The Enterprise AI Show

Massive Studios

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 

  1. 1 day ago

    Will OSS Models Take Over?

    SUMMARY: This episode is the second part and explores the flip side of OSS models. Last episode, we discussed the potential decline; this episode, we’ll talk about the potential positive future of OSS models. Aaron and Brandon explore the future of open source AI models, the role of industry consortia, and how major tech companies like NVIDIA, Apple, and Google are shaping the AI landscape. They discuss the potential for open models to become industry standards and the strategic motivations behind these moves. SHOW: 1054 SHOW TRANSCRIPT: The Enterprise AI Show #1054 Transcript SHOW VIDEO: https://youtu.be/w238Y1ZKG1Q SHOW SPONSORS: Nasuni - Activate your data for AI and request a demo Topic: Are we seeing the end of OSS models? Why now? NVIDIA Open Secure AI Alliance (all except Anthropic joined) & Linux Foundation is managing proposalsPast: OSS runs the world…  Up until now, there hasn’t been an overarching “AI Model” project managed by the CNCF or Linux Foundation that has gained any tractionPresent: As model sizes increase, who pays for training? I think the DB market is the closest parallel here, and it's also where the most OSS rug pulls have happened in the past. Is this history repeating itself, but also a lesson learned because so many DB companies got burned?Future: Someone will have to donate a trillion+ parameter model to a foundation. My bet is NVIDIA will eventually drive this through Nemotron; it makes the most sense, and they have the most to lose if OpenAI and Anthropic take over and also eventually use their own chips.FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

  2. 9 Aug

    The Zitron Bear Case: What's Right, What's Wrong?

    SUMMARY: In this episode, Aaron and Brandon tackle the provocative critiques of AI by Ed Zitron, a vocal opponent in the tech industry. They delve into the bear case against AI, exploring both the merits and flaws of Zitron's views. SHOW: 1052 SHOW TRANSCRIPT: The Enterprise AI Show #1052 Transcript SHOW VIDEO: https://youtu.be/Fm3T5bT_8CQ SHOW SPONSORS: Nasuni - Activate your data for AI and request a demo Topic: The Zitron Bear Case — What's Right, What's Wrong? Why now? Ed Zitron went on CNBC's Squawk on the Street to lay out his bear case against OpenAI and Anthropic, covering questionable finances, AI's lack of ROI, and framing the whole thing as a symptom of the tech industry running out of hypergrowth ideas. CNBCXPast: Every hype cycle gets its designated skeptic — dot-com had its shorts, cloud had its "just a fad" crowd, crypto had its own chorus. Zitron's been running this playbook since the early ZIRP-era "subprime AI crisis" pieces.Present: Zitron's specific claims — OpenAI's burn rate math, the "nobody's making money on inference" argument, the case that Anthropic and OpenAI shouldn't be allowed to IPO with the numbers they'd have to report — stack up against actual usage/revenue data Brian and Aaron are seeing in the market. YouTubeFuture: If Zitron's right about the economics, what's the unwind look like? If he's wrong, what is he missing about where value actually accrues (infra, tooling, harnesses vs. raw model access)?FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

  3. 22 July

    AI's Impact on Trust and Brand

    SUMMARY: Brian talks Melissa Rosenthal from Outlever about the intersection of AI, brand, and marketing. They explore how AI impacts trust, brand consistency, and operational efficiency, offering insights for organizations navigating AI adoption. SHOW: 1047 SHOW TRANSCRIPT: The Enterprise AI Show #1047 Transcript SHOW VIDEO: https://youtu.be/PEqyOxE9PIw SHOW SPONSORS: Nasuni - Activate your data for AI and request a demoShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!RESOURCES: Outlever State of Brand Article KEY TOPICS: AI's impact on trust and brand perceptionOperational efficiencies and AI workflowsChallenges of AI implementation and guardrailsMeasuring ROI and costs of AIThe importance of brand consistency in AI interactionsTAKEAWAYS AI can speed up engineering and operational tasks by 100X.Many companies are still in pilot stages with AI, lacking governance.Brand consistency is at risk when AI interactions don't align with brand values.Experimentation with AI is costly and often lacks clear ROI.Organizations need to orchestrate AI workflows across teams for better outcomes.CHAPTERS/TOPICS: 00:00 Introduction to AI's impact on enterprise and brand 00:30 Melissa Rosenthal's background and Outlever's focus 01:05 The trust issue: AI replacing human interactions 01:55 How AI speeds up workflows and system building 03:00 Risks of AI in customer-facing interactions 04:11 Brand touchpoints and AI's influence on brand perception 05:05 Training AI to reflect brand values 05:59 Responsibility and handling AI mistakes 06:53 Current state of AI governance in companies 08:12 ROI and costs of AI experimentation 08:57 The early stage of AI adoption and lessons learned 10:11 Future outlook: AI in marketing and brand orchestration 10:58 The importance of workflow orchestration across teams 12:03 Bridging the gap between technology and marketing 12:54 The chaos and chaos in AI adoption today 14:03 Risks of homogenized brand messaging with AI 15:02 Predictions for AI in marketing in the next year 16:04 Reorganizing teams around AI outcomes 17:04 The missing link: connecting technology and brand strategy 18:03 Final thoughts and key takeaways FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

4.9
out of 5
16 Ratings

About

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 

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