Thursday, June 17, 2021

g-f(2)327 The Big Picture of Business Artificial Intelligence (6/17/2021), CIO, What a successful AI team really looks like




ULTRA-condensed knowledge


Opportunity, Blended teams to succeed with AI, McKinsey & Co
  • Successful AI projects require team members with a broad range of skills including data scientists, data engineers, machine learning engineers, product owners, change management experts, and translators.
Alert, AI success no longer hinges on just a group of data scientists anymore
  • When it comes to AI teams, a broader set of skills are required than previously known, with a particular need for people with experience in operations and in translating AI concepts into business terms and vice versa. In other words, AI success no longer hinges on just a group of data scientists anymore.
Lesson learned, Enterprises need blended teams to succeed with AI, Louise Herring 
  • Successful AI projects require team members with a broad range of skills, says Louise Herring, partner at McKinsey & Co, including data scientists, data engineers, machine learning engineers, product owners, change management experts, and translators.
Lesson learned, The first key area of emphasis is about translators, Herring
  • Translators are people who can make the connection between the business and the technical side.
Lesson learned, Data scientists and data engineers are the unsung heroes, Herring
  • “You have legacy landscapes and it’s not so easy to find the data and extract it — and ensure that the data pipeline is set up and ready to scale.”
Alert, The two biggest barriers to AI adoption, IBM
Alert, Being able to run AI projects wherever the data resides is key, IBM
  • 90% of IT pros say being able to run AI projects wherever the data resides is key to the technology's adoption. 
Alert, Half of the most in-demand AI skills are related to translators, Deloitte
  • According to a survey released by Deloitte last year, half of the most in-demand AI skills are related to connecting AI projects with business needs. These “translators” include business leaders well-versed in AI, change management experts, user experience designers, and subject matter experts.

“genioux fact fast solution" condensed as an image


Condensed knowledge


Opportunity, Blended teams to succeed with AI, McKinsey & Co
  • Successful AI projects require team members with a broad range of skills including data scientists, data engineers, machine learning engineers, product owners, change management experts, and translators.
Alert, AI success no longer hinges on just a group of data scientists anymore
  • When it comes to AI teams, a broader set of skills are required than previously known, with a particular need for people with experience in operations and in translating AI concepts into business terms and vice versa. In other words, AI success no longer hinges on just a group of data scientists anymore.
Lesson learned, Enterprises need blended teams to succeed with AI, Louise Herring 
  • Successful AI projects require team members with a broad range of skills, says Louise Herring, partner at McKinsey & Co, including data scientists, data engineers, machine learning engineers, product owners, change management experts, and translators.
Lesson learned, The first key area of emphasis is about translators, Herring
  • Translators are people who can make the connection between the business and the technical side.
Lesson learned, Data scientists and data engineers are the unsung heroes, Herring
  • “You have legacy landscapes and it’s not so easy to find the data and extract it — and ensure that the data pipeline is set up and ready to scale.”
Alert, The two biggest barriers to AI adoption, IBM
Alert, Being able to run AI projects wherever the data resides is key, IBM
  • 90% of IT pros say being able to run AI projects wherever the data resides is key to the technology's adoption. 
Alert, Half of the most in-demand AI skills are related to translators, Deloitte
  • According to a survey released by Deloitte last year, half of the most in-demand AI skills are related to connecting AI projects with business needs. These “translators” include business leaders well-versed in AI, change management experts, user experience designers, and subject matter experts.

Category 2: The Big Picture of the Digital Age

[genioux fact deduced or extracted from CIO]

This is a “genioux fact fast solution.”

Tag Multiple updates 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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