Do AI Analysts actually work in the enterprise?

Do AI-powered analytics actually work in the enterprise? It's the question every data leader, CTO, and product team is asking — and the answer is more nuanced than the vendors would have you believe.

VentureBeat brings together two founders with firsthand experience at the intersection of AI and scale: the co-founder of PromptQL, who is pioneering a new approach to reliable, natural-language data querying, and the co-founder of Swiggy, one of the world's largest food delivery platforms, who has seen enterprise data challenges up close.

Together, they explore the promise and the pitfalls of AI-powered analytics – from data quality and governance to user adoption and real business impact.

📌 What you'll learn:
• What makes AI analytics deployments succeed or fail in enterprise environments
• The real bottlenecks: it's not always the technology
• How to evaluate AI analytics vendors beyond the demo
• The future of the data stack in an AI-first world

Whether you're a data practitioner, an enterprise buyer, or just trying to separate signal from noise — this conversation is for you.