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You distributed AI licenses across your organization and expected adoption to follow. Instead, employees are using it for basic search — or not at all. The gap between "here's the tool" and "this changed how I work" is where most AI investments quietly die. In this episode, John Veltri — Managing…
Enterprise AI deployment is moving fast — and most organizations feel like they're already behind. This episode breaks down what separates companies making real AI progress from those stuck in strategy mode, and what you should demand from any partner before you commit. You'll find out what leade…
Building AI agents for production means choosing how much autonomy to give them — and that answer keeps changing. Aakriti Bhargava, VP of product engineering and AI at Revionics, has spent 20+ years in applied AI. When generative AI arrived, the hardest part wasn't building features. It was a secur…
AI training for creative teams fails when it ignores the real barriers: People don't know where to start, and they're afraid they'll automate themselves out of a job. Samuel Archibald, director of AI at the Sherlock Company, built an entire AI enablement program from scratch — gamified learning mod…
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