Context Window: Enterprise AI Reality Check
Cutting through the AI hype to deliver insights that matter
Recent Episodes
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What Comes After the GPU?
Interview – Qi Jin, EVP of Software, Cerebras Systems
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10x Engineers Don't Build 10x Companies
Interview – Sridhar Rajagopalan, VP of Platform Services, IBM
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The Rise of the Product Generalist
Interview – Silas Sao, Head of Design, IBM
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The Bigger Model Myth
Interview – Vanja Josifovski, Founder, Kumo.ai
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Your AI is Waiting on Your Data
Interview – Jun Rao, Co-Founder, Confluent
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Agentic Coding is Eating Itself
Interview – Jonathan Ellis, CEO & Founder, Brokk
About the Show
There’s no shortage of AI content, and a lot of it sounds the same.
Anant and Ed created Context Window to cut through that noise and have more substantive conversations about what’s actually happening in AI. The show looks closely at the technical shifts happening now and what they mean for enterprises and builders.
Each episode goes deep on a specific topic with a guest who’s close to the work, bringing technical depth and real-world perspective to the conversation.
Meet the Hosts
Anant Jhingran and Ed Anuff bring decades of experience building and scaling enterprise technology. Across software, data, infrastructure, and AI, they’ve worked through multiple technology shifts firsthand.
That experience shapes how they approach the show: curious, technical, and grounded in what it takes to turn new technology into something people can actually use.
Anant Jhingran is the CTO for IBM Software. He has built and scaled deeply technical products used by thousands of enterprises, including as co-founder and CEO of StepZen and in leadership roles at Apigee, where he helped take the company public before its acquisition by Google. He holds a PhD in database systems from UC Berkeley.
Ed Anuff is the Chief Product Officer for IBM watsonx.data. He has spent his career building category-defining products across search, data, cloud, and AI, including leadership roles at DataStax and Apigee. His work has focused on turning complex infrastructure into products developers and enterprises can actually use.