KPMG Finds Sophisticated AI Use Is Still Rare - Newsweek
KPMG Finds Sophisticated AI Use Is Still Rare - Newsweek
摘要: By
Adam Mills
AI Editor
Newsweek is a Trust Project member
See more of our trusted coverage when you search.
Prefer Newsweek on Google
正文
Adam Mills
AI Editor
Newsweek is a Trust Project member
See more of our trusted coverage when you search.
Prefer Newsweek on Google
to see more of our trusted coverage when you search.
Newsweek
Editor's note: This is AI Impact, Newsweek's weekly newsletter where each week, we will explore how business leaders are unlocking real value through artificial intelligence.
Read More
Tap or click here to get this newsletter delivered to your inbox.
Good morning and thanks for joining me.
In the weeks ahead, several
Newsweek
webinars will take on a question I keep hearing from folks in different forms: What has to change inside an organization once AI moves beyond experimentation?
On September 17, Dr. Ranjit Tinaikar will sit down with Genpact President and CEO Balkrishan “BK” Kalra for “
The Inflection Point: How Agentic Operations Compound Enterprise Value
.” Kalra’s argument is that companies will increasingly move from work that is processed and validated by people toward work that is processed by machines and validated by people. They’ll explore what that means for operating models, jobs, controls and the economics of how work gets delivered.
Then, on October 21, Gabriel Snyder,
Newsweek’s
executive editor, enterprise, will moderate “
Overcoming Barriers to AI Transformation in Legacy Industries
,” presented by Cognizant. Matt Sanchez, chief operating officer at Yahoo, will join a panel examining how established businesses connect AI to existing systems and workflows, manage governance and risk and turn promising pilots into measurable results.
We also have a session outside the enterprise series that I think many of you will find interesting. On September 3, my colleague Alexis Kayser, Newsweek’s health care editor, will moderate “
What Makes a Smart Hospital?
” with leaders from Statista, NYU Langone Health, Samsung Medical Center and Sheba Medical Center. They’ll look at what separates individual technology deployments fr