The Enterprise AI Wake-Up Call: What's Driving Executive Skepticism?

In this episode of UC Today, host Kristian McCann sits down with Laura Maffucci, Head of HR at G-P, to explore one of the biggest questions facing enterprise leaders today: is AI delivering on its promises, or are organizations beginning to question the return on their investments?

According to G-P's latest research, a significant number of executives report that AI investments have failed to meet expectations, raising concerns about ROI, productivity gains, and long-term value. But does this signal a problem with AI itself, or with how organizations are approaching it?

Laura shares a candid assessment of the current state of enterprise AI, explaining why many companies are chasing AI initiatives without clearly defining the problems they are trying to solve. 
Key Discussion Points:
AI investment challenges: Why many executives say AI spending is failing to deliver the expected ROI.
The "supervision tax": How AI can create additional work when organizations rely on poorly implemented solutions.
Responsible AI adoption: Why reimagining business processes matters more than simply adding AI tools to existing workflows.
Trust, governance, and data quality: How enterprises can improve AI outcomes by using verified information sources and protecting confidential data.
Next Steps:
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