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. -3 ч

    AI's Impact on Trust and Brand

    SUMMARY: In this episode, Brian Gracely interviews 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

  2. -3 дн.

    What is a Behavioral Agent Automation Platform?

    SUMMARY: 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: 1046 SHOW TRANSCRIPT: The Enterprise AI Show #1046 Transcript SHOW VIDEO: https://youtu.be/nVte_ZKDID4 SHOW 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 securityTAKEAWAYS Security 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 introduction 02:09 Steven's background and journey in tech 03:54 The core problem of AI security in regulated industries 07:45 Data privacy concerns and industry challenges 12:01 Liminal's approach to AI security and compliance 15:52 Security at the application layer and network layer 20:02 Agentic AI, behavioral automation, and observability 30:04 Future trends and industry outlook 31:46 How to connect with Liminal and closing remarks FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

  3. 15 июл.

    Does FinOps need an update for the AI world?

    SUMMARY: 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: 1045 SHOW TRANSCRIPT: The Enterprise AI Show #1045 Transcript SHOW VIDEO: https://youtu.be/Plb88y-IkZY SHOW 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

  4. 12 июл.

    Buy, Build or Rent your AI?

    SUMMARY: 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: 1044 SHOW TRANSCRIPT: The Enterprise AI Show #1044 Transcript SHOW VIDEO: https://youtu.be/vcroGCXd3N4 SHOW 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

  5. 8 июл.

    Unstructured Data in an AI World

    SUMMARY: 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: 1043 SHOW TRANSCRIPT: The Enterprise AI Show #1043 Transcript SHOW VIDEO: https://youtu.be/OAqnuhorMJ4 SHOW 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 Nasuni Topic 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

  6. 5 июл.

    Are companies giving away their secrets to AI?

    SUMMARY: Are CEO's frustrated with the lack of control, costs and sovereignty of their AI environments?  SHOW: 1042 SHOW TRANSCRIPT: The Enterprise AI Show #1042 Transcript SHOW VIDEO: https://youtu.be/xgQv8WP-DNI SHOW 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

  7. 1 июл.

    AI News of the Month - June 2026

    SUMMARY:  Brian Gracely (@bgracely) and Aron Delp (@aarondelp) discuss the biggest AI news stories from the month of June, 2026.  SHOW: 1041 SHOW TRANSCRIPT: The Enterprise AI Show #1041 Transcript SHOW VIDEO: https://youtu.be/SXmPOgE5jGk SHOW SPONSORS: Nasuni - Activate your data for AI and request a demoShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!SHOW 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

  8. 28 июн.

    Enterprises are concerned about AI Costs, Governance and Trust

    SUMMARY: As AI within the Enterprise matures, we look at 10 concerns and challenges that are still causing Chief AI Officers to worry about success in the future.  SHOW: 1040 SHOW TRANSCRIPT: The Enterprise AI Show #1040 Transcript SHOW VIDEO: https://youtu.be/RyB4m17YK_4 SHOW SPONSORS: Nasuni - Activate your data for AI and request a demoOutShift by Cisco - “Scaling Out Superintelligence”  The Internet of Cognition architectureShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!SHOW NOTES: THESIS: After spending time with a number of Enterprise companies, what are a list of challenges and concerns they still have in implementing GenAI across a broad set of use-cases within the Financial Services industry? Everybody started with what was available (e.g. CoPilot)Enterprise implementations (now) aren’t autonomousRising costs are the looming concernGovernance is a rising concernMeasurements of improvement are available, but variedExplaining measurements is complicatedExplaining trust is more complicatedUse-cases are fragmented, but there if you apply the technology, but not always obviousDe-centralized (shadow AI) to Centralized to De-centralized (semi-controlled) The learning curves are very asymmetrical across teamsNot everyone has access to Mythos or GPT-5.5-Cyber (yet)FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

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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 

Информация

  • Автор
    Massive Studios
  • Годы выхода
    2011 - 2026
  • Выпуски
    1,1 тыс.
  • Ограничения
    Без ненормативной лексики
  • Авторские права
    © 2026 Massive Studios
  • Сайт подкаста
    The Enterprise AI Show

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