AI STAC dev, 5 December 2024, London
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This event is tailored specifically for software developers, AI engineers, and architects in the financial services community who are focused on building cutting-edge solutions that align technical competitive advantages to strategic business objectives. These technical sessions & hands-on workshops feature some of the most exciting AI platforms available today!Featured Workshops
- KX: Integrate RAG and mixed search for more nuanced querying.
- Intel: Get hands-on with code using the newly released Gaudi3 & Xeon architectures for AI & ML
- AMD & Xelera Learn how to run a multilayer perceptron (MLP) model and optimize performance for low-latency AI on FPGAs
- Weights and Biases: Train, fine-tune, and manage models from experimentation to production.
- Arista: How AI fabrics are different from today's data center fabrics.
- Turin Tech AI: Maximizing Code Performance with AI: Evolutionary, Context-Aware, and LLM-Agnostic Approaches to Scalable Optimization.
- DataStax: Session to be announced
- STAC: Learn about STAC-AI, the latest LLM / RAG benchmark from STAC.
- … more sessions to be announced!
What to Expect
- Choose from a variety of 90-minute and 210-minute sessions
- Each session is designed as a technical session or hands-on workshop for practical, in-depth experience in a specific area of AI engineering.
Best of all, it's open to all technologists from financial institutions and FREE to attend!
If you’re interested in trading technology & AI/ML, be sure to also join us at the Fall 2024 STAC Summit London two days before (3 Dec) and AI STAC London the day before (4 Dec). Both are in the same location.
participating in STAC events and networking with senior financial technologists? Let's talk! |
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.