AI Insiders

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"AI Insiders" podcast - Artificial intelligence. Real impact. Taking you behind the curtains of how the world's most ambitious businesses grow with AI. In 20 minutes, we’ll uncover the use cases, strategies and stories that drive these industry giants forward. Tap into the minds of these AI innovators.

27 JAN

What It Takes to Become an AI-First Organization

Becoming AI-first isn’t about deploying more tools, but about changing how work gets done. In this episode, Laura Stevens breaks down why AI transformation is fundamentally a leadership and operating model challenge, not a technology one. The conversation explores how organizations must redesign workflows, confront technical debt, rethink roles and responsibilities, and build trust in AI systems to unlock real value. Drawing on patterns across industries, Laura explains why smaller organizations often move faster, how AI exposes hidden inefficiencies, and what leaders must do to shift from managing tasks to overseeing outcomes. This is a grounded, practical look at what AI-first actually means in practice - and why most organizations underestimate the change required. Dive deeper: Download your AI-first playbook here Takeaways AI transformation requires a redesign of organizational workflows.Technical debt can become a strategic bottleneck for AI adoption.AI should be integrated into business processes, not treated as a separate technology.Trust in AI is hindered by psychological barriers and fear of loss of control.Roles in organizations must shift from task execution to oversight and strategy.Smaller organizations often adapt to AI faster due to less legacy complexity.AI adoption should focus on outcomes rather than isolated use cases.Leadership must understand that AI changes how value is created in organizations.AI can expose existing complexities and inefficiencies in processes.The success of AI transformation depends on the willingness to rethink how work is done.

29 min
7 JAN

Leading AI Transformation at Global Enterprises

In this conversation, Vincent Pirenne interviews Alberto Prado, who shares insights from his extensive experience in leading AI and digital transformations at major companies like Unilever, Philips, and Nokia. They discuss the evolving landscape of technology disruption, the unique challenges of implementing AI in R&D, and the importance of building a robust data foundation. Alberto emphasizes the need for organizations to embrace change, foster partnerships, and focus on long-term growth strategies rather than short-term efficiencies. He also highlights the significance of leadership in navigating the complexities of AI transformation and the future of organizations in an AI-driven world. Takeaways Technology breakthroughs drive the need for transformation.The pace of disruption is increasing in today's landscape.R&D requires high reliability and sophistication in AI models.Data quality and richness are crucial for AI insights.AI transformation in R&D needs a different approach than other functions.Building a data lab can accelerate R&D innovation.Organizational culture must embrace data as a key asset.Partnerships are essential for successful AI transformation.Measuring ROI should focus on growth, not just efficiency.The future of organizations will require a balance of human expertise and automation.

50 min
30/05/2025

How GenAI is Rewriting Commercial Strategy? Alyssa Fenoglio on getting it right

In this episode of AI Insiders, we dive into how GenAI is reshaping commercial strategy across enterprise with Alyssa Fenoglio. Alyssa shares how she’s putting GenAI to work to unlock business value at enterprise scale: How to build GenAI momentum across global commercial teamsLessons from embedding AI in sales, marketing, and agency workflowsWhat it really takes to scale GenAI in a compliance-heavy industryWhy AI literacy, soft skills, and governance matter just as much as technologyWhat does it take to go from pilot use case to impact at scale? Tune in to find out.

31 min
07/04/2025

Enterprise AI at Work: Bayer's GenAI

In this episode of AI Insiders, we explore what enterprise AI actually looks like in practice inside Bayer Crop Science. Dan Kurdys and Sachi Desai join us to share how one of the world’s largest companies is putting GenAI to work: From internal pilots to a full-fledged internal startup, they walk us through how Bayer is building AI-powered tools that scale expert knowledge, support frontline teams, and move fast: How Bayer built momentum for GenAI from the insideLessons learned from launching an internal GenAI startup, E.L.Y.What it takes to drive real adoption in complex organizationsHow does enterprise AI go from an idea to impact? Listen to this episode!

40 min
26/02/2025

Smarter Beauty: How L'Oréal is Redefining Personalization at Scale with AI

In this episode of AI Insiders, we sit down with Béatrice Dautzenberg, Global Director of Beauty Tech Services at L’Oréal, to explore how AI, computer vision, and GenAI are revolutionizing personalized beauty. From skin diagnostics to virtual try-ons, Beatrice shares how tech is elevating the consumer experience—and what it takes to integrate AI at scale in a global powerhouse. Ready to decode the future of beauty tech? Let’s dive in.

30 min
30/12/2024

Not so cookie-cutter: Consumer Choices in the Age of AI

In this episode, we're joined by Norberto Chaclin, SVP of R&D at Mondelēz International (the company behind Oreo, Cadbury, and other fan favorites), to explore how AI is revolutionizing the food and bev industry. From predicting consumer trends to reformulating recipes, AI enables faster innovation, better decisions, and personalized products. We discuss insights on balancing risk, fostering organizational agility, and breaking with traditional "cookie cutter" approaches. With AI transforming everything from regulatory compliance to global product strategy, this discussion underpins how leaders need to embrace digital tools and rethink decision-making to drive efficiency, creativity, and better outcomes in an always rapidly changing industry.

27 min
13/11/2024

Blending tech and innovation at JP Morgan and Chase

Solving at scale: prioritizing the problem, not the solution. Tune into this episode to get insights into how JP Morgan Chase scale successful corporate-startup relationships. In this episode, we’re joined by Lisa Besserman, a top 100 tech influencer and the force driving innovation at JP Morgan Chase. Lisa shares her approach to solving at scale, dives into harnessing AI and emerging tech to boost both employee and customer experiences, and how to find impactful solutions and forging dynamic partnerships between startups and corporate giants. We’ll also explore how AI fits into her work and personal life—and how mountaineering (yes, she’s climbed Kilimanjaro!) has shaped her thinking around risk and resilience. Her advice? Find your believers, stay flexible in execution, and don’t fear failure. Tune in for insights on building a career and mindset that fuel real-world impact.

22 min
07/10/2024

Inside Netflix's Innovation: Retention, Growth, and the Password-Sharing Strategy

From strategies in a competitive streaming market to AI for customer experiences, we dive into the heart of innovation at Netflix. In this episode, we chat with Fonz Morris, Netflix's Lead Product Designer for global conversion and monetization, to discuss how Netflix stays ahead of the curve in an increasingly competitive market. Fonz discusses the strategies Netflix uses to boost revenue, user acquisition, and retention as well as the act of balancing ambitious goals with deliberate planning, particularly in the context of startups. Listen in on this insightful episode and get a peek behind the scenes of Netflix.

24 min

"AI Insiders" podcast - Artificial intelligence. Real impact. Taking you behind the curtains of how the world's most ambitious businesses grow with AI. In 20 minutes, we’ll uncover the use cases, strategies and stories that drive these industry giants forward. Tap into the minds of these AI innovators.

Creator

Board of Innovation
Years Active

2023 - 2026
Episodes

14
Rating

Clean
Copyright

© 2026 Board of Innovation
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AI Insiders