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Kshitij Kumar

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Chief AI Officer and CEO Data-Hat AI

Kshitij (KK) Kumar is a distinguished figure in the Global AI landscape, recognised through multiple prestigious accolades including World Top 100 Chief Data Officer (2023 & 2024), Top 100 Data Influencer (2024). His recognition as exceptional talent in the United Kingdom further underscore his industry leadership. KK is an AI Agent expert, focusing on solving business problems using Agentic AI, responsibly and with high impact. As founder of Data-Hat AI, KK leads a global operation spanning Silicon Valley to London, India, and the Middle East. His team transforms complex business challenges into elegant, outcome-driven solutions, moving organisations from AI experimentation to production-grade deployment. Data-Hat AI embodies his commitment to Responsible AI, delivering measurable impact whilst maintaining the highest ethical standards. KK's expertise extends beyond technical delivery to cultural transformation. He pioneered the 'AI-Tribe' concept, establishing AI champions within organisations to drive the cultural change essential for successful AI adoption. His methodology integrates Data Mesh architecture with Responsible AI frameworks, ensuring scalable and accountable data leadership. Through Data-Hat AI, KK architects the future of Enterprise AI, consistently delivering human-centred solutions that drive real-world results across diverse industries.

Bio from: Big Data LDN 2025

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Face To Face
with Sam Khalil (ekona.ai) , Kshitij Kumar (Data-Hat AI) , David Reed (DataIQ) , Jane Smith (ThoughtSpot) , Dr. Joe Perez (NC Dept of Health & Human Services) , Anusha Adige (EY)

As AI agents become embedded in everyday workflows — from healthcare diagnostics to financial services chatbots — the line between human and machine continues to blur. This panel brings together industry leaders to tackle the tough questions:

• How do we trust AI agents in high-risk environments?

• What are the new rules of ownership and accountability when autonomous systems act on data?

• Is AI replacing or enhancing the human workforce — and how do we keep the balance right?

We'll unpack how AI agents are evolving across sectors, debate whether the current LLM paradigm is enough, and explore the new guardrails needed to futureproof agentic AI — without losing control.