AI at Scale: Revolutionizing Enterprise Strategy and Growth
Where AI Works: Conversations at the Intersection of AI and IndustryShow Notes
Is your organization stuck on table stakes or starting to place more strategic bets when it comes to implementing AI? Are your employees still wrapping their heads around LLMs, or have they started experimenting with agentic AI? And what’s the competitive advantage you want your company to be famous for?
On this season finale episode of Where AI Works, host Kartik Hosanagar tackles those questions and more with the help of a woman who oversees more than 65,000 data and AI practitioners, and has helped her organization book more than 5.6 billion dollars worth of AI-related business in the past 18 months — Accenture’s Chief AI Officer, Lan Guan. Together, they break down the key trends shaping AI’s impact on enterprises, with Lan sharing insights from Accenture’s groundbreaking AI initiatives. You’ll hear specific examples of how AI-powered solutions are improving efficiency and automating workflows across sectors like financial services, oil and gas, and life sciences. Lan also shares her thoughts on which challenges the AI sector still needs to solve, including education, governance, and interoperability.
Episode Highlights:
7:10 - Kartik and Lan discuss how companies can cope with the “problem of plenty” in the AI space; the vast array of new software solutions on offer.
12:27 - Lan explains how companies need to ensure talent and data readiness to avoid the old “garbage in, garbage out” pitfall that has plagued AI implementation efforts in the past.
17:31 - Lan shares what she sees as the three roadblocks or challenges the industry faces in deploying large scale agent based systems in organizations.
More from Where AI Works: Conversations at the Intersection of AI and Industry
What happens when AI stops being a tool and starts reshaping how decisions get made? Who has the judgment and responsibility to double-check the work that AI is doing? And what actually separates companies that are scaling AI from those that are just experimenting?
If AI removes traditional constraints on execution, what becomes the limiting factor? AI can now generate, summarize, and analyze, but it still can’t judge. And as many business leaders are learning, that can cause a new wrinkle in workflows.
How is AI transforming product development inside large-scale organizations? What does it look like when teams move from Product Requirements Documents to rapid prototyping? And how are roles, workflows, and decision-making changing in our increasingly AI-first world? On this episode of Where AI Works, host Matthew Bidwell sits down with Paul Stathacopoulos, Vice President of Product for Focus Categories and International Cross Border Trade at eBay, to find out how AI is reshaping the way products are built and delivered inside one of the world’s largest online marketplaces. Together, they explore how eBay is using AI across three key areas: improving customer-facing experiences, unlocking insights from massive datasets, and fundamentally transforming product development workflows. They also discuss the shift from traditional PRDs to rapid, AI-generated prototypes, and how “vibe coding” is enabling teams to test ideas with customers in a period of days instead of months. Finally, they unpack how AI is blurring roles across product, design, and engineering, and why adopting an AI-first mindset is critical to staying competitive in a rapidly evolving landscape.
It’s a question that looms large for any business leader these days, but the stakes are even higher for those that manage massive workforces: as AI transforms the workplace, what happens to jobs and the people doing them? On this episode of Where AI Works, host Matthew Bidwell speaks with Donna Morris, the Chief People Officer at Walmart, about what it means to introduce AI across one of the largest workforces on the planet; more than 2.1 million associates around the world. Morris explains the company’s “people-led, tech-powered” approach, where AI is used to augment employees rather than replace them. She also discusses the emergence of new roles like AI agent-builders , and explores the skills that matter most in an AI-driven workplace. While technical expertise is important, Morris argues that adaptability, communication, curiosity, and interpersonal skills will define the most successful employees in the years ahead. For leaders navigating this rapid change, the takeaway is simple: invest in people, build new skills, and be sure to bring your workers along for the ride.
The way we think about jobs is changing. As artificial intelligence reshapes how work gets done, traditional roles and titles are giving way to something more fluid: a skills-based economy. But while organizations are moving quickly to redefine what they need, workers and educators are still catching up, creating a growing gap between the skills people claim to have and the capabilities employers truly value.