In this episode of The Art of the Possible, we dive into the transformative power of generative AI—and what it takes to successfully implement this revolutionary tool. Featuring experts from AWS, Weights & Biases, and Bloomberg Industry Group, the discussion centers on how to turn the promise of AI into real business results while avoiding common pitfalls.?Kimberly Madia, VP of Product Marketing at Weights & Biases, explains why successful AI adoption hinges on iteration, experimentation, and robust tooling that builds confidence in outputs.?“That’s exactly why we provide tools for experiment tracking and iteration,” she says, “so as you're making changes to prompts or models or data sets, you can quickly see and evaluate how those changes impact your metrics. Then, of course, when we move to deployment and monitoring and production, gathering feedback from users on how the application is performing is really important.”?Tom Shen, Team Lead of Machine Learning at Bloomberg Industry Group, gives a behind-the-scenes look at how his teams are embedding AI across workflows—not just to impress customers, but to create lasting internal competency.?“Our parent company's core values are very much our core values as well,” he says. “We are incredibly customer obsessed and any technology or content that we add to our platform, generative AI or not, needs to make sense for our customers. And this motto extends beyond just our subscribers. Even if we’re building new tools for our engineering team, we put a premium on their user experience as well.”?AWS’s Salman Taherian, Worldwide GenAI Partner Lead – GSI/ISV, ties it all together, emphasizing that AI success isn’t just technical; it requires the right partners, data infrastructure, and governance to scale smartly.
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