In the Media

In this second installment of a three-part conversation, Andrew Foster, Chief Data Officer at M&T Bank, continues his discussion with Parker Thompson, Regional Vice President and General Manager, East at Denodo, shifting the focus from strategy design to execution realities. While part 1 explored M&T’s data strategy, the rollout of AI tools to 17,000 employees, and the governance foundations required to protect customer trust, Part 2 goes deeper into how those ideas are operationalized across the organization.

Data lakehouses promised a unified, scalable future for analytics and artificial intelligence (AI). But for many organizations, that promise is breaking down. Slow queries, siloed systems, and rising cloud costs are turning potential into pain. Why? Because storage alone isn’t an effective strategy.

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.

Data management company Denodo announced that Gartner® has positioned the company as a Leader for the sixth consecutive year in its 2025 Magic Quadrant for Data Integration Tools.

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.

Per molti istituti finanziari, offrire servizi di online banking è stato a lungo considerato un traguardo. Oggi, però, non basta più e competere con operatori nativi digitali richiede basi molto più solide, a partire da un’infrastruttura capace di fornire dati affidabili, integrati e disponibili in tempo reale. Solo così una banca può davvero guardare avanti.

Data management company Denodo has been named a Databricks Validated Partner, marking another step in the companies' collaboration to help enterprises accelerate AI and analytics with quality data.

For financial institutions, AI has moved from being an experimental technology to an operational necessity, driven by the need for real-time decision-making, automation and cost efficiency pressures. A recent 2025 MIT Technology Review Survey found that around 70% of banking institutions are using agentic AI to some degree, with 56% of executives using it for fraud detection and 51% for security.

Artificial intelligence deployments will shift from experimental pilots to tightly governed, outcome-focused systems in 2026, according to Denodo executive Errol Rodericks, who expects "Outcome-First AI" to dominate corporate strategies.

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.