Art of the possible

Art of the possible
Podcast Description
Generative AI has the ability to transform business across every industry, increasing productivity and efficiency, improving decision-making, reducing costs and errors, and driving innovation. But that’s easier said than done. Adopting generative AI is hard – or, at least, it can be, filled with pitfalls that can quickly turn this revolutionary tool into a cost and time sink. In this podcast series, we explore how AWS and its partners are unlocking the potential of generative AI to deliver groundbreaking solutions that maximize your data and transform your business. Each month, we’ll meet a new AWS partner and how they enable business transformation through the smart and thoughtful application of generative AI.
Podcast Insights
Content Themes
The podcast focuses on themes such as adoption strategies for generative AI, hyper-personalization in marketing, and effective implementation challenges. Episodes include insights from industry leaders, like how UCLA Anderson increased alumni donations by 130% through AI-driven communications and how companies can achieve ROI by aligning generative AI projects with business goals.

Generative AI has the ability to transform business across every industry, increasing productivity and efficiency, improving decision-making, reducing costs and errors, and driving innovation. But that’s easier said than done. Adopting generative AI is hard – or, at least, it can be, filled with pitfalls that can quickly turn this revolutionary tool into a cost and time sink. In this podcast series, we explore how AWS and its partners are unlocking the potential of generative AI to deliver groundbreaking solutions that maximize your data and transform your business. Each month, we’ll meet a new AWS partner and how they enable business transformation through the smart and thoughtful application of generative AI.
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.
“Testing and experimentation isn’t just about understanding technology,” he says. “It’s really about building that organizational muscle for transformation and change management. And what I’ve learned is that companies who invest in this, they’re really building that gen AI muscle, right? … That’s hard to do on your own, and that’s why partnerships like those between Bloomberg Industry Group, Weights & Biases, and AWS are so critical.”
Whether you’re an executive, engineer, or innovator exploring what’s next for AI in your business, this episode delivers practical insights and a grounded vision for the future. Listen to the full episode for tips on how to move fast, stay agile, and build with confidence.

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