In the Media

The AI Trust Gap Report by Denodo, based on a survey of 850 enterprise leaders, finds that while AI is rapidly evolving into “agentic” systems capable of autonomous decision-making, organisations are falling short in three critical areas: access to live data, identifying the right data, and implementing governance guardrails.

As powerful as it is proving to be, AI is a bit of a “black box.” Often, its inner processing is opaque to even its own developers. This is unacceptable, from an AI ethics standpoint. If we want AI that is free of bias and the ability to act in harmful ways, then we need to be able to see inside that black box. Beyond that, we need to create active guardrails that effectively prevent unwanted AI activity. This is even more important now that AI is outgrowing its chatbot capabilities to become fully agentic and autonomous.

Artificial intelligence (AI) is evolving from chatbots into fully autonomous systems capable of reasoning, using tools, and executing multistep workflows. These new AI agents don't just summarize policies and other rote tasks (as powerful as these abilities can be); they can also perform such complex tasks as initiating claims adjustments, negotiating subrogation settlements, or updating risk profiles in real time.

Denodo, a leader in data management, today released the results of The AI Trust Gap Report, a comprehensive global study revealing that the next frontier of artificial intelligence – Agentic AI – is facing a critical trust crisis.

Saudi Arabia is entering a new phase of artificial intelligence adoption, moving beyond pilot projects into systems that can take real operational decisions. This shift toward more autonomous AI is already underway, particularly in sectors tied to the Kingdom’s Vision 2030 ambitions, including smart cities, infrastructure and public services.

Denodo, a leader in data management, today released the results of The AI Trust Gap Report, a comprehensive global study revealing that the next frontier of artificial intelligence – Agentic AI – is facing a critical trust crisis.

Denodo has unveiled findings from its latest global research, The AI Trust Gap Report, revealing a significant challenge confronting enterprises as they transition toward agentic AI. Based on insights from 850 executives worldwide, the study finds that while organizations are eager to embrace AI systems capable of autonomous decision-making, a lack of trust in underlying data is slowing adoption.

Denodo has published research identifying a trust gap in the adoption of agentic AI. The study surveyed 850 executives worldwide. The findings suggest organisations are running into data problems as AI systems move beyond generating responses and begin taking actions tied to business processes.

Denodo, a leader in data management, today released the results of The AI Trust Gap Report, a comprehensive global study revealing that the next frontier of artificial intelligence – Agentic AI – is facing a critical trust crisis.

Denodo con Snowflake e altri operatori del settore vuole promuovere l’interoperabilità dei dati e dell’AI attraverso framework e applicazioni di Open Semantic Interchange. Si tratta di un’iniziativa open source che offre una specifica universale per consentire a tutte le aziende di standardizzare la definizione dei dati grazie a un modello semantico aperto e indipendente.