This presentation will cover what areas enterprises like JPMC consider to be most important when running inferencing at scale.
The presentation will start with an overview of use cases for similar enterprises, where we foresee the majority of the needs coming from, and what enterprises can do to respond to that.
Main Takeaways:
- What makes ‘owning’ inferencing for enterprises an advantage or disadvantage
- What are use cases that will drive the most of capacity needs
- Where will the majority of the technical challenges be?
Interview:
What is the focus of your work these days?
I run product management for AI Infrastructure Platforms at JPMC
What is the motivation behind your talk?
The motivation comes from seeing the challenges everyday and the opportunity to share that with a larger audience.
Who is your presentation for?
Developers
Speaker
Dio Rettori
Head of Product for AI Infrastructure Platforms @JPMorganChase & Co, Previously @Solo.io, @Red Hat, and @Pivotal Software
A software engineer at heart, Dio Rettori has over 25 years of experience and currently leads Product for Global AI Infrastructure Platforms at JPMorganChase. He previously oversaw the firm's multi-cloud strategy and managed cloud transformation for JPMorgan’s Asset & Wealth Management division, directing multiple teams focused on driving large-scale transformation, modernizing applications, and accelerating cloud adoption. Before JPMorganChase, Dio held leadership roles at Red Hat, Pivotal, and Solo.io in product management and marketing for cloud-native solutions.
