Speaker

Anusha Adige

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Data Risk Lead EY

Anusha Adige is a seasoned data management and strategy leader, currently spearheading the data risk proposition for UK Financial Services at Ernst & Young LLP in Edinburgh. With a focus on designing and embedding sustainable methodologies, Anusha enables organisations to minimise data risk and unlock the full value of their data assets. She advocates that a robust data risk framework is essential for building trustworthy AI systems and realising their potential in a secure and ethical environment.

A recognised voice in the industry, Anusha regularly shares her insights at leading conferences and forums. She recently earned the GARP Risk and AI certification, reinforcing her commitment to staying at the forefront of innovation and governance in data and AI. Her prior roles at NatWest and ICICI Bank have equipped her with deep expertise in data remediation and strategic advisory, delivering measurable impact across complex programmes.

Beyond her professional achievements, Anusha is a passionate advocate for mentorship and diversity. She actively supports initiatives that empower women in banking and finance, fostering inclusive growth and leadership. Join her to explore forward-thinking strategies for AI enabled business transformation and data risk mitigation.

Bio from: Big Data LDN 2025

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Agents Among Us: Trust, Transformation & Accountability in the Age of Agentic AI

2025-09-24 · Big Data LDN 2025

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)

AI/ML LLM

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.