In this latest High Signal episode, we sit down with Barr Moses, CEO of Monte Carlo, to discuss the critical gap between AI ambition and data readiness. Barr highlights real-world examples, including a $100M schema error, underscoring the importance of robust data infrastructure.

Key insight:

• The majority of data leaders feel the push toward AI, but only a fraction believe their data is prepared

• Data observability isn't just a technical necessity—it's foundational for trust in AI system

• Achieving AI readiness requires a cultural shift, not just a new tool

Tune in to understand why data quality is the bedrock of successful AI implementation.

ZOOM’s BIG LAUNCH

Zoom launched its Custom AI Companion this morning — and what makes this announcement truly game-changing is its integration with Glean.

This is a big deal. 

We’ve all felt the friction of modern work: endless searching, context-switching, and scattered information across too many systems. It slows teams down, stalls deals, and drags meetings on longer than they need to be.

With this integration, Glean brings its intelligent enterprise search and knowledge access directly into Zoom's Custom AI Companion  — from Zoom Meetings and Team Chat to Docs and beyond.

That means real-time answers from over 100 enterprise data sources — think project management tools, cloud storage, email accounts, intranet platforms, and customer databases — all available in the flow of conversation.

No switching tabs. No pinging colleagues. No delays.

This collaboration between Zoom and Glean is more than just a feature drop — it’s a shift in how AI can drive efficiency, clarity, and alignment across teams.

Whether you’re closing a deal, resolving a support issue, or prepping for a 1:1, the information you need is now just a question away.

The future of work isn’t more meetings. It’s better meetings — and this changes the game.

Is this the moment AI becomes truly embedded in how we work every day? 

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Best,

Ravit Jain

Founder & Host of The Ravit Show