The Enterprise AI Show

SUMMARY: 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: 1048
SHOW TRANSCRIPT: The Enterprise AI Show #1048 Transcript
SHOW VIDEO: https://youtu.be/1IHXNrYlYCA
SHOW SPONSORS:
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
Nasuni - Activate your data for AI and request a demo
Topic: When will the models/harnesses be good enough?
Why now? Benchmark Maxxing - cost to build/host/maintain 1+ trillion parameter model
Past: The “wow” moments in versions really stopped around GPT4… (maybe?)
Present: Race to the top/bottom, millions spent to gain SOTA for a few days
Future: Will the pendulum swing back? Will bigger/faster always rule?
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

SUMMARY: 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: 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 demo
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
RESOURCES:
Outlever
State of Brand Article
KEY TOPICS:
AI's impact on trust and brand perception
Operational efficiencies and AI workflows
Challenges of AI implementation and guardrails
Measuring ROI and costs of AI
The importance of brand consistency in AI interactions
TAKEAWAYS

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 come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

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 demo
RESOURCES:
Liminal AI
Steven Walchek - LinkedIn
KEY TOPICS:
Horizontal security for generative AI
Data privacy and compliance in AI
Security layers in AI deployment
Agentic AI and behavioral automation
Future industry trends in AI security
TAKEAWAYS
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 come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

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 demo
ShareGate - 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 allocation
Present: TokenMaxxing, the move from per-seat to per-token pricing
Future: 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 come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

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 demo
SHOW NOTES:
Topic: Own AI or Rent AI?
Why now? Fable 5 and GPT 5.6 get restricted in the US
Past: Private Cloud (on-prem/server huggers) vs. Public cloud vs. *gasp* hybrid cloud
Present: OSS Models vs. Big API models
Future: What happens when the subsidies go away, and rational business practices hit the industry??
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow