In the Media

Imagine an AI agent tasked with preparing a customer account summary. To complete the job, it requests information from several business systems, including customer records, financial data and internal correspondence. Some of that information may be relevant. Some may be sensitive or entirely unnecessary. But if the AI decides it needs the information, who determines whether it should actually receive it?

In this episode of the Government Technology Insider podcast, Lucas Hunsicker spoke with Kevin Bohan, Director of Product Marketing at Denodo about why shared understanding of data, not just access to it, is the missing piece for trusted AI.

Over the past few years, data sovereignty has become one of the most discussed topics in the digital economy. Governments are introducing stricter regulations, enterprises are reconsidering their cloud strategies, and CIOs are increasingly asked to guarantee that data generated within a country remains compliant with local legal frameworks such as the General Data Protection Regulation (GDPR).

​For years, the semantic layer was the behind-the-scenes part of the data stack. It sat beneath dashboards, making sure “revenue” meant the same thing in finance as in sales. When it was missing, a human analyst usually noticed and filled the gap. Agentic AI has removed that safety net. Standards such as the Model Context Protocol (MCP) have made it remarkably easy to connect AI agents to enterprise data systems.

Pulse 2.0 interviewed Denodo SVP and CMO Ravi Shankar to learn more about the company’s technology, its approach to enterprise data management, and its vision for the future of agentic AI.

In this PodChats for FutureCIO, Richard Jones, VP and GM for APJ, Denodo, discusses why accountability -remains in place even when we delegate actions to robots.

U.S. enterprises are moving quickly beyond generative AI experimentation toward systems capable of doing something fundamentally different: acting. AI agents can plan tasks, invoke tools, interact with applications and increasingly make decisions with limited human supervision. The potential gains in productivity and automation are enormous.

Kevin Bohan, Director of Product Marketing at Denodo, joined the Government Technology Insider podcast to unpack why governed access is essential as AI adoption grows.

A capable AI model is only part of the answer. To be useful in day-to-day operations, AI needs reliable information and a clear, responsible way to act on it. That can be difficult when important data is spread across many systems and decisions need to involve business rules, employees, or approvals. The partnership between Camunda and Denodo brings these needs together.

Ravi Shankar, Senior Vice President and Chief Marketing Officer, Denodo, explains why, as AI agents take on bigger roles across the Gulf, trust will depend less on the models and more on the quality and governance of the data behind them.