Alex Baldenko

This master class confronts the urgent need to move beyond conceptual data readiness and establish the measurable, operational foundations—data ownership and Critical Data Elements (CDEs)—required for reliable, enterprise-wide AI adoption. Our expert practitioner will detail successful strategies for defining clear accountability and metrics around Tier 1 data assets, eliminating silos, and building a highly confident and trusted data ecosystem that directly informs strategic decision-making. By perfecting these fundamentals, attendees will gain tactical approaches to transform data governance from a cost center dedicated solely to regulatory compliance into the core engine that enables continuous innovation and prevents catastrophic "garbage in, garbage out" AI failures.

• Establishing Foundational Accountability
• Prioritizing CDEs
• Embedding Governance for Innovation
• Accelerating Reliable Data Production