Cobus Greyling: why intents, graphs and conversation design have come full circle
Cobus Greyling on where enterprise AI is really heading: data, security, forward-deployed engineers and conversation design.
What’s really breaking your AI agents?
Discover where conversational AI projects actually break: contradictory source data, manual process and weak testing.
Inside the platform enterprises use to build AI agents with Rasmus Hauch, CTO at Boost.ai
Rasmus Hauch, CTO of Boost.ai, opens up the platform layer beneath enterprise AI agents: testing, guardrails, liability and voice at scale.
How ING is building the instant mortgage with agentic AI
Bahadir Yilmaz, Chief Analytics Officer at ING, on using agentic AI to cut mortgage processing time, and the path to the instant mortgage.
The trust layer banks need for an agentic future with Mathias Fanschek, Raiffeisen Bank International
We discuss why banks need a trust layer for AI agents, and what headless banking means for the future of finance.
Your AI agent is already live. But is it working?
Most enterprise AI assistants are already live. Most have never been properly tested. Watch this VUX Consulting webinar on how to test your conversational AI before it fails in production.
Most AI projects fail. Here’s how to pick the ones that don’t with Thomas Schaefer, Uniphore
Explore how Uniphore is evolving from conversational AI into a horizontal enterprise AI platform. In this episode, we discuss agentic AI, use case selection, human-in-the-loop systems, data readiness and the future of autonomous business workflows.
Building enterprise AI agents in hours with Merlin Bise, CTO at Inbenta
Enterprise AI tools can spin up a prototype in an hour. Getting that prototype to production with the accuracy, security, and scale still takes months for most companies.
Testing for trust in the age of AI agents with Amitha Pulijala and Christoph Börner, Cyara
Discover how leading teams are testing AI agents in a world of non-deterministic systems, covering trust, cost and scale.
AI agents with salaries: Inside the “Cloud Employee” model with Gabe Larsen, Atonom
What happens when AI stops being treated like a tool and starts being hired like an employee?