The Enterprise AI Show

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 

  1. 8小時前

    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

    31 分鐘

  2. 3日前

    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

    29 分鐘

  3. 6月24日

    A Day in the Life of a Forward-Deployed Engineer

    SUMMARY: What does a Forward-Deployed Engineer actually do? And what about deploying AI Harness? Let’s dig into the real-world with these evolving AI concepts and technologies.  SHOW: 1039 SHOW TRANSCRIPT: The Enterprise AI Show #1039 Transcript SHOW VIDEO: https://youtu.be/QY0fqu2O84M SHOW SPONSORS: OutShift by Cisco - “Scaling Out Superintelligence”  The Internet of Cognition architectureShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!Nasuni - Activate your data for AI and request a demoSHOW NOTES: Mozilla Thunderbolt launched Mozilla Thunderbolt (homepage) Topic 1 - Welcome to the show, tell us a bit about your background and what you focus on these days. Topic 2 - Let’s talk about the role of Forward Deployed Engineer, it’s being talked about a lot, but you’re living in that world now. What problems are FDEs usually tasked with trying to solve, or new things to implement? Topic 3 - We’ve seen other roles (DevOps, PlatformEng, etc.) that evolved from other roles or skills. What type of background lends itself to success in FDE? What skills are needed going forward? Topic 4 - You’re also working on some AI harness implementations. What can you tell us about those challenges and the technologies behind the harness? Topic 5 - At what point does an AI harness make sense for a company? What types of AI challenges typically require those next steps?  Topic 6 - Working in the middle of this evolving AI space, what are some perspectives you’ve gained over the last 6-12 months? What do you wish you knew ahead of time?  FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

    34 分鐘

  4. 6月21日

    Chaotic AI Markets: Focus on what you can control

    SUMMARY: On Father's Day, how would you explain some of the volatility of the AI market to your father? What advice might he give you to navigate the ups and downs and uncertainties? SHOW: 1038 SHOW TRANSCRIPT: The Enterprise AI Show #1038 Transcript SHOW VIDEO: https://youtu.be/T2ZIYLpl_cE SHOW SPONSORS: ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!Nasuni - Activate your data for AI and request a demoOutShift by Cisco - “Scaling Out Superintelligence”  The Internet of Cognition architectureSHOW NOTES: Leaked documents show OpenAI is losing billionsAnthropic’s Fable and Mythos models banned from non-US foreign nationalsThe AI layoff wave is becoming a powder kegProfessors says AI-related job losses are inevitableTHESIS: On this Father’s Day, with an AI market that often times doesn’t make any sense, I thought about the type of advice that my father gave me over the years and how it would apply to this time of significant change.   Show up, keep up and shut upMake yourself invaluableFocus on what you can controlBe an expert in somethingWhen in doubt, get closer to people and how money is madeWhen things don’t make sense, focus on fundamentalsMarkets can be irrational way longer than you can be solventTry and think a couple steps aheadFEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

    23 分鐘

  5. 6月17日

    AI Cyber is expanding a Vulnerability Gap

    SUMMARY: As tools like Mythos create new AI-cybersecurity concerns, CIOs and CISOs need to be prepared for two challenges: Security Remediation and Patch to Production acceleration.  SHOW: 1037 SHOW TRANSCRIPT: The Enterprise AI Show #1037 Transcript SHOW VIDEO: https://youtu.be/H5KxoiEIfUo 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: Project Lightwell (Red Hat and IBM)Athena (Chainguard)Anthropic Project GlasswingOpenAI GPT 5.5-CyberTHESIS: Major initiatives are forming to help enterprise organizations combat security vulnerability threats found or created using new AI-cyber tools such as Anthropic Mythos. What are the key considerations, and what additional steps do organizations need to take to be advantaged by these capabilities?  Part 1 The Breaking Point and the Mythos MomentThe scope of open source security and supportPatches, disclosures and upstream open sourceClearinghouses, EOs, Laws and CommunitiesRemediation - Build vs. BuyPart 2 How fast can you get from Patch to Production?Mitigation before patchingFast path and stable patch pipelines?Automation in patching vs. automation in deploymentFEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

    26 分鐘

  6. 6月12日

    Do CIOs need to create an Enterprise AI Harness?

