AI Meetup (Discover): ML in Fraud Detection, Responsible AI and ML Platform

Pre-registration is required for admission: https://www.aicamp.ai/event/eventdetails/W2023101815
(Venue security may not let you in if you don't pre-register at the link above)

Welcome to the monthly in-person AI meetup in Chicago, in collaboration with Discover.

Join us for a deep dive into the different facets of Artificial intelligence/Machine Learning and Data Science in financial services at Discover "606" Chicago office! Learn more about how we are innovating responsibly and applying these emerging technologies to the work we do every day at Discover in a series of lightning talks. Additionally, attend for the chance to network with Data Science talent across the Chicago-land area while enjoying good food and beverages and taking away some awesome swag.

Agenda:
* 5:30pm~6:00pm: Checkin, Food/drink and networking
* 6:00pm~7:00pm: Tech talks
* 7:00pm: Open discussion & Mixer

Tech Talk 1: Machine Learning in Fraud Detection and Anti-Money-Laundry at DFS
Speaker: Ben Zhang @Discover
**Abstract:**At Discover, ML plays a crucial role in fortifying fraud detection and anti-money laundering efforts. Attend this talk to learn how we harness advanced algorithms and data analytics to create effective ML models that can scrutinize intricate transaction patterns and swiftly pinpoint deviations and potential instances of fraud. In turn, these models continuously learn from historical data, adapting to emerging threats and evolving tactics. Find out how through the integration of ML, DFS strengthens its ability to identify and mitigate fraudulent activities, safeguard its financial ecosystem and promote secure transactions.

Tech Talk 2: Responsible AI in Financial Sector
Speaker: Arjun Ravi Kannan @Discover
**Abstract:**Join us as we explore the evolution of ML methodologies and discuss the importance of explainability of bias quantification and mitigation in financial services. Our conversation will begin with a brief background of various regulations in financial services and how utilizing ML creates new challenges in this space. Following this, we will have an in-depth discussion on research methods developed by Discover to address these challenges. At the conclusion of this session, you will understand how the approaches developed by Discover can be applied broadly to other areas that use ML models, such as healthcare.

Tech Talk 3: Machine Learning Platform: Why they are important for Data and Decision Science
Speaker: Shannon Schultz @Discover
**Abstract:**Sit in on this technology focused talk on how automation and scalability are key to the successful implementation of decisions that create value across our organization. During this session, we will cover why leveraging a platform approach is key in the financial industry.

Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Partners/Sponsors:
We are actively seeking sponsors to support our AI developers community. Sponsors will receive speaking opportunities, sponsor recognition, and post-event emails to our vast membership base of 10k+ in Chicago or 250K+ developers in global.

Community on Slack
- Event chat: chat and connect with speakers and attendees
- Sharing blogs, events, job openings, projects collaborations
Join Slack (search and join #chicago channel)