Episode 15: AI Cloud Essentials Podcast
Enterprise AI is evolving beyond retrieving information to predicting outcomes. As organizations look to make smarter business decisions, they need AI models that understand which signals drive results, along with the data, training approaches, and infrastructure required to support continuous experimentation.
In this episode of AI Cloud Essentials, host Ritu Jyoti sits down with Ben Turtel, Founder and CEO of Lightning Rod Labs, to explore how predictive AI is transforming enterprise decision-making. Learn how specialized models can identify meaningful patterns in complex business data to support applications across financial services, private equity, sales, and more.
The conversation also explores the challenges of accessing proprietary data, managing training costs, and deploying containerized AI models. Discover why flexible GPU infrastructure, efficient experimentation, and smaller, specialized models are becoming increasingly important as enterprises move from information retrieval toward outcome-driven AI.
What you’ll learn
- Why enterprise AI is shifting from information retrieval to prediction
- How predictive models identify signals that influence business outcomes
- Why proprietary data access remains a major challenge for enterprise AI
- How smaller, specialized models can support enterprise AI applications
- Why flexible GPU infrastructure and cost-efficient training matter
- How predictive AI can improve decision-making across industries
Guest: Ben Turtel, Founder and CEO of Lightning Rod Labs
