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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 (https://docs.goog
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 Enterpris
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 Sh
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 (https://docs.google.com/document/d/1pnwyMVqqiMRPiAr4CAG8BPtrUJ6-6yq
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 (https://docs.google.com/document/d/1d6620Ev
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 (https://
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 Transc
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
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 T
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
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 Transc
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 #103
Cerebras is disrupting the market with Fast Inference
SUMMARY: After the first successful AI IPO of 2026, we dig into what makes the Cerebras WSE architecture unique in the market for fast inference. GUEST: Andy Hock (https://www.linkedin.com/in/andyhock/), Chief Strategy Officer at Cerebras A
How will team collaboration evolve within Enterprise AI?
SUMMARY: The biggest enterprise AI question is which organization can most effectively operationalize, govern, and economically scale AI agents across the business. SHOW: 1032 SHOW TRANSCRIPT: The Enterprise AI Show #1032 Transcript (https:
AI News of the Month - May 2026
SUMMARY: Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, Software Defined Talk and Failover Media) discuss the biggest AI news stories from the month of May, 2026. SHOW: 1031 SHOW TRANSCRIPT: The Reasoning Show #1031 Transcript
Why Enterprise AI Economics Are Changing
SUMMARY: The biggest enterprise AI question may no longer be Which model is smartest? Instead, which organization can most effectively operationalize, govern, and economically scale AI agents across the business?’ SHOW: 1030 SHOW TRANSCRIPT
Can AI Agents be held Accountable?
SUMMARY: As AI Agents are being brought into complex, regulated workflows, we explore the importance of accountability and accuracy, and how platforms and harnesses accomplish that goal. Can the CFO really fall in love with AI? GUEST: Ram V
Enabling AI Governance for M365
SUMMARY: As AI agents become embedded in everyday work, Microsoft 365 governance is no longer a back-office compliance exercise. it’s the “traction control” that lets enterprises innovate faster without losing control of their data, identit
An AI Market Analysis, May 2026
SUMMARY: RIP Reasoning, hello The Enterprise AI Show. We do a point-in-time analysis of the AI market for May 2026, across 11 major categories. SHOW: 1027 SHOW TRANSCRIPT: The Enterprise AI Show #1027 Transcript (https://docs.google.com/doc
AI, Data Centers, and the Power Crunch
SUMMARY: We explore one of the most overlooked bottlenecks in the AI boom: energy and infrastructure and why power availability is becoming the limiting factor. GUEST: Wannie Park (https://www.linkedin.com/in/wanniepark/), Founder/CEO of PA
AI News of the Month for April 2026
SUMMARY: Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, Software Defined Talk and Failover Media) discuss the biggest AI news stories from the month of April, 2026. SHOW: 1025 SHOW TRANSCRIPT: The Reasoning Show #1025 Transcrip
The 2026 AI Draft
SUMMARY: Draft guru Brandon Whichard (Software Defined Talk) joins us for the inaugural AI Draft, where we predict the next year of AI winners, losers, trends, and headlines. GUEST: Brandon Whichard, Software Defined Talk (https://www.softw
Halt & Retool: Rewriting Software Development in the Age of AI Agents
SUMMARY: Exploring how to fully embrace AI-driven, agent-based software development, resulting in dramatically increased productivity and faster feature delivery. It highlights a broader shift in engineering—from writing code to orchestrati
The Zero-CVE Mirage: Hardening Software in the Age of AI Attacks
SUMMARY: How software development is rapidly evolving in the age of AI and automation. Matt Moore shares how his team is rethinking secure software supply chains, scaling infrastructure, and safely integrating AI agents into development wor
The Grid’s Breaking Point: Can AI Save the Infrastructure It’s About to Crash?
SUMMARY: How real-time power flow optimization at the edge is helping data centers and the electrical grid handle surging AI energy demands more efficiently. By unlocking hidden capacity and dynamically managing power systems, we explain ho
Shadow AI is Faster Than Your Governance: Why Guardrails are Failing
SUMMARY: Shadow AI is growing much faster than known AI adoption across businesses. How can IT teams get Shadow AI under control? GUEST: Uri Haramati (https://walkersands-dot-yamm-track.appspot.com/25qlSz1gYNfBAVt5w7SM8mbf9DlDe6Rv7iOGA7ih6g
The Junior Dev Crisis: Who Inherits the Code When AI Does the Work?
SUMMARY: Have we reached a point where coding is a solved problem? And if so, what are the downstream effects on companies that need software to differentiate their business? GUEST: Brandon Whichard (https://www.linkedin.com/in/brandonwhich
RAG Won’t Save Your Messy Data: The Brutal Truth About AI Reliability
SUMMARY: The RAG (Retrieval Augmented Generation) pattern is one of the most frequently used to augment LLMs with context-specific information. Let’s explore RAG. GUEST: Roie Schwaber-Cohen (https://www.linkedin.com/in/roiecohen/), Head of
The Productivity Paradox: Why More AI Code is Slowing Down Shiptimes
SUMMARY: Discover how AI is transforming software development and what it means for engineering leaders. GUEST: Jeff Keyes (https://www.linkedin.com/in/jeffdkeyes/), Field CTO at AllStacks (https://www.allstacks.com/) SHOW: 1017 SHOW TRANSC
The Production Chaos: Why AI-Generated Code is Breaking Traditional SRE
SUMMARY: With the explosion of AI-generated code and applications, the modern SRE requires an AI-native approach to managing complex systems. GUEST: Anish Agarwal (https://www.linkedin.com/in/anish-agarwal-io/) - CEO/Cofounder of Traversal
