Building agents across industries: Examples from financial services

Thursday, November 21
5:15 PM - 5:45 PM Greenwich Mean Time
Duration 30 minutes
THR664
Session Ended
Theater
In Chicago Only

Industry partners have a unique opportunity to enable agent experiences that address critical jobs-to-be-done across domains. Better precision and higher quality outcomes can be achieved when agent experiences are built with a deep understanding of industry- and role-specific needs. In this session, we will provide three demos focusing on industry components that accelerate agent experiences for customers and partners: industry AI model enablers, an agent for financial insights, and a new Teams app for financial services meeting preparation.

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Profile picture of Jeremy Reynolds

Jeremy Reynolds

Principal Group Applied Scientist Manager
Jeremy leads a US-based applied science team responsible for developing industry-adapted generative AI systems. Before joining Microsoft, he led research labs in startup and academic environments. He has a PhD in cognitive neuroscience from Washington University and an undergraduate degree from Georgia Tech.
Profile picture of Eitam Sheetrit

Eitam Sheetrit

Data and Applied Sciences Manager
Eitam is a Data & Applied Sciences Manager at Microsoft ISVAI, holding a Ph.D. in Information Systems Engineering with a specialization in cyber-security and healthcare. Eitam leads pioneering pre-training initiatives for industry-specific language models and drives cutting-edge research in this domain.
Profile picture of Ilya Venger

Ilya Venger

Principal Product Lead - Industry AI
Ilya leads a Product Management team, focusing on Industry AI. The team defines foundations and accelerators across Microsoft Clouds for generative AI copilots across various industries, including Financial Services, Manufacturing, Retail, and more. These Industry AI copilot accelerators enable customers and partners to build high-quality copilots, extend Microsoft Copilot, and enhance them with their own structured and unstructured data.