CliffsList
AI That Ships: The Operating Model and the Serving Stack at Bartley Hall Room 1011 Villanova University

AI That Ships: The Operating Model and the Serving Stack

DataPhilly hosts talks on the operating model behind production AI and serving models with ONNX, each followed by Q&A. The evening includes networking and refreshments; the event is hosted by the Center for Business Analytics at Villanova University.

AI summary · From the event listing

October 29, 2026 · 6 PM – 8 PM

Bartley Hall Room 1011 Villanova University, 800 East Lancaster Ave ·

Keep your plans in one place. Free account.

Website on Meetup

Hear talks on moving AI from pilot projects into production and serving models with ONNX, with Q&A and networking before and after.

AI · From the event listing

Organizer’s description

📢 Join DataPhilly for our October Tech Talks to learn what it takes to get AI working in the real world, from the operating model behind it to the way models are served. Our host is Center for Business Analytics (CBA). The CBA prepares students to become analytics leaders in their organizations. We bring together industry executives and world class faculty to create curricula and experiential programming that positions students to deploy analytics education and techniques to solve increasingly complex business problems. Agenda: 6:00 - 6:30 PM: Arrival, networking, and refreshments 6:30 - 7:15 PM: Mariano Mattei: From Pilot to Production: The Operating Model Behind AI That Ships, followed by Q&A 7:15 - 8:00 PM: Vicki Boykis: Small but Mighty: ONNX + ONNXRT for Model Serving, followed by Q&A 8:00 - 8:30 PM: Networking Speakers: Mariano Mattei: From Pilot to Production: The Operating Model Behind AI That Ships Abstract: Most large enterprises have already gotten AI into production: recent survey data puts the number above seventy percent. Far fewer can say the deployment is actually working. Half of those production-stage companies cannot prove ROI, and separate research shows the share of organizations converting AI activity into real bottom-line impact is closer to six percent. This talk argues that gap is not technical, it's operational.

Hosted by Data Science Philadelphia (DataPhilly)