AI DevSummit 2025 (May 28-29, San Francisco, CA) is the premier artificial intelligence engineering conference.
South San Francisco Conference Center (May 28-29, 2025)
2,000+ AI & ML engineers, data scientists, and AI business leaders & entrepreneurs disrupting multiple industries will converge to discuss topics, including:
Machine Learning, Bots & Language Processing, Deep AI & Neural Networks, TensorFlow, AI & ML-as-a-Service, AI for the Enterprise, Training Data, Models & Feasibility, AI Open Source, Emerging AI, and more.
AI DevSummit 2025: Call for Speakers
Thank you for your interest in speaking at AI DevSummit 2025.
All speakers will be presenting talks in person at the South San Francisco Conference Center (May 28-29).
Please be sure to complete all fields in the proposal form. All speaker decision are made by the conference's Advisory Board and all speakers must submit via this process (No Exceptions).
First Round proposal deadline is Friday, January 24, 2025, and
Final Round proposal deadline is Friday, February 28, 2025.
*Note: If your proposal gets selected in the First Round we will send you an acceptance email. If it doesn't get selected it will carry over to the Second Round. Upon conclusion of the Second Round, all applicants will receive either an acceptance or rejection email.
Advice about speaker proposals:
1- DevNetwork conferences aim for a balanced representation of backgrounds, genders, ethnicities, ages, and roles for its speakers. Towards that goal, we ask that companies submitting speaker proposals make sure to submit executives from their companies representing a balanced diversity.
2- Please review our conference tracks here: https://aidevsummit.co/conference/tracks/
We are especially looking for talks on these topics. Proposals submitted on these topics have a higher chance of being accepted.
Our accepted Speakers receive one (1) PRO Pass ($1,595 value) to AI DevSummit 2024, and an invitation to our VIP Welcome Party.
If you haven't logged in before, you'll be able to register.
Using social networks to login is faster and simpler, but if you prefer username/password account - use Classic Login.