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The Enterprise AI Show

Author: Massive Studios

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The Enterprise AI Show explores the AI journey for Enterprise companies around the world.  [formerly The Cloudcast] 


As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.


New shows every Wednesday and Sunday. 


Topics: Enterprise AI strategy · The AI Economy ·  LLMs in production · AI leadership · Agentic AI ·  Digital Sovereignty · Machine Learning · AI startups ·  Cloud Computing 

1110 Episodes
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Brian interviews Derek Carr and Mrunal Patel, distinguished engineers at Red Hat, about OpenClaw Enterprise, the new open-source project that brings Red Hat, NVIDIA, and the OpenClaw community together to make persistent AI agents safe and manageable at enterprise scale. The work started with OpenShell, a deny-by-default sandbox the pair helped build with NVIDIA that treats every agent as potential malware. Agents never see credentials (a supervisor egress proxy injects them from outside), ke...
Brian and Brandon take a detour from the usual tech news to ask a question every enterprise buyer of AI should be asking: why do some of tech’s most celebrated leaders project absolute confidence in claims that later prove false? Starting from the new Elizabeth Holmes documentary, they debate whether that kind of conviction is innate or learned. Brian argues it develops in stages, as each funding round and glowing press profile ties a founder’s identity more tightly to a story they must defen...
Brandon interviews Dan Manges, co-founder and CEO of RWX, about why continuous integration is the bottleneck for engineering teams working with coding agents. Manges, previously CTO at Braintree and Root, explains that he started RWX after watching CI tooling fail to scale with fast-growing codebases in regulated industries. He argues that feedback loops under five to ten minutes keep engineers in a flow state, and that slower loops push people (and agents) into costly context switching. Ma...
Brian and Brandon open mid-October’s AI news of the month by asking whether a yes-or-no answer engine like Jev could have saved the Commanders from a clock-management meltdown, and why a binary classifier is worth a reported $7.5 billion. A six-month check-in on their May AI draft leaves the scorecard roughly even, with Anthropic the clear winner over Google. Then come the financial cracks. CoreWeave’s borrowing costs have reportedly jumped from around 7% to about 15%, adding to Oracle’s cont...
Brandon interviews Dominic Williams, founder, president, and chief scientist of the DFINITY Foundation, about the Internet Computer and why he set out to build a new back-end compute stack. Williams traces his path from building the kids' MMO Fight My Monster, one of the first serious production users of Cassandra, to decentralized networks and the founding of DFINITY in 2016. He explains the thesis behind the Internet Computer: a stack of software running down to the silicon can never be ful...
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