    SUMMARY: How can CIOs balance innovation and control as they roll our AI capabilities across their organization. How can they balance onboarding, experience, security and flexibility?  SHOW: 1036 SHOW TRANSCRIPT: The Enterprise AI Show #1036 Transcript SHOW VIDEO: https://youtu.be/ZgkMF7G3Yfo SHOW SPONSORS: OutShift by Cisco - “Scaling Out Superintelligence”  The Internet of Cognition architectureShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!Nasuni - Activate your data for AI and request a demoSHOW NOTES: Andy Weir (The Martian) on Eps. 193Systems of Record Won the SaaS Era - Clearinghouses Will Win the Agents EraHarness Engineering is where Enterprise AI becomes real THESIS: It comes up as different control points, but CIOs are ultimately trying to figure out how to get the value from Enterprise AI while delivering a set of consistency across different teams and use-cases. Let’s explore what this “Enterprise Harness” is starting to look like.  Enterprise Clearinghouse Enterprise Intelligence (a.k.a. Middleware)Enterprise Catalog - Models as a Service, Agents as a ServiceEnterprise Skills or Shareable Prompt HarnessesSymantec Routing to ModelsAI Gateway ControlsFEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

    23 分鐘

  7. 6月10日

    Should CIOs have a backup plan for AI?

    SUMMARY: If the cost of public AI continues to rise, because of various market shortages, should CIOs start looking at backup plans to better own their AI journeys and futures? SHOW: 1035 SHOW TRANSCRIPT: The Enterprise AI Show #1035 Transcript SHOW VIDEO: https://youtu.be/ngBBpP2Lgdo SHOW SPONSORS: ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!Nasuni - Activate your data for AI and request a demoOutShift by Cisco - “Scaling Out Superintelligence”  The Internet of Cognition architectureSHOW NOTES: THESIS: Between pending IPOs (Wall St. demands), high user-demand, GPU/TPU shortages, Data Center shortages, Model prices increasing (open models fading away), the cost of using AI is going to get more expensive over time. Should CIOs start thinking about a Backup plan to their current AI adoption that has lower cost alternatives? Topic 1 - Assuming you could get access to GPUs/TPUs/Accelerators, and suitable data center space to host them, what would be your thinking as a CIO if you felt like you needed to own some aspect of your AI roadmap/journey?  Topic 2 - Assuming the normal “Shadow AI” backlash that you’d receive for offering something that wasn’t “frontier” level, how would you go about trying to communicate that within your organization? Topic 3 - What metrics or KPIs would you initially target to try and get buy-in that your approach was acceptable and moving towards the company goals? FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

    49 分鐘

  8. 6月5日

    What are the incentives to share AI learning curves with teammates?

    SUMMARY: When we get to the end of 2026, how will enterprise companies be measuring the success of their AI projects? And how well will their teams be sharing their AI learning curves? SHOW: 1034 SHOW TRANSCRIPT: The Enterprise AI Show #1034 Transcript SHOW VIDEO: https://youtu.be/TvIFwNN-6ck SHOW SPONSORS: Nasuni - Activate your data for AI and request a demoOutShift - “Scaling Out Superintelligence”  The Internet of Cognition architectureShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!SHOW NOTES: Why AI Economics are changingHow will team collaboration evolve with Enterprise AI? Topic 1 - How do we measure AI-adoption success?  Number of workloads?Financial metrics (Spend, ROI, Costs-Saved, etc.)?Speed improvements?People-level?Topic 2 Right now the AI tools are very individual-centric  The machinery to share, even at the basic enterprise-level, is very difficultThe experience to share is non-deterministic, just as everyone’s working style is different.Topic 3 - The motivation to share is still unknown.  How do you encourage collaboration when so many companies are laying off people, or the specter of that happening is growing?What was the motivation before (team goals?) and how does that change now? People don’t want to be monitored, so how does a manager have visibility?What happens when companies remove the managers (“the counters”)? FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

    21 分鐘
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關於

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 

資料

  • 創作者
    Massive Studios
  • 活躍年份
    2011年 - 2026年
  • 單集
    1.1K
  • 分級
    兒童適宜
  • 版權
    © 2026 Massive Studios
  • 節目網站
    The Enterprise AI Show

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