AI STAC, 10 December 2024, NYC

Following the success of last year's inaugural event, AI STAC returns to NYC!

AI STAC brings together CTOs and other technology leaders responsible for developing and deploying the solution stacks supporting the finance industry's rapid adoption of AI. This is the only conference focusing on the AI infrastructure needs of finance, from banking and insurance to trading and investment.

Come to discuss infrastructure for models and data exploration, training, and inference with deep neural networks (especially LLMs) and statistical machine learning—from the model to the metal™.

WHERE
etc.venues
360 Madison Avenue
New York, NY
Venture Suite
4th Floor

Agenda

Scroll or filter to see all sessions. Click sessions for descriptions and speaker info.
Links to the slides are below the agenda

Click on the session titles below for the slides

"Going the last mile to AI production on roller skates"
James Massa, Senior Executive Director of Architecture and Engineering, JP Morgan Chase

"Accelerate Data for AI Models"
Victor Alberto Olmedo, Global Analytics and AI Principal Field Solution Architect, Pure Storage

"A lean orchestration manifesto "
Paul Yang, Developer Relations, Runhouse

"Shrinking 1000 hours to 1: Lessons from AI in pharma"
Nataraj Dasgupta, VP Engineering, Syneos Health

"Future Ready AI"
Michael Watson, Senior Director of Field Application Engineering, Supermicro

"TEMPORAL IQ: Advanced Techniques for Real-Time Anomaly Detection"
Jaka Pandza, Pre-Sales Engineer, KX

"Make the Most of Your GPU Infrastructure Investment: Scale Capacity and Performance while Reducing Cost and Power Consumption"
Brian Kuebler, Sr. Systems Engineer, Hammerspace

"Accelerating Inferencing RAG Pipeline with WEKA"
Kevin Tubbs, Field CTO, WEKA

"Stop RESTing: How to make object storage fast enough for financial AI"
Rami Douenias, Vice President Global Sales Engineering, DDN

"Lenovo AI and Sustainability Innovations"
Danny Dorado, ISG Senior Account Executive, Lenovo

"AI/HPC Solutions for Financial Services"
Michael Watson, Senior Director of Field Application Engineering, Supermicro

"New technology for cognitive time-series analysis with nanosecond latencies"
Jeff Chiles, CTO & Co-founder, Great Sky

"Don't assume GPU: Why FPGA is better for some ML"
Andrea Suardi, Head of Acceleration Technology, Xelera Technologies

"STAC Update: STAC-AI benchmark & audit results"
Bishop Brock, Head of Research, STAC

About STAC Events & Meetings

STAC events bring together CTOs and other industry leaders responsible for solution architecture, infrastructure engineering, application development, machine learning/deep learning engineering, data engineering, and operational intelligence to discuss important technical challenges in finance.