Senthilkumar Chelatvallapil

As data-driven operations scale, data modeling has become increasingly complex and fast-paced, often clashing with the demands of agile delivery. 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.