Eitam Sheetrit
Data and Applied Sciences Manager -
MicrosoftEitam 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. Additionally, Eitam oversees Responsible AI efforts, ensuring ethical AI practices, governance, and compliance throughout the organization. As an academic lecturer, Eitam shares expertise and passion for AI with the next generation of researchers. Eitam also serves as a reviewer for top-tier conferences such as ICML, KDD, NeurIPS, and ICLR.
Session Presenting
Building agents across industries: Examples from financial services
Session Ended
Theater
In Chicago Only
Thursday, November 21
5:15 PM - 5:45 PM Greenwich Mean Time
THR664
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.
