The Enterprise AI Show

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, identities, and workflows.
GUEST: Richard Harbridge, Principal Industry Advisor, Microsoft 365 at ShareGate
SHOW: 1028
SHOW TRANSCRIPT: The Enterprise AI Show #1028 Transcript
SHOW VIDEO: https://youtu.be/sgqg7uqErA0
SHOW SPONSORS:
ShareGate - ShareGate Protect. Microsoft 365 Governance. We got this.
Nasuni - Activate your data for AI and request a demo
SHOW NOTES:
Nearly 1 in 3 Organizations Report AI-Driven Data Exposure Incidents
Other Resources:A complete checklist for Microsoft 365 governance https://sharegate.com/guides/checklist-for-microsoft-365-governance 
Request a demo of ShareGate: Get a 1:1 ShareGate demo tailored to your Microsoft 365 use case 
Article around that divide of confidence vs reality of data exposure sharegate.com/blog/93-of-it-leaders-are-confident-in-their-ai-governance-but-nearly-1-in-3-report-data-exposure-incidents 
The State of Microsoft 365 industry report with more stats and insights - State of Microsoft 365 2025 | Free survey report – ShareGate | Sharegate (new one coming SOON)

Topic 1 - Welcome to the show. Tell us about your background, and what you focus on today. Tell us about Sharegate. 
Topic 2 - How has generative AI changed the definition of “governance” inside Microsoft 365 environments?
Topic 3 - What are organizations underestimating about AI readiness in M365?
Topic 4 - What do you think about “oversharing risk” in the era of AI assistants?
Topic 5 - What patterns are you seeing around shadow AI and unsanctioned SaaS usage?
Topic 6 - How should organizations rethink identity and access management for AI-driven workflows?
Topic 7 - What does good AI governance look like operationally—not just as a policy document?
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @EntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

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
SHOW SPONSORS:
Nasuni - Activate your data for AI and request a demo
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
SHOW NOTES:
Reviewing the Major AI Vendors 
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @EntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

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, Founder/CEO of PADO AI
SHOW: 1026
SHOW TRANSCRIPT: The Reasoning Show #1026 Transcript
SHOW VIDEO: https://youtu.be/satMQRxKQC8
SHOW SPONSORS:
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
Nasuni - Activate your data for AI and request a demo
SHOW NOTES:
1. AI’s Hidden Constraint: Power
AI growth is no longer limited only by GPUs and compute
Power generation, cooling, and grid interconnects are emerging as major bottlenecks
Data centers could account for 10–12% of North American power demand in coming years
2. Why Data Centers Are Being Reimagined
Traditional data centers were built for enterprise IT, not AI-scale workloads
AI infrastructure introduces:Massive power density needs
Advanced cooling challenges

3. The Grid Wasn’t Built for AI
Utilities are designed around peak demand scenarios
Most grids run well below peak capacity most of the time
AI workloads create volatile and unpredictable consumption patterns
Long interconnection timelines are pushing companies toward alternative infrastructure models

4. GPU Utilization Is Surprisingly Low
GPU clusters are often underutilized because of:Scheduling inefficiencies, Cooling limitations, SLA constraints
Effective GPU utilization may be as low as 12–13% in some environments

5. Cooling as a Major Optimization Layer
Legacy data centers often cool entire zones inefficiently
Pado AI aligns
AI workloads, Cooling systems, Power allocation
Workload-aware orchestration helps optimize cooling and compute efficiency

6. The Rise of “Compute Forecasting”
Pado forecasts compute demand instead of energy demand
The platform models:GPU workloads, Power consumption, Cooling requirements, SLA priorities
Goal: maximize “compute per megawatt”

7. AI Workloads Become Time-Aware
AI providers may increasingly:Shift workloads to off-peak periods
Incentivize delayed non-urgent jobs
Dynamically balance compute demand
Users are already seeing variable inference latency in real-world AI systems

8. Sustainability vs Reliability vs Profitability
Operators must balance:Uptime expectations, Infrastructure costs, Sustainability goals
Renewable adoption is growing, but reliability still drives investment in natural gas and battery-backed systems

9. Brownfield vs Greenfield Opportunities
Pado AI is focused primarily on existing (“brownfield”) data centers
Existing enterprise infrastructure can often be extended and optimized instead of rebuilt
Enterprises may gain significant AI capability without hyperscale GPU deployments
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @EntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

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 Transcript
SHOW VIDEO: https://youtu.be/Gl-49dmAgBs
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 months show
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @EntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

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
SHOW: 1024
SHOW TRANSCRIPT: The Reasoning Show #1024 Transcript
SHOW VIDEO: https://youtu.be/BjT_HKhOcRE
SHOW SPONSORS:
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
Nasuni - Activate your data for AI and request a demo
SHOW NOTES:
Brian’s Picks
Google
Major AI-centric IPO in 2026 ($1T valuation)
Amazon (cloud)
Company has more Agents that Employees
TSMC (hardware)
AMD (hardware)
Family asks about AI at the holidays
Data center issue causes a significant change to human existence
Brandon’s Picks
Anthropic
NVIDIA
Broadcom
OpenAI (frontier model)
AI Consumption-based pricing (end of subsidies)
AI Energy Demand
The end of “vibe-coding”
Sam Altman out at CEO of OpenAI
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @EntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow