Podcast
The Enterprise AI Show
Hosted by Massive Studios · EN
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
64episodes
Episodes
Newest firstAll episodes
Do You Even Need That Trillion-Parameter Model?
6d ago00:15:22Tap to summarizeSUMMARY: We continue our Models and Money series. In this episode, Brian and Aaron explore the current state and future of AI models, focusing on model size, model harnessing, and intelligent model routing. They discuss whether bigger models are always better, the economics of AI, and how enterprise applications can benefit from tailored AI solutions.SHOW: 1051SHOW TRANSCRIPT: The Enterprise AI Show #1051 TranscriptSHOW VIDEO: https://youtu.be/tkJmeazn8BsSHOW SPONSORS:Nasuni - Activate your data for AI and request a demoTopic: When will the models/harnesses be good enough?Why now? Benchmark Maxxing - cost to build/host/maintain 1+ trillion parameter modelPast: The “wow” moments in versions really stopped around GPT4… (maybe?)Present: Race to the top/bottom, millions spent to gain SOTA for a few daysFuture: Will the pendulum swing back? Will bigger/faster always rule?FEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
Transcribe →AI News of the Month - July 2026
1w ago00:46:08Tap to summarizeSUMMARY: Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard) discuss the biggest AI news stories from the month of July 2026. SHOW: 1050SHOW TRANSCRIPT: The Enterprise AI Show #1050 TranscriptSHOW VIDEO: https://youtu.be/9u-uAaQVjXkSHOW SPONSORS:Nasuni - Activate your data for AI and request a demoSHOW NOTES:Links to all the AI News covered in this month’s showFEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
Transcribe →How AI Stacks are rewriting the Rules of Business
2w ago00:40:25Tap to summarizeSUMMARY: Brian speaks with Dave Vellante, Co-Founder/CEO theCUBE, about how AI is changing the entire tech stack, the evolution of systems of intelligence, and how the competitive landscape is forcing companies to make difficult decisions about their AI future.SHOW: 1049SHOW TRANSCRIPT: The Enterprise AI Show #1049 TranscriptSHOW VIDEO: https://youtu.be/EgIvsBnZnmgSHOW SPONSORS:Nasuni - Activate your data for AI and request a demoShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!SHOW NOTES:How AI Stacks are rewriting the Rules of BusinessTopic 1 - The new technology stacks being driven by AI. Where is intelligence being built and distributed? Topic 1a - Where is value in the stack being created and commoditized?Topic 1b - Where do you see powerful software ecosystems defending themselves and where are they most vulnerable because of AI?Topic 2 - Alex Karp’s thesis that the harness will generate more value than the models, and owning and managing the harness is a path to enable companies to better control their AI future. Topic 3 - Is AMD potentially cracking NVIDIA’s monopoly on AI accelerators? FEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
Transcribe →When Will the Models be Good Enough?
2w ago00:19:24Tap to summarizeSUMMARY: Brian and Aaron explore the current state and future of AI models, focusing on model size, model harnessing, and intelligent model routing. They discuss whether bigger models are always better, the economics of AI, and how enterprise applications can benefit from tailored AI solutions.SHOW: 1048SHOW TRANSCRIPT: The Enterprise AI Show #1048 TranscriptSHOW VIDEO: https://youtu.be/1IHXNrYlYCASHOW SPONSORS:ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!Nasuni - Activate your data for AI and request a demoTopic: When will the models/harnesses be good enough?Why now? Benchmark Maxxing - cost to build/host/maintain 1+ trillion parameter modelPast: The “wow” moments in versions really stopped around GPT4… (maybe?)Present: Race to the top/bottom, millions spent to gain SOTA for a few daysFuture: Will the pendulum swing back? Will bigger/faster always rule?FEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
Transcribe →AI's Impact on Trust and Brand
3w ago00:25:03Tap to summarizeSUMMARY: 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: 1047SHOW TRANSCRIPT: The Enterprise AI Show #1047 TranscriptSHOW VIDEO: https://youtu.be/PEqyOxE9PIwSHOW SPONSORS:Nasuni - Activate your data for AI and request a demoShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!RESOURCES:OutleverState of Brand ArticleKEY 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 interactionsTAKEAWAYSAI 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 brand00:30 Melissa Rosenthal's background and Outlever's focus01:05 The trust issue: AI replacing human interactions01:55 How AI speeds up workflows and system building03:00 Risks of AI in customer-facing interactions04:11 Brand touchpoints and AI's influence on brand perception05:05 Training AI to reflect brand values05:59 Responsibility and handling AI mistakes06:53 Current state of AI governance in companies08:12 ROI and costs of AI experimentation08:57 The early stage of AI adoption and lessons learned10:11 Future outlook: AI in marketing and brand orchestration10:58 The importance of workflow orchestration across teams12:03 Bridging the gap between technology and marketing12:54 The chaos and chaos in AI adoption today14:03 Risks of homogenized brand messaging with AI15:02 Predictions for AI in marketing in the next year16:04 Reorganizing teams around AI outcomes17:04 The missing link: connecting technology and brand strategy18:03 Final thoughts and key takeawaysFEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
Transcribe →What is a Behavioral Agent Automation Platform?
