Day 3: Data & AI Sessions
Access the full recordings and session materials from our Data & AI Day including key insights you can apply right away.
- What You’ll Get from These Sessions
- Full recordings
- Slide decks
- Practical use cases
- Actionable insights
What’s Happening in AI Right Now
Understand where AI is heading and why the focus is shifting from experimentation to outcomes.
- Why experimentation alone is not enough
- What differentiates organizations seeing results
- How to assess your AI maturity
- Where trust and knowledge play a role
Microsoft AI Platform — What’s New and What Matters
Explore the latest across Copilot, Agent 365, and the evolving Microsoft AI ecosystem.
- What Copilot Wave 3 enables
- How agent-based workflows are changing productivity
- What Work IQ represents for organizations
- How multi-model AI impacts performance and flexibility
Governing the AI Platform at Scale
Establish control, visibility, and security across AI tools, agents, and data.
- Entra backup strategies
- Why retiring legacy Exchange matters
- What a cloud-only directory looks like
- How simplified identity improves security posture
Data for AI — Secure, Useful, and Cost-Aligned
AI outcomes depend on data quality, access, and governance.
- What data readiness looks like in practice
- How to improve data quality and access
- How to govern AI data in Fabric and Power BI
- How to align cost and architecture to actual needs
Power Platform, Agents, and App Modernization
Build and automate faster using Power Platform, Copilot Studio, and AI-driven development approaches.
- How app development is evolving
- What “vibe coding” means in practice
- How Power Platform fits alongside Copilot
- Where governance still matters in low-code
Operating and Scaling an AI Program
Move beyond pilots with structure, governance, and measurable outcomes.
- How to structure an AI program
- How to support adoption across teams
- How to measure ROI and impact
- How to operationalize AI long term
Start Exploring Data & AI Sessions
What Attendees Said
- Where do you find yourself on your AI journey?
Experimenting — 55%
Learning — 17%
Standardizing — 20%
Innovating — 8%
Where are organizations on their AI journey?
Attendees are still early in their AI journey, with most focused on learning, experimenting, and finding the right path to scale.
- What do you see as your biggest challenge to scale AI?
Time or budget— 83%
Lack of use cases — 5%
Lack of sponsorship — 12%
What’s blocking AI scale?
Time and budget remain the biggest barriers, showing that AI success depends on clear prioritization, sponsorship, and the right operating model.
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