In the Media

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.

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.

Denodo has published research by Veqtor8 on the financial impact of its AI data layer for enterprise agentic AI. The study found a 290% return on investment over three years.

Denodo, the AI data layer company, announced the findings of a comprehensive independent study conducted by research firm Veqtor8. The research report, titled “The ROI of an AI Data Layer for Agentic AI,” reveals that enterprise deployment of a governed AI Data Layer delivers a 290% return on investment (ROI) over three years, enables 3x faster agent deployment velocity, and achieves a 68% reduction in AI operating costs.

Denodo announced findings from a comprehensive independent study by research firm Veqtor8. The research report, titled “The ROI of an AI Data Layer for Agentic AI,” reveals that enterprise deployment of a governed AI Data Layer delivers a 290% return on investment (ROI) over three years, enables 3x faster agent deployment velocity, and achieves a 68% reduction in AI operating costs.

Denodo has announced findings from an independent study by research firm Veqtor8, which reports that deploying a governed AI data layer can deliver a 290% return on investment (ROI) over three years, accelerate AI agent deployment threefold and reduce AI operating costs by 68%.

As the global race for artificial intelligence (AI) accelerates, a new form of geopolitical and economic competition is emerging; AI sovereignty. AI sovereignty is broader than data residency alone. It encompasses control over the infrastructure, governance frameworks, compute power, and data ecosystems that underpin AI innovation.

Michael Evans, VP and GM for ANZ and India at Denodo, argues that access to accurate information is only part of the challenge: AI systems also need the business context to make reliable decisions. 

Members of Forbes Business Council share informal practices that may become less effective as companies grow and explain what leaders can put in place instead.