AI from the Front Lines

Srini Namineni, Cisco’s first chief automation officer, focuses on accelerating enterprise AI adoption — “a once-in-a-generation shift” — by addressing scaling constraints and recommending practical steps for helping the workforce adapt.

Salesforce Agentic AI Leader, Madhav Thattai, discusses how enterprises are leading through rapid change, escaping proof-of-concept purgatory, and why tying AI initiatives to a single outcome matters more than chasing the latest breakthrough.

Silicon Valley stalwart and tech executive Caroline Tsay has a clear message for leaders and boards on AI: Get educated and start preparing now. Technology is advancing quickly, and organizations need the right talent, infrastructure, and governance in place.

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.