How NTT DATA AIVista closes the last mile of agentic AI for enterprise agents
Presented by NTT DATA AIVista At VB Transform 2026 , NTT DATA AIVista CEO Bratin Saha joined VentureBeat CEO and editor-in-chief Matt Marshall to discuss the last-mile challenge of operationalizing frontier models in regulated production, where reliability, context, guardrails, and security determine whether AI delivers enterprise value. The conversation centered around the question facing every…
At VB Transform 2026, NTT DATA AIVista CEO Bratin Saha spoke with VentureBeat CEO Matt Marshall about the challenges of operationalizing frontier AI models in regulated enterprises. The last mile of AI implementation lies in wrapping models in an enterprise's unique data, workflows, and guardrails. Regulatory compliance, integration, domain specialization gaps, and unclear ownership often lead to AI project failures.
Frontier models struggle with complex workflows like insurance claims, but specialization can boost their reliability. The key is to specialize the entire AI system, not just the foundation model, by incorporating proprietary data, workflows, and domain knowledge. This includes capturing enterprise context, adding specialized guardrails, and leveraging both open-source and frontier models.
NTT DATA's expertise, gained from working with domain experts, is crucial for successful AI integration. Enterprises should prioritize workflow enhancement over model development, as the real value lies in the improved processes rather than the technology itself.
Written by urgent.news from VentureBeat's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
