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Nikhar
Shah
Product Data Science Lead
J.D. Power
Nikhar Shah is a Principal Data Scientist and AI practitioner with 10+ years of experience building and deploying production-grade machine learning and generative AI systems in regulated industries. He has led enterprise AI initiatives at J.D. Power, LPL Financial, Mercedes-Benz Financial, and Nestlé — including a firewall-hosted LLM platform serving 18,000+ financial advisors and compliance-critical anomaly detection systems that reported directly to government regulators. Nikhar holds a Master's in Data Science from Harvard University and mentors AI/ML practitioners at MIT Professional Education. He focuses on making AI deployments trustworthy, secure, and measurably impactful in high-stakes environments.
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28 January 2027 12:15 - 13:00
Panel discussion | Human oversight and LLMs: Ensuring trustworthy behavior
In this panel discussion, experts examine how human oversight plays a critical role in ensuring large language models behave safely, ethically, and reliably. They'll explore emerging frameworks for evaluation, red teaming, and governance that help mitigate risk and bias in real-world deployments. The conversation will highlight practical strategies for maintaining accountability and trust as LLMs become deeply integrated into enterprise and public-sector systems.
28 January 2027 09:30 - 10:00
Surveys to smarter decisions: Using LLMs to extract insights from customer feedback at scale
This talk explores the operational and technical challenges of deploying LLMs for production survey analysis in regulated environments. Drawing on a real case study from a Fortune 500 financial services firm, it examines what it takes to move from LLM notebooks to enterprise-scale systems: reducing feedback analysis from 3–4 weeks to 2–3 days, achieving 92% consistency, and delivering business impact.