3w ago00:34:47Tap to summarizeSUMMARY: Steven Walchek, CEO at Liminal, discusses secure AI enablement for regulated industries and why most enterprises are stuck in perpetual AI pilots. We explore the "agentic cliff" and how Behavioral Agent Automation Platforms (BAAPs) discover and deploy agents by observing how work actually happens.SHOW: 1046SHOW TRANSCRIPT: The Enterprise AI Show #1046 TranscriptSHOW VIDEO: https://youtu.be/nVte_ZKDID4SHOW SPONSORS:ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!Nasuni - Activate your data for AI and request a demoRESOURCES:Liminal AISteven Walchek - LinkedInKEY TOPICS:Horizontal security for generative AIData privacy and compliance in AISecurity layers in AI deploymentAgentic AI and behavioral automationFuture industry trends in AI securityTAKEAWAYSSecurity for AI must be integrated at the application layer, not just network or perimeter.Data privacy concerns are central to AI adoption in regulated industries.Organizations need a security layer that supports multi-model, multi-provider AI engagement.Behavioral automation and agentic AI require observability and policy enforcement.The AI industry is still in early adoption, with significant growth expected in the next five years.CHAPTERS/TOPICS:00:00 Introduction and guest introduction02:09 Steven's background and journey in tech03:54 The core problem of AI security in regulated industries07:45 Data privacy concerns and industry challenges12:01 Liminal's approach to AI security and compliance15:52 Security at the application layer and network layer20:02 Agentic AI, behavioral automation, and observability30:04 Future trends and industry outlook31:46 How to connect with Liminal and closing remarksFEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
Transcribe →Does FinOps need an update for the AI world?
4w ago00:14:49Tap to summarizeSUMMARY: On today’s "Models and Markets" - we explore about the FinOps experience from Cloud is having to adapt to the changing demands of Enterprise AI. SHOW: 1045SHOW TRANSCRIPT: The Enterprise AI Show #1045 TranscriptSHOW VIDEO: https://youtu.be/Plb88y-IkZYSHOW SPONSORS:Nasuni - Activate your data for AI and request a demoShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!SHOW NOTES:Topic: Finops for AI?Why now? Cost of tokens goes up as model performance increases, but still needs subsidies…Past: FinOps for Cloud - prices grew out of control, needed centralization for expense management and capital allocationPresent: TokenMaxxing, the move from per-seat to per-token pricingFuture: What happens when you can’t afford the Ferrari anymore? Will there be a glut of FinOps for AI startups? What happens when usage is regulated and centralized?FEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
Transcribe →Buy, Build or Rent your AI?
Jul 1200:18:23Tap to summarizeSUMMARY: Something new - "Models and Markets" - Aaron and Brian explore how recent news and macro trends are causing more companies to explore whether they should Buy, Build or Rent their AI future. SHOW: 1044SHOW TRANSCRIPT: The Enterprise AI Show #1044 TranscriptSHOW VIDEO: https://youtu.be/vcroGCXd3N4SHOW SPONSORS:ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!Nasuni - Activate your data for AI and request a demoSHOW NOTES:Topic: Own AI or Rent AI?Why now? Fable 5 and GPT 5.6 get restricted in the USPast: Private Cloud (on-prem/server huggers) vs. Public cloud vs. *gasp* hybrid cloudPresent: OSS Models vs. Big API modelsFuture: What happens when the subsidies go away, and rational business practices hit the industry??FEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
Transcribe →Unstructured Data in an AI World
Jul 800:24:23Tap to summarizeSUMMARY: While we spend a lot of time discussing AI models, we don’t always spend enough time on the challenges of managing the unstructured data used to train, tune, and enable those models. SHOW: 1043SHOW TRANSCRIPT: The Enterprise AI Show #1043 TranscriptSHOW VIDEO: https://youtu.be/OAqnuhorMJ4SHOW SPONSORS:Nasuni - Activate your data for AI and request a demoShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!SHOW NOTES:Topic 1 - Welcome to the show. Tell us a bit about your background and where you focus today at NasuniTopic 2 - We’ve spent two years talking about models. Are we finally entering the era where the biggest differentiator is data quality rather than model quality?Topic 3 - When customers inventory their AI-ready data, what surprises them most?Topic 4 - Where is the intersection of file data, metadata, and RAG systems that augment a company’s AI experience with their own data?Topic 5 - People talk about AI governance, but isn’t most AI governance actually data governance?Topic 6 - Are today’s enterprise file systems designed for machine consumers (AI Agents) instead of human consumers?Topic 7 - What are the economics of data, in your world, as it relates to AI?Topic 8 - What’s next for enterprise file platforms?FEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
Transcribe →Are companies giving away their secrets to AI?
Jul 500:28:40Tap to summarizeSUMMARY: Are CEO's frustrated with the lack of control, costs and sovereignty of their AI environments? SHOW: 1042SHOW TRANSCRIPT: The Enterprise AI Show #1042 TranscriptSHOW VIDEO: https://youtu.be/xgQv8WP-DNISHOW SPONSORS:ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!Nasuni - Activate your data for AI and request a demoSHOW NOTES:Palantir and NVIDIA partnership (June 2026) - first 11 minutesPalantir CEO (Alex Karp) on CNBC“The VPC Privacy Illusion - Why Private LLMs still expose your data”The biggest mistake organizations make isn’t choosing the right model, it’s focusing on models at all (via LinkedIn)There’s a level of unhappiness and distrust of the frontier labs from CEOsThere needs to be an application layer on top of LLMs (e.g. “harness”, Palantir Ontology)This application layer prevents the LLMs from learning your business from your data“Alpha” is business differentiation (ability to outperform the market)He questions why the frontier model labs are charging by tokens and not outcomes (questions the entire AI business model)He questions “the true cost” of AI outputs He claims that CEOs are now concerned about frontier labs entering the business of the customers - brings up an interesting misunderstanding of how interacting with LLMs works (“we’re safe, it’s deployed in our VPC”)FEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
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