The Enterprise AI Show

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 demo
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
SHOW NOTES:
Links to all the AI News covered in this month’s show
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
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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 demo
OutShift by Cisco - “Scaling Out Superintelligence”  The Internet of Cognition architecture
ShareGate - 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 autonomous
Rising costs are the looming concern
Governance is a rising concern
Measurements of improvement are available, but varied
Explaining measurements is complicated
Explaining trust is more complicated
Use-cases are fragmented, but there if you apply the technology, but not always obvious
De-centralized (shadow AI) to Centralized to De-centralized (semi-controlled) 
The learning curves are very asymmetrical across teams
Not everyone has access to Mythos or GPT-5.5-Cyber (yet)
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @TheEntAIShow.bsky.social
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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 architecture
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
Nasuni - Activate your data for AI and request a demo
SHOW 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 come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

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 demo
OutShift by Cisco - “Scaling Out Superintelligence”  The Internet of Cognition architecture
SHOW NOTES:
Leaked documents show OpenAI is losing billions
Anthropic’s Fable and Mythos models banned from non-US foreign nationals
The AI layoff wave is becoming a powder keg
Professors says AI-related job losses are inevitable
THESIS: 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 up
Make yourself invaluable
Focus on what you can control
Be an expert in something
When in doubt, get closer to people and how money is made
When things don’t make sense, focus on fundamentals
Markets can be irrational way longer than you can be solvent
Try and think a couple steps ahead
FEEDBACK?
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Bluesky: @TheEntAIShow.bsky.social
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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 demo
OutShift by Cisco - “Scaling Out Superintelligence”  The Internet of Cognition architecture
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
SHOW NOTES:
Project Lightwell (Red Hat and IBM)
Athena (Chainguard)
Anthropic Project Glasswing
OpenAI GPT 5.5-Cyber
THESIS: 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 Moment
The scope of open source security and support
Patches, disclosures and upstream open source
Clearinghouses, EOs, Laws and Communities
Remediation - Build vs. Buy
Part 2
How fast can you get from Patch to Production?
Mitigation before patching
Fast path and stable patch pipelines?
Automation in patching vs. automation in deployment
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow