3559: Conviva CEO on Turning Experimental AI Agents Into Reliable Systems

3559: Conviva CEO on Turning Experimental AI Agents Into Reliable Systems

In this episode of Tech Talks Daily, I sat down with Keith Zubchevich, CEO of Conviva, to unpack one of the most honest analogies I have heard about today's AI rollout.

Keith compares modern AI agents to toddlers being sent out to get a job, full of promise, curious, and energetic, yet still lacking the judgment and context required to operate safely in the real world. It is a simple metaphor, but it captures a tension many leaders are feeling as generative AI matures in theory while so many deployments stumble in practice.

As ChatGPT approaches its third birthday, the narrative suggests that GenAI has grown up. Yet Keith argues that this sense of maturity is misleading, especially inside enterprises chasing measurable returns. He explains why so many pilots stall or quietly disappoint, not because the models lack intelligence, but because organizations often release agents without clear outcomes, real-time oversight, or an understanding of how customers actually experience those interactions.

The result is AI that appears to function well internally while quietly frustrating users or failing to complete the job it was meant to do.

We also dig into the now infamous Chevrolet chatbot incident that sold a $76,000 vehicle for one dollar, using it as a lens to examine what happens when agents are left without boundaries or supervision.

Keith makes a strong case that the next chapter of enterprise AI will not be defined by ever-larger models, but by visibility. He shares why observing behavior, patterns, sentiment, and efficiency in real time matters more than chasing raw accuracy, especially once AI moves from internal workflows into customer-facing roles.

This conversation will resonate with anyone under pressure to scale AI quickly while worrying about brand risk, accountability, and trust. Keith offers a grounded view of what effective AI "parenting" looks like inside modern organizations, and why measuring the customer experience remains the most reliable signal of whether an AI system is actually growing up or simply creating new problems at speed.

As leaders rush to put agents into production, are we truly ready to guide them, or are we sending toddlers into the workforce and hoping for the best?

Useful Links

Thanks to our sponsors, Alcor, for supporting the show.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(2000)

What Clarecast Data Reveals About AI and Quiet Restructuring

What Clarecast Data Reveals About AI and Quiet Restructuring

Is AI really causing widespread job losses, or are a small number of announcements creating a much larger narrative? In this episode of Tech Talks Daily, I speak with Marvin Pohl, chief data scientist...

9 Elo 33min

Creating a Coordination Layer for AI Agents With Blue Language Labs

Creating a Coordination Layer for AI Agents With Blue Language Labs

What happens when an AI agent is authorized to make a payment, but nobody can verify the wider agreement behind it? In this episode of Tech Talks Daily, I speak with Zor Gorelov of Blue Language Labs ...

8 Elo 27min

Scaling Embedded Finance Around Customer Value With Zip Co

Scaling Embedded Finance Around Customer Value With Zip Co

What separates an embedded finance partnership that changes customer behavior from an integration nobody would miss? In this episode of Tech Talks Daily, I speak with Rory Herriman, Chief Technology O...

7 Elo 24min

Building Creator Trust Through Better Payments With Tipalti

Building Creator Trust Through Better Payments With Tipalti

What happens to creator loyalty when somebody delivers the work, attracts an audience, and then waits weeks to be paid? In this episode of Tech Talks Daily, I speak with Rob Israch, President at Tipal...

6 Elo 26min

Building Reliable AI Agents With Knowledge Gardens and MongoDB

Building Reliable AI Agents With Knowledge Gardens and MongoDB

What happens when an enterprise AI agent can retrieve thousands of data points but cannot understand the customer, decision, or business moment in front of it? In this episode of Tech Talks Daily, I w...

5 Elo 33min

Turning Warehouse Blind Spots Into Real Time Intelligence With Dexory

Turning Warehouse Blind Spots Into Real Time Intelligence With Dexory

What happens when a warehouse management system believes stock is present, but nobody can find it on the warehouse floor? In this episode of Tech Talks Daily, I speak with Oana Jinga, co-founder of De...

4 Elo 28min

How Infobip Uses AI Companions to Keep Sports Fans Coming Back

How Infobip Uses AI Companions to Keep Sports Fans Coming Back

What can Formula One and football teach businesses about building customer relationships that continue long after a single event? In this episode of Tech Talks Daily, I speak with Ben Lewis, Vice Pres...

3 Elo 26min

How Technology Can End the Late Payment Crisis Costing UK Businesses £11 Billion

How Technology Can End the Late Payment Crisis Costing UK Businesses £11 Billion

Late payments have become so common that many businesses simply accept them as part of commercial life. But should they? In this episode of Tech Talks Daily, I speak with Pat Bermingham, founder and C...

2 Elo 22min

Suosittua kategoriassa Politiikka ja uutiset

uutiscast
aikalisa
politiikan-puskaradio
ootsa-kuullut-tasta-2
rss-ootsa-kuullut-tasta
otetaan-yhdet
rss-seksicast
rss-podme-livebox
aihe
tervo-halme
linda-maria
rss-girls-finish-f1rst
rss-kaikki-uusiksi
eevan-politiikkapodi-totuuksia-suomesta
the-ulkopolitist
rikosmyytit
rss-vaalirankkurit-podcast
politbyroo
rss-asiastudio
rss-suoraan-asiaan