Building Scalable and Responsible Enterprise AI with Open‑Source Foundations

Hi All,
The Amherst College Data Science Initiative (https://www.amherst.edu/about/science_at_amherst/data-science-initiative) is organizing a talk about a practical strategy for establishing enterprise-grade AI using open‑source software.

Speaker: Serdar Kadioglu (Fidelity)

Title: Building Scalable and Responsible Enterprise AI with Open‑Source Foundations

Abstract:
Artificial Intelligence is reshaping how organizations make decisions, serve customers, and build new products. Yet many enterprises still struggle to move from isolated experiments to AI systems that are reliable, scalable, and aligned with their values.
This talk outlines a practical strategy for establishing enterprise-grade AI using open‑source software. I’ll walk through five pillars that guide successful AI adoption: learning from historical data, improving systems through real‑time feedback, making intelligent decisions at scale, creating useful automated assistants, and ensuring responsible and transparent AI practices.
Through a suite of open-source tools, we’ll explore how modular and interoperable tools can help organizations innovate faster while maintaining fairness, accountability, and long‑term sustainability.

Bio:
Serdar Kadioglu is a Group Vice President in the AI Center of Excellence at Fidelity Investments and an Adjunct Associate Professor in the Department of Computer Science at Brown University. He previously led the Advanced Constraint Technology group at Oracle and worked at Adobe. He established strategic collaborations across industry and academia partnering with Amazon, Carnegie Mellon University, Harvard, and NVIDIA. Dr. Kadioglu's research is at the intersection of AI and Optimization with a focus on building robust and scalable products while contributing to the open-source ecosystem.

Light fancy refreshments will be served before the talk.