Host's Cut: Reflections on Season Two

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Where AI Works: Conversations at the Intersection of AI and Industry

The Wharton School

16 episodes

4 days ago

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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Host's Cut: Reflections on Season Two

Where AI Works: Conversations at the Intersection of AI and Industry

9 minutes 36 seconds

2 months ago

Host's Cut: Reflections on Season Two

AI is no longer a futuristic promise — it’s become a business imperative. Whether it's edge computing for real-time insights, rethinking patient care ecosystems, or rolling out generative AI to 138,000 employees, this season of Where AI Works highlights how AI is reshaping strategy, service delivery, and decision-making across the enterprise.

On this recap and review episode, host Serguei Netessine reflects on the key learnings from his conversations with Alan Lee, the CTO of Analog Devices; Elad Walach, the CEO of AIDOC; Tereza Nemenssanyi, Worldwide Director of Private Equity & Venture Capital Partnerships at Microsoft; and Ajay Anand, the Senior Vice President of Global Services, Strategy and Business Services at Johnson & Johnson. Together, they unpack how leading companies are moving beyond hype to maximize ROI across industries — from semiconductors and healthcare to global enterprises. Our guests discuss how AI is enhancing product development, reducing diagnostic errors, transforming shared services, and driving operational efficiency. It turns out technology alone isn’t enough: organizations must align AI adoption with measurable outcomes, foster a culture of experimentation, and build bridges between data scientists, business leaders, and end users to unlock true value.

Episode Highlights:

1:43 - Alan shares the “8th grade Earth science model” he uses to explain the relationship between LLMs, industrial AI, and edge-type devices.

4:25 - Elad explains why the true value of AI lies in adopting an enterprise-wide or systems-based approach, rather than a task-by-task approach.

6:05 - Tereza discusses why implementing AI should be an ecosystem play, where different startups and large companies work together to make it more useful.

7:39 - Ajay lays out the “EEE” framework (experience, effectiveness and efficiency) that Johnson & Johnson uses to track the KPIs of its AI-related efforts.