How do you turn GenAI ambition into a roadmap aligned with business goals, governance, and delivery capability? What leadership models, data foundations, and ethical frameworks enable responsible, scalable adoption? How can self-assessments reveal gaps in readiness across data, tech, and strategy? What role do platforms like Microsoft Fabric and Azure OpenAI play in delivering trusted, real-time access and deployment at scale? And how do CI/CD, observability, and agentic architectures underpin enterprise-grade GenAI? These questions are central to driving innovation and shaping data strategy at the highest level.
For CDOs, CIOs, Chief Architects and senior data leaders in engineering, governance and advanced analytics, this in-person workshop offers expert-led sessions, peer discussions, demos and guided self-assessments designed to give you a clear understanding of where your organisation stands, what to prioritise next and how Microsoft funding could support your GenAI strategy.
What you’ll take away.
AI Use Case Prioritisation: Learn how to identify and prioritise GenAI use cases so that data becomes an enabler, not a blocker.
Lean Tech Stack Insights: Discover the minimal data technology needed to fully exploit GenAI—less than you might expect.
Organisational Readiness: Understand the data responsibilities and capabilities your organisation needs to support GenAI.
Team Impact Awareness: Gain clarity on how GenAI affects the value delivery capacity of your data team.
AI Maturity Assessment: Use a readiness scale to evaluate your organisation’s AI data maturity.
Funding Opportunities: Explore your eligibility for Microsoft funding to support your GenAI strategy.
Article Session-Data-Primer-AI-Session-2025
Save your seat: Data Primer for GenAI Workshop
The Shard, SE1 9RY | 09:30 - 14:30
Agenda.
09:30 Arrival
10:00 Welcome & Microsoft Keynote
10:30 Creating and Managing GenAI Roadmaps
10:45 Self-Assessment: Leadership, Ownership & Ethical Governance
11:10 The Ultimate AI Tech Stack
11:40 Break & Informal Q&A
11:55 Self-Assessment: Data Management & Governance
12:20 Demo: GenAI In Action
12:45 Lunch
13:15 Self-Assessment: Technology - AI Lifecycle & Deployment
13:40 Our View: How To Build for AI
14:30 Recap & Next Steps