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STAC event content involving

OBJ at the speed of light!

Michael Rothenberg, Global UDS Business Development, Financial Trading & Energy, Dell Technologies, presented this at the 18 May 2023 STAC Summit in Chicago.

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Large language Models for Systematic Algo/Discretionary trading incl. Alternative Data

Prabhu Ramamoorthy, CFA, FRM, CAIA, Customer/Partner Developer Relationship Manager, NVIDIA, presented this at the 18 May 2023 STAC Summit in Chicago.

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Adopting an Effective LLM Platform: Key Considerations for Success

Alex Gonzalez, Machine Learning/Deep Learning Solutions Engineer, Hewlett Packard Enterprise, presented this at the 18 May 2023 STAC Summit in Chicago.

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Constant performance, continuous innovation

Paula Clarke, Senior Presales Engineer, KX, presented this at the 18 May 2023 STAC Summit in Chicago.

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STAC Update: Fast data

Peter Nabicht, President, STAC, presented this at the 18 May 2023 STAC Summit in Chicago.

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STAC Update: Big workloads

Peter Nabicht, President, and Bishop Brock, Head of Research, STAC, presented this at the 18 May 2023 STAC Summit in Chicago.

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STAC Update: Machine learning

Peter Nabicht, President, and Bishop Brock, Head of Research, STAC, presented this at the 18 May 2023 STAC Summit in Chicago.

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Do more with less: Learn how to trade using FPGA and get to market faster without in-house expertise.

Laurent de Barry, Director, Hardware Trading Solutions, Exegy, presented this at the 4 May 2023 STAC Summit in London.

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Ultra Low Latency Market Data for Everyone

Cliff Maddox, Director of Business Development, NovaSparks, presented this at the 4 May 2023 STAC Summit in London.

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Be the first to respond to market changes. What does it take?

Liz Corrigan, Head of Engineering, Myrtle.ai, presented this at the 4 May 2023 STAC Summit in London.

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