Generative AI can play a transformative role in modern data engineering and management by automating end-to-end data pipelines, testing, governance, and insights generation. GenAI algorithms are increasingly being integrated as co-pilots and LCNC (Low-Code/No-Code) alternatives to enterprise data platforms, heralding a shift in how data practices think, engage, train, and execute.

In this discussion, we will explore how enterprises can unlock the full value of their data through advanced, human-centric engineering strategies. The focus will be on accelerating digital transformation while maintaining robust frameworks for trust, security, and privacy. We will also examine how optimising data ecosystems and integrating AI-driven solutions can drive strategic business outcomes.