Uploaded May 2026 | Updated September 2026, 2 weeks ago
AI has officially moved beyond experiments and into real-world production — making decisions, taking actions, and reshaping how businesses operate.
But there’s a problem.
Even as adoption accelerates, most organizations still haven’t fixed the one thing AI depends on: their data.
In this episode of Today in Tech, Keith Shaw speaks with Gaurav Pathak, Senior Vice President of Product Management for Metadata and AI at Salesforce, about the growing “trust paradox” — where employees increasingly trust AI outputs, while leaders know their data foundations aren’t ready.
They break down:
* Why AI adoption jumped from 48% to 69% in just one year
* How agentic AI is spreading faster than any enterprise tech before it
* Why data quality is still the #1 blocker to real AI deployment
* The risks of “shadow AI” inside organizations
* What leaders must fix now before AI mistakes hit customers and revenue
As AI systems become more persuasive — and more autonomous — the cost of bad data is no longer theoretical.
#todayintech #data #datamanagement #artificialintelligence #agenticai
Follow TECH(talk) for the latest tech news and discussion!
----------------------------------
Keith Shaw
linkedin.com/in/shawkeith
SUBSCRIBE: youtube.com/@CWTECHtalk
TIKTOK: tiktok.com/@todayintechpodcast
AI has officially moved beyond experiments and into real-world production — making decisions, taking actions, and reshaping how businesses operate.
But there’s a problem.
Even as adoption accelerates, most organizations still haven’t fixed the one thing AI depends on: their data.
In this episode of Today in Tech, Keith Shaw speaks with Gaurav Pathak, Senior Vice President of Product Management for Metadata and AI at Salesforce, about the growing “trust paradox” — where employees increasingly trust AI outputs, while leaders know their data foundations aren’t ready.
They break down:
* Why AI adoption jumped from 48% to 69% in just one year
* How agentic AI is spreading faster than any enterprise tech before it
* Why data quality is still the #1 blocker to real AI deployment
* The risks of “shadow AI” inside organizations
* What leaders must fix now before AI mistakes hit customers and revenue
As AI systems become more persuasive — and more autonomous — the cost of bad data is no longer theoretical.
#todayintech #data #datamanagement #artificialintelligence #agenticai
Follow TECH(talk) for the latest tech news and discussion!
----------------------------------
Keith Shaw
linkedin.com/in/shawkeith
SUBSCRIBE: youtube.com/@CWTECHtalk
TIKTOK: tiktok.com/@todayintechpodcast
