Friday, May 28, 2021

g-f(2)298 The Big Picture of Business Artificial Intelligence, geniouxfacts, 10 relevant AI lessons learned from CIO (5/28/2021) for those traveling at high speed on GKPath!




ULTRA-condensed knowledge


1. Lesson learned, The value of using artificial intelligence
  • Business leaders at every level see the value of using artificial intelligence but using AI well is where the true value lies. According to a Deloitte survey released last summer, 61% of companies expect AI to transform their industry over the next three years.
2. Lesson learned, Decisive factors for getting the most out of AI
  • Companies with effective leaders, a high level of commitment to AI projects, and a clear AI vision and strategy are positioned to benefit the most, according to a McKinsey survey released last November.
3. Lesson learned, Focus on business transformation
  • Today, the story General Electric is more about using AI as part of a transformation of the business itself.
4. Lesson learned, Know the limits of AI
  • If an AI system trained on a specific problem is then applied to a slightly different problem, the results may be suboptimal — or even dangerous.
5. Lesson learned, Listen to stakeholders — and customers
  • For some companies, ensuring AI systems produce useful results requires help beyond the core AI team. 
6. Lesson learned, No more proofs of concept
  • When the technology was brand new, proofs of concept (POCs) made sense. Today, however, there’s less of a need to start your AI journey with experiments, says JJ López Murphy, data and AI technology director at Globant.
7. Lesson learned, Mixed teams
  • “The No. 1 habit of successful companies is using well-mixed teams,” Gartner analyst Whit Andrews says. 
8. Lesson learned, Embrace domain expertise
  • Relying solely on data scientists to surface insights from data is a big mistake, says Halim Abbas, chief AI officer at Cognoa.
9. Lesson learned, Realize the value of real-world testing
  • No battle plan survives contact with the enemy — and no AI system survives contact with the real world. If your company isn’t prepared for this fact, your AI project is doomed before it starts. 
10. Lesson learned, Have a higher purpose
  • As companies compete for scarce AI talent, having meaningful projects can make a big difference. 


Genioux knowledge fact condensed as an image


Condensed knowledge



1. Lesson learned, The value of using artificial intelligence
  • Business leaders at every level see the value of using artificial intelligence but using AI well is where the true value lies. According to a Deloitte survey released last summer, 61% of companies expect AI to transform their industry over the next three years.
2. Lesson learned, Decisive factors for getting the most out of AI
  • Companies with effective leaders, a high level of commitment to AI projects, and a clear AI vision and strategy are positioned to benefit the most, according to a McKinsey survey released last November.
3. Lesson learned, Focus on business transformation
  • Today, the story General Electric is more about using AI as part of a transformation of the business itself.
4. Lesson learned, Know the limits of AI
  • If an AI system trained on a specific problem is then applied to a slightly different problem, the results may be suboptimal — or even dangerous.
5. Lesson learned, Listen to stakeholders — and customers
  • For some companies, ensuring AI systems produce useful results requires help beyond the core AI team. 
6. Lesson learned, No more proofs of concept
  • When the technology was brand new, proofs of concept (POCs) made sense. Today, however, there’s less of a need to start your AI journey with experiments, says JJ López Murphy, data and AI technology director at Globant.
7. Lesson learned, Mixed teams
  • “The No. 1 habit of successful companies is using well-mixed teams,” Gartner analyst Whit Andrews says. 
8. Lesson learned, Embrace domain expertise
  • Relying solely on data scientists to surface insights from data is a big mistake, says Halim Abbas, chief AI officer at Cognoa.
9. Lesson learned, Realize the value of real-world testing
  • No battle plan survives contact with the enemy — and no AI system survives contact with the real world. If your company isn’t prepared for this fact, your AI project is doomed before it starts. 
10. Lesson learned, Have a higher purpose
  • As companies compete for scarce AI talent, having meaningful projects can make a big difference. 

                Category 2: The Big Picture of the Digital Age

                [genioux fact deduced or extracted from geniouxfacts]

                This is a “genioux fact fast solution.”

                Tag Lessons learned to those traveling at high speed on GKPath

                10 relevant AI lessons learned from CIO (5/28/2021)
                • 10 relevant AI lessons learned from CIO (5/28/2021) for those traveling at high speed on GKPath!

                Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).

                Type of validity of the "genioux fact". 

                • Inherited from sources + Supported by the knowledge of one or more experts.


                Authors of the genioux fact

                Fernando Machuca


                References


                ABOUT THE AUTHORS


                Contributing Writer

                Maria Korolov has been covering emerging technology and emerging markets for the past twenty years. She has reported from Russia, India, and Afghanistan, and recently returned to the United States after running a news bureau in China for five years



                Maria Korolov is a science fiction writer who covers cybersecurity, AI and extended reality as an award-winning tech journalist at her day job. Check out her author page on Amazon or follow her on Twitter, Facebook, or LinkedIn. She is also the publisher of MetaStellar, a new online magazine of speculative fiction.



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