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Hosted by Christina Ellwood and David Yakobovitch · technology · EN-US · 44 episodes
Join hosts Christina Ellwood and David Yakobovitch as they dive deep into the cutting-edge world of enterprise AI deployment. Drawing inspiration from the annual AI Realized Summit, this podcast brings you the insights, strategies, and real-world experiences of Fortune 2000 leaders who are reshaping their organizations through AI.Each episode of AI Realized tackles the most pressing challenges and opportunities in AI implementation:Discover how industry giants like Bank of America, GitHub, and DoorDash are boosting productivity and enhancing user experiences with AIExplore critical topics such as AI security, data management, and operational infrastructureLearn from experts about overcoming organizational hurdles and managing the cultural shift that comes with AI adoptionGet a glimpse into the future of AI in various sectors, from healthcare to media and entertainmentWhether you're a C-suite executive, an AI practitioner, or a technology enthusiast, AI Realized offers the knowledge and
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Signup to Generate a PitchAI Realized is a technology podcast hosted by Christina Ellwood and David Yakobovitch, with 44 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
Christina Ellwood and David Yakobovitch hosts AI Realized, a technology show with 44 episodes published.
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Episode #44
Autonomous agents are transforming enterprise operations, but who governs their decisions? Yogita Parulekar explains why AI governance must move beyond models and focus on delegated authority, identity, permissions, and secure-by-design architectures. Learn how leading enterprises are preparing for agentic AI before today's governance practices become tomorrow's weakest link.
Episode #43
Ken Johnston and Bob Rapp make the case that AI governance has to work like engineering. In this episode, they explain why policies trapped in PDFs cannot protect enterprises, how governance as code changes the deployment pipeline, and what it takes to make AI controls automated, testable, and real. If you are still treating governance like paperwork, this conversation will change how you think.
Episode #42
Chris Butler of GitHub makes a bold case that most enterprises are designing AI agents the wrong way. Instead of building agents that mimic job titles, he says leaders should build agents that create specific artifacts inside governed workflows. In this episode, he explains how that shift changes automation, trust, and cross-functional execution, and why the future of agentic AI belongs to teams that focus on outputs, not impersonation.
Episode #41
<p>Christopher Penn reveals how enterprises are using agentic AI to automate workflows, predict customer behavior, improve sales performance, and unlock entirely new revenue streams. From autonomous agents to AI-powered customer simulation, this episode explores what separates AI experimentation from measurable enterprise impact.</p>
Episode #40
<p>What happens when AI decides your company does not exist? Curtis Sparrer reveals the hidden battle for visibility in an AI-first world. From hallucinations that erase brands to the surprising return of press releases, this episode uncovers how enterprises must rethink discoverability, trust, and reputation. If your brand is not showing up in AI answers, it is already losing.<br><br></p><p><br><br></p>
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