On the 55th episode of Enterprise AI Innovators, hosts Evan Reiser (Abnormal AI) and Saam Motamedi (Greylock Partners) welcome Richard Donaldson, Senior Vice President and Chief Information Officer at Duke Energy. Richard explains how one of the largest regulated utilities in North America is embracing AI to reshape its digital infrastructure and accelerate enterprise-wide transformation. He shares concrete use cases, like Duke Energy Explorer for regulatory responses and generative AI authoring relicensing documentation, and conceptualizes a future where AI-powered drones and intimate co-pilots redefine operational productivity.

Quick Hits from Richard:

On strategic clarity for AI: “Everybody’s waiting for me to say we did this AI thing straight out of a science fiction book, but the most valuable stuff doesn’t always come with the spice.”

On AI’s impact at Duke: “We built a conversational AI that harvests data across hundreds of sources for regulatory Q&A. It’s not banan, but it moves the needle every single time.”

On business framing for AI usage: “We spent 2024 doing the unsexy work: protecting data, governing AI platforms. That was the homework. Now we're turning the page and going fast.”

Book Recommendation: Fall; or, Dodge in Hell by Neal Stephenson

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Enterprise AI Innovators is a show where top technology executives share how AI is transforming the enterprise. Each episode covers the real-world applications of AI, from improving products and optimizing operations to redefining the customer experience.

Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/

Enterprise AI Innovators is produced by Josh Meer.

On the 54th episode of Enterprise AI Innovators, hosts Evan Reiser (Abnormal AI) and Saam Motamedi (Greylock Partners) talk with Max Chan, Senior Vice President and Chief Information Officer at Avnet. Avnet is a $20 billion global technology distribution company that plays a critical role in the electronics supply chain, supporting the design, production, and delivery of devices worldwide. In this episode, Max shares how Avnet is utilizing generative AI to transform the way work is done across product design, quoting, customer service, and IT. He outlines their strategic maturity model for AI adoption and why CIOs must lead with experimentation.

Quick Hits from Max:

On evolving IT’s role: "[We] moved away from the monolithic type of solutions into a more cloud-first, digital-centric composable architecture. That change truly helped with driving any and every innovation that we are talking about today.”

On framing enterprise AI: "We bucket [AI use] into three types. First, we talk about out-of-the-box generative AI tools… The second bucket is what we like to call embedded AI… Last is truly custom AI solutions."

On generative design: "The engineers, instead of coming with three designs [and having] the customer look at it, come back with some recommendations or questions, [and then] they go back to the drawing board; now they can immediately get in front of a customer [and] say, 'hey, look, these are the things that we can do if this is what you want [and] these are the parameters that you're changing.'"

Recent Book Recommendation: Competing in the Age of AI by Karim Lakhani. "A great cheat sheet for CIOs and CDOs on how to get started and what to avoid."

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Like what you hear? Leave us a review and subscribe to the show on Apple, Google, Spotify, Stitcher, or wherever you listen to podcasts.

Enterprise AI Innovators is a show where top technology executives share how AI is transforming the enterprise. Each episode covers the real-world applications of AI, from improving products and optimizing operations to redefining the customer experience.

Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/

Enterprise AI Innovators is produced by Josh Meer.

On the 53rd episode of Enterprise AI Innovators, hosts Evan Reiser (Abnormal AI) and Saam Motamedi (Greylock Partners) talk with Sineesh Keshav, Chief Technology Officer at Prologis. With over 1.3 billion square feet under management and over 8 billion in revenue, Prologis is the world's largest logistics real estate company. In this conversation, Sineesh shares his perspective on how Prologis drove 95% company-wide adoption of generative AI through personal productivity use cases. He also discusses the future of SaaS as enterprises begin to take greater ownership of their data and AI models, and how AI is enabling a shift from static infrastructure to dynamic, self-optimizing supply chains.

Quick hits from Sineesh:

On understanding build vs. buy with AI: "If everyone has access to the latest, greatest models, which should be our assumption, then the only thing that differentiates your company is your data, and how you use it. And anything that touches proprietary data should be built internally.”

On the importance of enterprise AI strategy: "This isn't something you can afford to sit out. There's a minimum investment every company needs to make—don't skimp on licenses; don't wait to see how it shakes out. Make it accessible, find champions, and start now.”

On how AI empowers employees: "At the most basic level, it's a productivity driver. Some people use it to proofread emails, others use it to summarize a 40-page memo, or draft that memo entirely. Every employee can use it in completely different ways—and that's exactly the point.”

Recent Book Recommendation: When Breath Becomes Air by Paul Kalanithi

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Like what you hear? Leave us a review and subscribe to the show on Apple, Google, Spotify, Stitcher, or wherever you listen to podcasts.

Enterprise AI Innovators is a show where top technology executives share how AI is transforming the enterprise. Each episode covers the real-world applications of AI, from improving products and optimizing operations to redefining the customer experience.

Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/

Enterprise AI Innovators is produced by Josh Meer.