Zeta Global on Why AI Agents Need Context Before Autonomy
Tech Talks Daily

Zeta Global on Why AI Agents Need Context Before Autonomy

B2Upper-intermediateSeptember 23, 202627 min
  • Interview
  • Technology

What happens when enterprises spend trillions of dollars on AI but the systems underneath it still cannot provide the context those models need to make reliable decisions? In this episode of Tech Talks Daily, I reconnect with Christian Monberg, CTO at Zeta Global, to examine what separates AI experimentation from production systems that organizations can actually trust. Our previous conversation focused on how businesses could use AI to scale marketing without losing the human connection with customers. This time, we move deeper into the technology underneath those experiences. Christian explains why disconnected tools...

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something because it's carrying the ubiquitous AI label.

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to operate as a connected system. Explore how context graphs can create a readable

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0:23

Can a company consume enormous amounts of AI and remain no better equipped to improve their business? Well, in today's episode, I'm going to welcome back to the show Chris Monberg, CTO and Head of Product at Zeta Global.

0:45

He's officially friend of the show, spoken to him a few times now over the years. though Chris will compare the current appetite for disconnected AI tools with eating without becoming nourished. Incredibly useful warning for leaders under pressure by just buying something because it's carrying the ubiquitous AI label.

1:06

So today we're going to discuss why data, identity, context and business goals all need to operate as a connected system. Explore how context graphs can create a readable history of recommendations and outcomes, and why AI agents should never grade their own homework. And Chris will also explain why familiar productivity measures can create

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