From Pain Points to Productivity: Finding AI’s Real Value
What if the real value of AI isn’t in the technology itself, but in the pain points and problems it solves for business? That’s the question at the heart of this episode of Where AI Works, which features an iconic company that’s been at the forefront of digital transformation for decades.Host Serguei Netessine is joined by Tereza Nemenssanyi, Worldwide Director of Private Equity & Venture Capital Partnerships at Microsoft, to explore the varied, experimental approaches many of her clients are taking in an effort to monetize their AI offerings. As Tereza points out, AI deployment is still in its early stages, and success in this space requires a culture that supports rapid iteration, short sprints, and a willingness to explore both vertical and horizontal applications to see what sticks. She believes the biggest opportunities lie in high “cost-to-serve” areas — pain points where AI can dramatically reduce effort or complexity. In other words, AI isn’t a destination — it’s a journey, and the smartest companies are already well down the road.Episode Highlights:5:21 - Tereza lays out the three main ways in which AI is changing the value proposition for Microsoft investors, clients, and collaborators.10:30 - Tereza shares examples of horizontal and vertical AI integration efforts, and how they can both connect to a potential ROI. 19:05 - Tereza discusses the types of blockers she's seen her clients encounter while trying to monetize AT effectively.
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24:35
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24:35
AI: The Operating System for Modern Healthcare
It's a staggering statistic: every year in the United States, diagnostic errors in the healthcare system lead to 370,000 preventable deaths and 400,000 permanent disabilities. But what if hospitals and practitioners could leverage the power of artificial intelligence to cut those numbers in half?On this episode of Where AI Works, host Serguei Netessine sits down with Elad Walach, the CEO and founder of AIDOC, which aims to set a new standard for AI-powered healthcare solutions by combining clinical logic, operational intelligence, and system-wide accountability to create an entirely new ecosystem. Their conversation offers crucial insights for other enterprise leaders who are navigating AI adoption and implementation in complex, slow-moving, or low-margin industries. It also highlights the importance of aligning AI innovation with measurable financial and clinical outcomes, rather than assuming the benefits will materialize automatically. As Elad puts it, the old saying “If you build it, they will come” is simply not true in the context of modern healthcare — you also have to prove the value of your technology and be able to extract it. Episode Highlights:8:23 - Elad discusses the challenge of convincing healthcare providers of the potential of AI when the user or practitioner isn’t the main beneficiary.15:50 - Elad explains why trying to monetize AI on a per-patient basis was a “disaster” for AIDOC because there was no clear understanding of the value proposition.19:37 - Elad looks forward to the future of AI-powered healthcare, where applications will not be disease-specific, but comprehensive and generic.
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23:57
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23:57
AI, Hardware, and the Future of Intelligent Systems
How can artificial intelligence not just transform industries but also create real business value? On this premiere episode of season two of Where AI Works, host Serguei Netessine is joined by Alan Lee, CTO of Analog Devices Incorporated, to discuss strategies for the practical deployment and monetization of AI. They explore how AI can enhance product development and predictive maintenance while addressing challenges like power efficiency and hardware constraints. Alan also shares how AI-powered innovations can open new revenue streams and competitive advantages, turning AI from a simple buzzword into measurable business outcomes. The conversation highlights the critical role of edge computing for real-time data processing as well as the cultural collaboration needed between technologists, data scientists, and even skeptics to unlock AI’s full potential. You’ll also hear Alan’s vision for a future where machine intelligence of some sort will exist everywhere, and his advice to other business leaders about when to proceed cautiously and when to go ‘all in’ when it comes to AI.Episode Highlights:10:13 - Alan discusses strategies for managing the cultural conflict that can arise within organizations when new technology is implemented.14:26 - Alan shares a counterintuitive take on the tension between technologists and what he calls “AI skeptics” across different business units.17:31 - Alan lays out his vision for the future; a world where machine intelligence of some kind will be ubiquitous and pervasive.19:21 - Alan talks about the challenge of monetizing AI when it still hasn’t realized its full potential in helping us solve some of the world’s most pressing problems.
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25:20
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25:20
Host's Cut: Reflections on Season One
What happens when AI collides with the world of marketing? A seismic shift — but only for those ready to embrace the upheaval. On this recap episode of Where AI Works, host Kartik Hosanagar reviews the four compelling conversations that made up the show’s inaugural season. Jonathan Halvorson, Global SVP of Consumer Experience at Mondelēz International, kicked things off by emphasizing the impact of AI on content creation and media spend — and the importance of preserving brand distinctiveness in an AI-driven landscape. Accenture CMO Jill Kramer shared her personal journey from AI skeptic to champion, outlining a practical roadmap for reskilling marketing teams at scale. David Droga, founder of Droga5 and CEO of Accenture Song, challenged the creative industry to embrace AI not as a replacement, but as a way to elevate originality and move beyond mediocrity. Finally, Accenture’s Chief AI Officer Lan Guan highlighted the gap between AI investment and scaled execution, and stressed the critical need for trust and governance. Together, these voices deliver a powerful message to business leaders: to harness AI's true potential, you must act boldly, intentionally, and creatively.Episode Highlights:2:05 - Jonathan discusses the importance of embedding brand distinctiveness in any AI-generated content your company creates.4:45 - David explains his provocative stance that not all creativity is worth saving.6:52 - Lan spells out why trust and explainable AI are more important than ever due to the rise in agentic systems.2:05 - Jonathan discusses the importance of embedding brand distinctiveness in any AI-generated content your company creates.4:45 - David explains his provocative stance that not all creativity is worth saving.6:52 - Lan spells out why trust and explainable AI are more important than ever due to the rise in agentic systems.
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8:46
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8:46
AI at Scale: Revolutionizing Enterprise Strategy and Growth
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.
Acerca de Where AI Works: Conversations at the Intersection of AI and Industry
In a world of rapid change, staying competitive requires thoughtful transformation. Where AI Works tackles the big questions shaping AI’s role in business today, cutting through the hype to deliver actionable insights for leaders. Brought to you by the Wharton School, in collaboration with Accenture, this podcast combines cutting-edge research with real-world case studies to uncover how top companies are using AI to upskill workforces, enhance customer experiences, boost productivity, and streamline operations. By addressing the challenges of technological disruption and innovation head-on, each episode provides both the big picture context and practical strategies leaders need to drive transformation responsibly and effectively.
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