About

AI is transforming every industry—but behind every breakthrough lies a hidden story: data. As organisations race to adopt generative AI, machine learning, and automation, the way we manage, move, and trust data is evolving faster than ever. In this session, we’ll explore the new data patterns shaping the AI era: from real-time integration and automation to the rise of lakehouse and vector databases.

We’ll examine why data quality and governance are no longer back-office concerns but central to building trustworthy AI systems. For engineers, we’ll look at how AI copilots and DataOps/MLOps automation are changing the craft of data engineering. For business leaders, we’ll show how smarter data foundations unlock faster, safer, and more scalable AI adoption. Join us to discover how evolving data practices are not just supporting AI, but redefining the future of innovation itself.

Takeaways

• Understand how AI is reshaping data patterns—from batch pipelines to real-time, AI-ready architectures
• Learn why data quality, governance, and trust are critical for building responsible AI systems
• See how automation and AI copilots are transforming data engineering workflows
• Gain practical insights on aligning business and technical teams around data to unlock AI at scale