Andrew Foster, Chief Data Officer at M&T Bank, continues his conversation with Parker Thompson, Regional VP and General Manager, East at Denodo.

Moving beyond strategy, this discussion dives into execution. Foster shares how M&T Bank operationalizes data and AI across a 23,000-employee organization through federated stewardship, disciplined governance, and realistic planning horizons.

Hear insights on:

💠Building credibility through delivery, not promises

💠Why well-governed data is foundational to AI readiness

💠How to pace organizational change without disruption

💠Measuring value and sustaining momentum beyond initial wins

A must-listen for CDOs and senior leaders focused on turning data and AI ambition into measurable results.

Listen to part 1 here: [Link to first article]

Chris Goodale, VP of Enterprise Data and Analytics Enablement at Sun Life, speaks with Denodo’s Jason Sturgess about how the insurer is generating real, measurable GenAI impact.

Key discussion points:

✅The internal AI assistants powering more than 3 million enterprise queries

✅Advisor-focused AI tools that reduce paperwork and enhance client conversations

✅The Plan Sponsor Dashboard as a model for high-value data products

✅How governance, OSFI E-21 readiness, and strong data hygiene support GenAI

✅Why Sun Life’s hybrid architecture enables both scale and local agility

A must-listen for data, analytics, and AI leaders navigating enterprise transformation.

Enterprise AI at scale is no longer just about automation. It is about leadership, culture, multimodal experiences, and intelligent agents.

In the final part of our three-part series, Chandhu Nair, SVP of Data, Artificial Intelligence and Innovation at Lowe’s, joins Rohit Choudhary, CEO of Acceldata, to explore:

✅Why AI is 70% change management

✅How multimodal retail experiences are reshaping customer journeys

✅What agentic AI unlocks for enterprise workflows

✅How Lowe’s approaches build vs buy decisions

This episode concludes a three-part exploration into one of retail’s most advanced enterprise AI transformations.

In the final chapter of the Informatica CDO Awards series, Jim Kruger, Chief Marketing Officer at Informatica, joins Robert Lutton from Sandhill Consultants to unpack what today’s most advanced data leaders are doing differently as AI moves from experimentation into production.

This episode explores:

• Why data quality, privacy assurance, and master data remain non-negotiable
• How GenAI is transforming customer experience, healthcare, and automation
• What award-winning enterprises are achieving with real production AI
• Why platform integration is now central to AI scalability
• How agentic AI will reshape enterprise workflows

Listen now.

In this episode, Part 1 of a three-part series, M&T Bank Chief Data Officer Andrew Foster joins Parker Thompson, Regional VP and General Manager, East at Denodo, to discuss the bank’s data and AI strategy.

Foster outlines how M&T built a grounded, assessment-driven data roadmap, created the control conditions for responsible AI adoption, and deployed Copilot to 17,000 employees while safeguarding customer trust.

You will gain practical insights into governance, talent, value capture, and what AI readiness looks like inside a 165-year-old financial institution.

Listen now.

In this episode, we kick off Part 1 of a three-part conversation with Chris Goodale, Vice President of Enterprise Data & Analytics Enablement at Sun Life.

Chris joins Jason Sturgess of Denodo to explore what it truly takes to build an AI-ready enterprise across a complex, global financial services organization.

They discuss:

✅Why data quality, governance, and security define AI success

✅How Sun Life is enabling GenAI and agentic AI across the enterprise

✅How internal teams are using GenAI for testing, provisioning, and coding productivity

✅What it really takes to build a data-centric culture across regions and business units

This conversation offers a practical blueprint for CDOs, CIOs, and AI leaders navigating enterprise-scale transformation.

🎧 Listen to Part 1 now.

In Part 2 of the Informatica CDO Awards interview series, Jim Kruger, CMO at Informatica, joins Robert Lutton to break down how this year’s award-winning Chief Data Officers are delivering measurable business impact.

This episode covers:

✅How CDO Award winners unified enterprise data governance

✅How literacy programs scaled stewardship and cut discovery time dramatically

✅How AI readiness is being built on trusted, governed data

✅How cost reduction, ESG traceability, and transparency are being delivered together

This is an inside look at what separates recognized CDOs from the rest of the market.

In Part 2 of our three-part series, Chandhu Nair, SVP of Data, AI & Innovation at Lowe’s, reveals how the company modernized its retail backbone, adopted a hybrid cloud-edge AI strategy, and built a Lighthouse model to identify the highest-value AI use cases.

You’ll hear:

✅Why modernization was the foundation

✅How Lowe’s uses cloud, on-prem, and edge GPUs

✅The four-dimensional prioritization model

✅How Lowe’s measures real AI value in a fast-changing environment

In conversation with Rohit Choudhary, CEO, Acceldata.

Listen now.

In this final episode of our Saks Global interview series, Veronika Durgin, Vice President of Data at Saks Global, sits down with Gautam Singh, Head of Analytics, Data & AI at WNS Analytics, to explore one of the most nuanced challenges in enterprise AI today: data democracy versus governance.

This episode unpacks:

🔹Why unrestricted access creates both innovation and risk

🔹How safe experimentation environments enable progress

🔹What governance truly means in the age of internal LLMs

🔹The next transformative shifts coming in AI and healthcare

🔹Why culture, curiosity, and real conversation still matter most

If you are leading AI, analytics, or enterprise data, this conversation will reshape how you think about access, control, and trust.

Listen now.

In this episode, Lior Solomon, VP of Data at Drata, joins Yuki Data CEO Ido Arieli Noga to unpack one of the toughest challenges in enterprise AI: proving value while keeping costs under control.

Solomon shares how Drata structures AI vs. BI budgets, why data teams struggle with ROI attribution, and why Iceberg-backed data lakes are becoming essential to reduce warehouse spend. He also offers a candid take on the future of query engines — balancing flexibility with the need to reduce vendor sprawl.

A must-listen for data leaders shaping AI investment strategy, platform architecture, and long-term cost governance.