2026 NJBDA 13th Annual Symposium
Schedule
Wed May 20 2026 at 08:30 am to 04:00 pm
UTC-04:00Location
Rowan University - Chamberlain Student Ctr | Glassboro, NJ
About this Event
The New Jersey Big Data Alliance Symposium is New Jersey's premier big data and artificial intelligence conference, consistently attracting 200+ attendees from industry, government, and academia.
It is a collaborative forum for information sharing, networking, research, and discovery of the importance of a sustainable AI ecosystem. This dynamic symposium will delve into strategies for creating a long-term, balanced AI environment that aligns human, technological, and ethical dimensions. Achieving this goal requires collaboration among academia, government, and industry to ensure that AI innovation remains inclusive, responsible, and environmentally conscious. Outstanding keynote speakers, industry and academia expert panels, research workshops and more will offer innovative and insightful information!
Donβt miss this opportunity to connect, learn, and lead the charge in building a future where balanced and sustainable AI ecosystems can contribute to remarkable success for all! ( https://njbda.org/2026-symposium/)
Agenda
π: 08:30 AM - 09:00 AM
Registration
π: 09:00 AM - 09:45 AM
Welcome
π: 09:45 AM - 10:30 AM
Keynote Address
Info: Keynote Speaker
π: 10:45 AM - 12:00 PM
Breakout Sessions
Info: There will be 3 main breakout sessions, the first is the Research Presentations, which is divided into three subcategories:
π: 12:00 PM - 01:00 PM
Lunch, Networking, Exhibits
Keynote Address : From Models to Mindsets: Building the Augmented Enterprise
Info: From Models to Mindsets:
π: 01:45 PM - 02:30 PM
Academic Panel Discussion: The Impact of AI on Higher Education
Info: The Impact of AI on Higher Education
π: 02:45 PM - 03:45 PM
Industry Panel Discussion
π: 03:45 PM - 04:00 PM
Closing Remarks
Where is it happening?
Rowan University - Chamberlain Student Ctr, 201 Mullica Hill Road, Glassboro, United StatesEvent Location & Nearby Stays:
USD 0.00 to USD 81.88





