A single AI agent conversation can look perfect and still be broken
Conviva co-founder and CTO challanges industry approaches to agent evals live on stage at VB Transform 2026.
Conviva co-founder and CTO challanges industry approaches to agent evals live on stage at VB Transform 2026.
Using agentic AI for deep personalization is on the horizon, says Conviva president and CEO, Keith Zubchevich, in this article on The Independent.
New research from Conviva found that consumer-facing AI agents spend an average of two minutes and 32 seconds gathering basic context before they can address a customer’s actual request.
The future of retail belongs to brands that finally understand both what and how their customers purchase.
Keith Zubchevich has helped build one of the leading platforms for measuring how consumers actually experience digital products, enabling businesses to optimize performance, reduce friction, and improve outcomes at scale.
"The technology available to brands today is truly incredible, so it should be used to create experiences that keep your customers coming back," says Keith Zubchevich, President and CEO, Conviva.
Observability tells you what your AI agent did. It doesn't tell you whether it actually helped. As enterprises race to deploy AI agents, that distinction is becoming impossible to ignore.
For episode 741 of the BlockHash Podcast, host Brandon Zemp is joined by Keith Zubchevich, President and CEO of Conviva.
Keith Zubchevich discusses what it takes to innovate in a rapidly evolving field, and how entrepreneurs are using AI to solve real-world problems.
This retailer is deploying AI agents across 100 million weekly sessions but was blind to the two shopper segments driving $25 million in weekly revenue. Conviva changed that.
New research from Conviva shows that consumer-facing AI agents spend an average of 2 minutes and 32 seconds gathering basic context causing 8.5% of customers to abandon the session entirely.
In the agentic era, Conviva CEO Keith Zubchevich argues the winners won’t be the fastest to deploy but the quickest to spot what breaks