KEYNOTE
Over the last couple of years, the capabilities of large language models (LLMs) and Generative AI have evolved at a breakneck pace, with enterprise adoption accelerating rapidly. These technologies are not only driving automation but are fundamentally challenging traditional approaches to how data is engineered, managed, and consumed.
We are entering a new paradigm—one where emerging ways of working are redefining what’s possible across the enterprise data ecosystem. Join us for this Keynote as we explore what this transformation means for data engineers and business leaders. We’ll examine real-world use cases, the evolving skill sets needed to thrive, and how teams can adapt to stay ahead in a rapidly shifting landscape.
Day 1 : Main Hall | 11:20 - 11:50 am
TECH TALK
This session explores how Generative AI is tackling long-standing challenges such as source data understanding and gaps in data catalogs. It highlights how GenAI is automating tasks like data profiling, metadata generation, schema design, and mapping, unlocking new levels of speed and accuracy. Real-world examples from Tiger Analytics illustrate the impact, along with a perspective on the evolving role of GenAI as a co-pilot in building scalable, business-aligned data architectures. Join the session to see how your data initiatives can benefit from GenAI in action.
Day 1 : Hall 2 | 10:50 - 11:20 am
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