Ensuring quality as we adopt Open Architecture and Open Formats

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How is Open Architecture transforming the way we prepare data for AI?

In this episode, we dived into open architectures and open data formats—critical enablers for organizations embracing AI at scale. From ensuring data quality to tackling migration challenges, we unpacked everything you need to know to make your data AI-ready.

Co-Host -- Mona Rakibe, Co-Founder of Telmai

Our expert panel:
🔥 Piethein Strengholt – Chief Data Officer, Microsoft Netherlands, and author of Data Management at Scale
🔥 Scott Haines – Distinguished Software Engineer, Nike, known for expertise in streaming and data lakes
🔥 Pankaj Yawale – Director of Data Architecture, ZoomInfo, leading innovations in large-scale data environments

What’s on the agenda?
✅ Why open architecture matters for AI
✅ Decoupling systems: Business value and measurable impact
✅ Architectural changes needed for next-gen AI systems
✅ Ensuring data quality and governance in open environments

We also highlighted AWS's latest advancements with Iceberg, which simplify data lake analytics and metadata management.

💡 Whether you’re an AI leader, data architect, or practitioner, this session will leave you with actionable strategies to elevate your data game!

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