The Data Exchange with Ben Lorica

Ben Lorica speaks with Helen Gu, CEO of InsightFinder AI and professor at North Carolina State University, about why reliability is becoming a central challenge for enterprise AI. They discuss AI incident response, monitoring agents in production, domain-specific small language models, causal inference for operational data, and why the “last 1%” of accuracy and reliability is often the hardest part of deploying AI systems. 
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Detailed show notes and transcript, can be found on The Data Exchange web site.

Ben Lorica talks with Chang She, co-founder and CEO of LanceDB, about the limitations of traditional analytical data tools like Pandas and Parquet when applied to AI workloads. They discuss the rise of the “multimodal lakehouse,” the unique data storage and retrieval challenges introduced by AI agents, and how LanceDB provides both lightweight embedded memory and massive-scale infrastructure. 
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Detailed show notes and transcript, can be found on The Data Exchange web site.

Ben Lorica is joined by Evangelos Simoudis for a wide-ranging check-in on how AI is reshaping mobility, enterprise software, and corporate strategy.
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Detailed show notes and transcript, can be found on The Data Exchange web site.

Ben Lorica speaks with Hamza Tahir, co-founder of Kitaru, about what it takes to move AI agents from demos to production. They discuss the difference between workflows and agents, why “harness engineering” is becoming a useful frame for application builders, and why long-running agent workloads require orchestration, durable execution, retries, state management, and human-in-the-loop semantics.
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Detailed show notes and transcript, can be found on The Data Exchange web site.

In this episode, host Ben Lorica sits down with Zhou Yu, associate professor of computer science at Columbia University and co-founder of Arklex AI. 
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Detailed show notes and transcript, can be found on The Data Exchange web site.