You can with AI.

In this episode, Nathaniel Whittemore is joined by Danielle Beringer, Principal, Advisory - Data Modernization at KPMG LLP, and Ellery Fisher, Senior Vice President and Chief Information Officer at McKesson Medical-Surgical, to unpack why enterprise AI success depends on more than better data. The conversation explores the shift from treating AI as a data problem to understanding it as a systems challenge - one that requires modernizing legacy infrastructure, connecting real-time and batch systems, prioritizing the right use cases, and building the business-led operating model needed to turn agentic AI from a promising demo into real enterprise value.

NLW is joined by Kristen Swanson, Head of AI Fluency at Anthropic, and Jaime Schmidt, Professor of Accounting and Director of the C. Aubrey Smith Center for Auditing Education and Research at the University of Texas at Austin, to explore what it takes to turn AI from a set of individual experiments into a durable enterprise capability. The conversation looks at the hard parts of that transformation: building real fluency instead of shallow familiarity, helping professionals trust AI without over-trusting it, redesigning education, and training for AI-augmented work, and creating the conditions for people across an organization to actually change how they work.

In this Trendline episode, NLW is joined by KPMG's Swami Chandrasekaran and Rafiq Jalal to unpack why enterprise AI is moving from chat and research assistance into the agentic era. They discuss harnesses, work reinvention, safe experimentation, token budgeting, and what organizations should do now as AI becomes capable of running longer, more complex knowledge work.

In this episode of You can with AI, NLW is joined by Rahsaan Shears, Principal Advisory and aIQ Program Lead at KPMG LLP, and May Habib, CEO and co-founder of WRITER, for a candid conversation about why enterprise AI adoption has not stalled so much as become overloaded. They discuss the gap between what AI can do and what organizations are actually able to change, why AI theater is giving way to harder questions about strategy and execution, how agents are forcing companies to rethink process from the ground up, and what separates AI leaders from laggards in the second half of 2026.

AI agents are moving from experimental tools to digital teammates that can take action, make decisions, and collaborate with people. In this episode of You can with AI, NLW is joined by Edwige Sacco, Head of Workforce Innovation at KPMG LLP, and Surojit Chatterjee, Founder and CEO of Ema, for a conversation about what changes when organizations stop treating AI as software and start treating it as part of the team. They explore trust, cognitive exhaustion, workforce redesign, the risks of overestimating and underestimating agents, and why leaders need to get hands-on now rather than manage AI transformation from a distance.

In this Trendline episode, NLW and KPMG's Steve Chase dig into the resource constraints that are defining the agentic era - from compute competition between training and inference to the reality that agent usage is growing faster than costs are falling. They explore what separates leading organizations from the rest, including systems thinking around model selection, token management, and building resilience into agentic deployments before it's too late.

The last three months have ushered in a second great accelerationist moment for AI - and the enterprises still treating this like a science project are about to find out the hard way that the grace period is over. In this Season 2 premiere, KPMG leaders Steve Chase and Rob Fisher sit down with NLW to break down what the explosion in agentic capabilities means for enterprise strategy, why the gap between what AI can do and what most organizations are getting from it is now a compounding competitive risk, and what it actually takes to move from experimentation to transformation.

To kick-off our seven-part series, Episode 1 examines how organizational culture and leadership shape the success of AI adoption at scale. Nathaniel Whittemore is joined by Kevin Bolen, Head of AI Transformation, Strategy and Investments. In this episode, they explore what it takes to create AI-friendly environments, tackle the challenges of a multigenerational workforce, and integrate AI expectations into a company's ethos. Kevin offers a framework for measuring impact, sharing practical tools to demonstrate ROI and break free from 'pilot purgatory.' Tune in for clear, actionable insights on aligning culture, leadership, and measurable outcomes to drive real enterprise transformation.

Leading organizations aren't waiting - they're already investing, scaling, and positioning themselves to reap the benefits of AI now. This isn't just a technical conversation - it's a leadership imperative. Learn more at www.kpmg.us/ai

Continue the conversation with .

Discover why data readiness is foundational to successful AI adoption in Episode 2 Nathaniel Whittemore is joined by Danielle Beringer, Principal, Advisory - Data Modernization at KPMG. Learn how to strategically prepare your data infrastructure - from collection and cleansing to management and governance - for seamless AI integration. Danielle shares best practices for building scalable, high-performance data systems that power enterprise-wide impact.

Leading organizations aren't waiting - they're already investing, scaling, and positioning themselves to reap the benefits of AI now. This isn't just a technical conversation - it's a leadership imperative. Learn more at www.kpmg.us/ai

Continue the conversation with .

Explore the transformative potential of AI agents and how they're reshaping enterprise operations and executive decision-making. In Episode 3, Nathaniel Whittemore speaks with Swami Chandrasekaran, Global Head of AI and Data Labs as he shares real-world success stories that highlight the strategic value of AI agents and introduces the KPMG TACO Framework™. Gain a clear understanding of agentic system architecture, trust and safety considerations, and common pitfalls. Learn the differences between human-in-the-loop and human-on-the-loop models, and get guidance on whether to build, configure, or buy. The conversation also covers governance, talent, and organizational readiness. Tune in for actionable insights to help your company harness the power of AI agents.

Leading organizations aren't waiting - they're already investing, scaling, and positioning themselves to reap the benefits of AI now. This isn’t just a technical conversation - it's a leadership imperative. Learn more at www.kpmg.us/ai

Continue the conversation with .