Chris Bedi shares lessons learned from digital transformation, including winning buy-in from executives and employees, redesigning processes and workflows, and the two dimensions of AI ROI measurement.

Sridhar Ramaswamy discusses starting with clear, measurable business outcomes, navigating complexity by narrowing the lens on value, and building trust through testing, governance, and simple, straightforward user experiences.

Thierry Martin talks about his vision for transformation, the importance of expanding employee access to tools, the automotive AI breakthroughs that excite him the most, and what he’d change if he could go back in time.

Fidelma Russo reveals how HPE is managing AI transformation by creating a cross-functional oversight board, paying close to how company data is being used, and evaluating AI technologies through a two-part lens of opportunity.

Shutterstock CTO Sejal Amin reflects on the creative industry in the age of AI, the shift from AI automation and efficiency to personalization and content generation, and how AI can be used to protect creators and users.

Justin Lo explains how he structures teams and prioritizes projects as Chevron pursues scale across the value chain. He also highlights the biggest opportunities in the energy industry and points out key challenges leaders should be aware of.

CIO Yael Cosset discusses Kroger’s 20-year data transformation, a cultural and technical evolution that has changed the supermarket retailer’s business model, opened opportunities for AI, and driven growth for both Kroger and its suppliers.

Guided by the ethos of “automation for good,” Daniel Dines and Robert Enslin offer a glimpse into a future where AI empowers and elevates people instead of replacing them—and how companies can solve the challenge of scale to get there.

At Elevance Health, AI is co-evolving alongside the concept of whole-person health, and both revolve around a robust record of longitudinal patient data. Chief Data & Insights Officer Ashok Chennuru explains the role of trust in scaling AI.

Chief Analytics Officer Sol Rashidi sheds light on The Estée Lauder Companies’ approach to using AI for personalization at scale and shares what she’s learned about bridging the gap between technical and business leaders.

SAP envisions every company as an AI company. Dr. Feiyu Xu, SAP’s first global head of AI, unpacks that concept, detailing how companies are already embedding AI into business processes and debunking common AI myths.

In Joy Bonaguro’s user-centric approach to data science, technical workers act as cultural change agents, wielding the power of analogy to engage people, build trust, and drive meaningful, sustainable outcomes for millions of residents.

Chief Data Officer Ram Iyer elaborates on the FDA’s three-pillar Data Modernization Action Plan (DMAP), which focuses on value-driving projects, improving data practices, and talent acquisition, with AI embedded across the board.

Eileen Vidrine discusses building an AI-ready Air Force and developing a data ethics framework under the Federal Data Strategy Action Plan. She also reveals why young members are mission critical to the organization’s AI-enabled future.

Caroline Schmitt, head of enterprise digital in Global IT, acknowledges that preparing for AI requires systematic transformation. She talks about what it takes to create that type of change at one of the world’s top biopharma companies.

Chief Data Officer Bob Darin outlines the prerogative to build agility, analytics, and data literacy into the fabric of the enterprise to transform the CVS retail footprint into a broader set of services that provide one-stop health care.