023 R Wang and Insider Associates, LLC All rights reserved.</p>
<p>Contact the <strong><a href="mailto:[email protected]">Sales</a> </strong>team to purchase this report on a a la carte basis or join the Constellation Executive Network</p>
</div>
Fri, 29 Sep 2023 05:58:01 +0000
rwang0
22819 at https://www.raywang.org
@rwang0
R 'Ray' Wang
Chief AI Officer
CAIO
Constellation Research
Insider Associates
Software Insider
New CSuite
AI
Artificial Intellgience
ML
Andy Thurai
Research Summary
-
Monday's Musings: Will Generative AI Drive Humanity Into The Dark Ages Of Knowledge?
https://www.raywang.org/blog/2023-08/mondays-musings-will-generative-ai-drive-humanity-dark-ages-knowledge
Monday's Musings: Will Generative AI Drive Humanity Into The Dark Ages Of Knowledge? <picture>
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<span class="field field--name-uid field--type-entity-reference field--label-hidden"><span lang="" about="/user/8" typeof="schema:Person" property="schema:name" datatype="">rwang0</span></span>
<span class="field field--name-created field--type-created field--label-hidden">Sat, 08/26/2023 - 10:33</span>
<div property="schema:articleBody" class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><h1>Big Brains In AI Discuss The Risks of Generative AI At Reinvent Futures Event</h1>
<p>On July 27th, 2023, almost 300 people gathered at<a href="https://twitter.com/Shack15SF"> Shack15 </a>in the Ferry building in San Francisco to discuss the actual risks of Generative AI. The event hosted by <a href="https://twitter.com/ReinventNet">Reinvent Futures</a> with<a href="https://twitter.com/PeterLeyden"> Peter Leyden</a> and<a href="https://twitter.com/BoggioJoe"> Joe Boggio </a>brought together the biggest minds on AI for an evening of deep discussion.</p>
<p>Speakers included:</p>
<ul><li><a href="https://twitter.com/BrianBehlendorf">Brian Behlendorf</a></li>
<li><a href="https://twitter.com/GBowles">Gary Bowles</a></li>
<li><a href="https://twitter.com/EliChen">Eli Chen</a></li>
<li>Earl Comstock</li>
<li><a href="https://twitter.com/DanielErasmus">Daniel Erasmus</a></li>
<li><a href="https://twitter.com/CCGong">CC Gong</a></li>
<li><a href="https://twitter.com/DazzaGreenwood">Dazza Greenwood</a></li>
<li><a href="https://twitter.com/Jerry_Kaplan">Jerry Kaplan</a></li>
<li><a href="https://twitter.com/DeKai123">De Kai</a></li>
<li><a href="https://twitter.com/FionaMa">Fiona Ma</a></li>
<li><a href="https://twitter.com/EShaotran">Ethan Shaotran</a></li>
</ul><ol></ol><p><iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/nZdnw62NV_Y?si=Jr9JNp6t0Ml3p0Qo" title="YouTube video player" width="560"></iframe></p>
<h1>The World Can Expect Twelve Major Risks of AI</h1>
<p>In general, the opportunities for AI are exponential. There is much good ahead. As with all technologies, the humans behind them can turn them into a weapon or a tool to advance humanity. This forum focused on the risks as a balance to the opportunities of AI. The discussion included many of Constellation's twelve major risks of AI (in order of most likely to least likely):</p>
<ol><li>I<strong>naccurate hallucinations. </strong>By definition, generative AI will hallucinate due to limited data and training. These risks require better training models, more training cycles, and dedication to address false positives and false negatives before these systems are put into the wild.</li>
<li><strong>Machine scale security attacks. </strong>Security attacks using offense tools by AI will include vulnerability scanning, vishing, biometric authentication by pass, malware generation, and polymorphic malware. </li>
<li><strong>Exponential algorithmic biases.</strong><span class="ILfuVd" lang="en" xml:lang="en" xml:lang="en"><span class="hgKElc"> Even with large data sets, AI systems can make decisions that are systematically unfair to certain cohorts, groups of people, or scenarios. Some examples include reporting, selection, implicit, and group attribution bias.</span></span></li>
<li><strong>Survivorship biases</strong>. History is written by the victors. While survivorship bias is one algorithmic bias, this risk warrants it's own listing. The winners and their promoted narratives will create a bias in the details of a success or failure. Decisions that are based on incomplete or inaccurate information create risks in model formation.</li>
<li><strong>Shifting of human jobs to machine based jobs. </strong>Expect massive displacement in jobs as organizations determine when they will chose intelligent automation, augmentation of machines with humans, augmentation of humans with machines, or the human touch. Organizations must determine when they want to involve a human and when stakeholders will pay for human judgment and interaction.</li>
<li><strong>Privacy and copyright liability. </strong>Many models have been trained on publicly available information. However, training on private datasets without permission will create major risks in liability.</li>
<li><strong>Reality distortion. </strong>AI will create misinformation and disinformation overload. The generation of exponential amounts of misinformation and disinformation continues the onslaught of a warped presence. This distortion field will hinder human judgment and obfuscate reality.</li>
<li><strong>Disruption of governments. </strong>With the persistence of deep fakes, lack of lineage of content, poor verification means, and few tools to combat disinformation, some futurists and security experts expect the next revolution to be instigated by AI tools.</li>
<li><strong>AI divides. </strong> From social inequities to uneven power dynamics, AI can create a scenario where only those with access to large data troves, massive network interactions, low cost compute power, and infinite energy will win. This pits large companies against small companies and governments versus individuals with no recourse.</li>
<li><strong>Loss of human innovation and creativity. </strong>An over reliance on AI will result in a dependence to mitigate risks at the expense of innovation and disruption. Society will choose stability and reliability and lose innate human curiosity and appetite for risk.</li>
