AI STAC, 4 December 2024, London

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

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
200 Aldersgate, St Paul's
Upper Ground Floor
London EC1A 4HD

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

"Efficient evidence extraction: The art of automating AI compliance "
Margaret Hartnett, Co-Founder, progressio.ai

"AI agents in finance: A perspective from the front lines"
Hanane Dupouy, Algorithmic Trader Equity, Bernstein Société Générale

"AI-Driven Optimisation"
Mike Basios, CTO, TurinTech

"Low Latency AI with the Alveo V80 Accelerator"
John Courtney, Fintech Marketing Manager, AMD

"Stop RESTing: How to make object storage fast enough for financial AI"
James Coomer, SVP Products, DDN

"Lenovo AI and Sustainability Innovations"
Emily Barrett, AI Lead & Technical Architect, Lenovo

"Make the Most of Your GPU Infrastructure Investment: Scale Capacity and Performance while Reducing Cost and Power Consumption"
Giancarlo DiPasquale, Field CTO, Hammerspace

"Building secure multi-tenancy AI platforms - at factory scale"
Alex Reddington, Senior Solution Architect - AI Solutions, HPE

"Proper pipes: How networks can reduce the cost of fine tuning and training"
Adrian Skinner, Systems Engineer, Arista

"Combining LLMs and numerical AI: The case of trading-platform telemetry"
Fergal Toomey, Managing Director of Data Science, Pico

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

"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 financial services.

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