In the Media

Agentic AI continues to grow, but 2026 will be the year when we see who will benefit from the technology – and who will be held back by their technology debt, predicts Denodo's Nordic Manager Jan Hygsted in the trend calendar's slot #23.

Alexey Sidorov, Data Science Guru and Evangelist at Denodo, explores how well-governed, reusable data products are becoming the backbone of trustworthy AI, why many initiatives stalled due to weak foundations, and how expectations are resetting around value and accountability.

In part one of this series, Sun Life’s VP of Enterprise Data and Analytics Enablement, Chris Goodale, outlined how the company strengthens data foundations, governance, and culture to support generative and agentic AI. In this second installment of his conversation with Jason Sturgess, Regional VP and General Manager at Denodo, Goodale explores Sun Life’s early GenAI wins, customer-facing innovations, and the company’s balanced approach to modern data architecture.

Now that AI has broken out of the research lab and entered the mainstream, companies naturally expect to be able to deploy it in the cloud, where it can scale and enjoy unrestrained adoption. Unfortunately, for every company that has been able to successfully deploy AI in the cloud, there are many many more that fail to do so. In this article, I’ll explore why I think that is, considering AI and cloud as discrete technologies with their own challenges, and then I’ll propose logical data management as a strategy for unlocking this needed agility across both of them.

Denodo has been named a Leader in Gartner's 2025 Magic Quadrant for Data Integration Tools, marking the sixth year in a row that the data management firm has secured the position.

The latest Gartner Magic Quadrant (MQ) for Data Integration Tools report explains how growth in the market is set to decline as data management platforms converge.

C-suite leaders agree: scaling AI to create business value is a top priority. But despite widespread experimentation, a growing “GenAI Divide” is emerging. Research shows that 95% of custom enterprise AI tools never make it to production — not because of the model, but because of brittle data workflows and a lack of contextual learning.

Denodo, a leader in data management, today announced that Gartner® has positioned the Company as a Leader for the sixth consecutive year in its 2025 Magic Quadrant for Data Integration Tools. “Data integration tools remain a fundamental architectural component as organizations increasingly seek improved capabilities to support their operational, analytical and AI use cases,” states Gartner. “This research helps data and analytics leaders make their decisions by analyzing 20 vendors in this market.”

M&T’s Chief Data Officer (CDO) Andrew Foster sits at the intersection of data strategy and AI adoption, overseeing both the enterprise data agenda and the bank’s approach to emerging AI tools. In this first part of a three-part interview with Parker Thompson, Regional VP and General Manager, East at Denodo, Foster outlines the milestones behind M&T’s data strategy, the disciplined path to deploying AI tools to 17,000 employees, and the foundational governance required to protect customer trust while accelerating value creation.

Errol Rodericks, EMEA & LATAM Product & Solutions Marketing Director at Denodo, explores how data resilience and virtualisation can help manufacturers recover from disruptions and strengthen operational agility.