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Practitioner Workshop

Move from concepts to action by working through real-world Data & AI challenges, decisions and use cases.

What it covers

  • Assess Your Data Landscape — sources, platforms, ownership, quality and accessibility
  • Identify AI Opportunities — distinguish meaningful use cases from “AI for AI's sake”
  • Design the Data Foundation — architecture, platforms, pipelines and data products
  • Data Products & Context — make data discoverable, understandable and reusable
  • Governance by Design — build quality, lineage and governance into delivery
  • From Prototype to Production — understand what it takes to operationalize AI
  • Prioritization & Roadmapping — decide what to do first and what can wait

Practical exercise

Bring a real business problem. We'll map the data, identify gaps, assess AI potential and develop a practical path forward.

Format details

DurationHalf day or full day
Who it's forData leaders, architects, product owners, technology teams and practitioners
DeliveryIn-person or remote
StyleHands-on workshop, group exercises, case studies and facilitated problem-solving
OutcomeA practical assessment and a set of prioritized actions for your chosen Data & AI challenge

Bring a challenge. Let's work through it.

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