<li><strong>Extinction risks. </strong>AI has the capability to create a mass human extinction risk and society should be cognizant and proactive in mitigation measures. Recently, the Center for AI Safety put out a <a href="https://www.safe.ai/statement-on-ai-risk">statement</a> signed by over 350 AI experts, influencers, policymakers, and the public states that "Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war". </li>
<li><strong>AI overlords and authoritarianism. </strong>While the likelihood that a General AI could take over the world or society today, the rapid digitization of the physical world increases the possibility of an AI war. Large organizations with access to the insights of AI and the means to indirectly and directly influence behaviors will have to be combated by systems that protect individual freedoms and liberties by design.</li>
</ol><article class="media media--type-image media--view-mode-default" data-align="center"><picture><source srcset="/sites/default/files/styles/wide/public/2023-09/%40rwang0%2012%20potential%20risks%20of%20AI%20png.webp?itok=THYFXxi0 1x" media="(min-width: 0px)" type="image/webp"></source><source srcset="/sites/default/files/styles/wide/public/2023-09/%40rwang0%2012%20potential%20risks%20of%20AI%20png.png?itok=THYFXxi0 1x" media="(min-width: 0px)" type="image/png"></source><img src="/sites/default/files/styles/wide/public/2023-09/%40rwang0%2012%20potential%20risks%20of%20AI%20png.png?itok=THYFXxi0" alt="12 potential risks of AI" typeof="foaf:Image" class="w-100 h-auto" /></picture></article><h1>The Race For Generative AI Dominance May Create A Dark Ages Of Public Information</h1>
<p>The Internet brought a renaissance of information to the masses. However, AI will create a dark ages of public information. One can speculate that competitors and governments will limit publicly available data for training by rivals in order to "protect" their intellectual property, competitive advantage, or national security. Publicly available information might be limited to ads, promotional marketing, or only the information that someone wants to reveal. Other than government mandated information and disclosures, expect most data to remain in closed silos.</p>
<p>Thus, access to human knowledge will be limited to private networks where the individual's data is the product or the data is being used to incriminate the individual in their governments. This could lead to the dark ages of publicly available information unless policy makers agree on how to bring human knowledge back to the public.</p>
<h1>The Bottom Line: Policy Makers Must Consider What Rights Humanity Has In The Post AI World Before Its Too Late</h1>
<p>Policymakers have a limited window in the next 18 to 24 months to convene a wide range of futurists, experts, academics, legal scholars, anthropologists, and other disciplines to consider policies that will define, advance, and preserve humanity in an age of AI. For the United States of America, one gathering could convene a convention to discuss how to enhance the Constitution and Bill of Rights in an age of AI. Another global agreement could be reached as to how knowledge is returned back to humanity and society. Similar to intellectual property law with patents, trademarks, and copyright, we may see the insights in LLM's be turned over to the public based on criticality. Some insights may have 30 second protection, others 30 years.</p>
<h1>Your POV</h1>
<p>How will we create an even playing field for capitalism to survive in an age of AI? What risks do you see with AI? What rights should humanity put in place in advance of AI?</p>
<p>Add your comments to the blog or reach me via email: <a href="mailto:[email protected]">R (at) ConstellationR (dot) com</a> or<a href="mailto:[email protected]"> R (at) SoftwareInsider (dot) org.</a> Please let us know if you need help with your strategy efforts. Here’s how we can assist:</p>
<ul><li>Developing your AI, digital business, and experience strategy</li>
<li>Connecting with other pioneers</li>
<li>Sharing best practices</li>
<li>Vendor selection</li>
<li>Implementation partner selection</li>
<li>Providing contract negotiations and software licensing support</li>
<li>Demystifying software licensing</li>
</ul><p>Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact <strong><a href="mailto:[email protected]">Sales</a></strong>.</p>
<h1><strong>Disclosures</strong></h1>
<p>Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy,stay tuned for the full client list on the <a href="http://www.constellationrg.com/clients">Constellation Research website</a>. * Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.</p>
<p>Constellation Research recommends that readers consult a stock professional for their investment guidance. Investors should understand the potential conflicts of interest analysts might face. Constellation does not underwrite or own the securities of the companies the analysts cover. Analysts themselves sometimes own stocks in the companies they cover—either directly or indirectly, such as through employee stock-purchase pools in which they and their colleagues participate. As a general matter, investors should not rely solely on an analyst’s recommendation when deciding whether to buy, hold, or sell a stock. Instead, they should also do their own research—such as reading the prospectus for new companies or for public companies, the quarterly and annual reports filed with the SEC—to confirm whether a particular investment is appropriate for them in light of their individual financial circumstances.</p>
<p>Copyright © 2001 – 2023 R Wang and Insider Associates, LLC All rights reserved.</p>
<p>Contact the <strong><a href="mailto:[email protected]">Sales</a> </strong>team to purchase this report on a a la carte basis or join the Constellation Executive Network</p>
</div>
Sat, 26 Aug 2023 17:33:37 +0000
rwang0
22718 at https://www.raywang.org
@rwang0
R 'Ray' Wang
Ray Wang
#AI
Risks
artificial intelligence
Generative AI
ChatGPT
Reinvent Futures
@reinventnet
Peter Leyden
@peteleyden
Joe Boggio
@boggiojoe
Jerry Kaplan
@jerry_kaplan
Eli Chen
@elichen
Eric Shaotran
@eshaotran
Fiona Ma
@fionama
De Kai
@dekai123
Daniel Erasmus
@danielerasmus
Gary A Bolles
@gbolles
Dazza Greenwood
@dazzageenwod
Brian Behlendorf
@brianbehlendorf
CC Gong
@ccgong
White and Case
@whitecase
Earl Comstock
Shack15
Cerebal Valley