In the Media

After two years of AI pilots, enterprises are finally diagnosing what went wrong, and the answer keeps coming back to data. Alberto Pan, CTO of Denodo, joins Craig Smith to walk through the findings of the company's AI Trust Gap Report: a survey of 850 enterprise data leaders that reveals the dominant failure modes of enterprise AI agents are almost never the model's fault. They're caused by stale data, missing context, and inconsistent semantics across the hundreds of data sources agents need to access to do real work.

​Ever since McKinsey’s 2021 report on the importance of personalization, one-to-one marketing has been the proverbial holy grail of marketing organizations everywhere. “Seventy-one percent of consumers expect companies to deliver personalized interactions," the report states. "And seventy-six percent get frustrated when this doesn’t happen."

The most effective CEOs don't simply approve budgets or sign off on messaging. They ensure marketing has the context and influence needed to contribute strategically. Here, members of Forbes Communications Council share the most valuable ways CEOs can support marketing and communications teams—and why their actions can make all the difference.

Executive Editor Tim King discusses why modern data lakehouse architecture requires more than storage and compute to support AI and democratization. This look at architectural layers for enterprise data is brought to you by Denodo.

Data management specialists Denodo has announced integrations with Amazon Web Services to help scale agentic AI across hybrid and multicloud environments.

Introduction: Ravi Shankar's unique journey from tech to business; his role in shaping the Master Data Management market; and leading Denodo in data management and AI

Dominic Sartorio is VP of Product Marketing at Denodo. Dominic has over 20 years of experience in the data management and governance market, having held various product and marketing leadership roles at Informatica, Protegrity, among other leading vendors.

I risultati dell'AI Trust Gap Report di Denodo aprono una riflessione con il fondatore e CEO Angel Viña sul paradosso dell'Agentic AI: per muoversi in autonomia, gli algoritmi hanno bisogno di dati in tempo reale, sicuri e accessibili. Ma quasi nessuna azienda è davvero pronta.

Executive Editor Tim King discusses why data products are evolving from reusable datasets into governed interfaces between enterprise data and AI. This look at data products architecture is brought to you by Denodo, a leader in data management solutions that bridge the gap between distributed data and AI-ready insights.

I risultati dell'AI Trust Gap Report di Denodo aprono una riflessione con il fondatore e CEO Angel Viña sul paradosso dell'Agentic AI: per muoversi in autonomia, gli algoritmi hanno bisogno di dati in tempo reale, sicuri e accessibili. Ma quasi nessuna azienda è davvero pronta.