For modern quant firms, model performance has become a new form of alpha. With millions of dollars riding on fractions of a percentage point in accuracy, building high-performing AI models is essential. Teams that iterate faster ship higher-quality models at the speed of business. In this webinar, you’ll learn how AI tools from Weights & Biases compress the entire quantitative research loop, from hypothesis to production, so quant firms can discover strategies sooner and deploy models with confidence. You’ll come away understanding how to use a modern AI tech stack for quant R&D that delivers tighter governance and lower CapEx.
What to expect
An overview of Weights & Biases tools to track experiments, monitor model performance, identify error patterns, and ensure reproducibility and governance.
Details on how quant firms run on CoreWeave, including access to the latest NVIDIA GPUs, fast interconnects, and a GPU-optimized architecture.
Live demos of Weights & Biases, including dashboards for model training and monitoring, support for massive data ingestion, and tools for managing long-running training experiments.
What you'll learn
How quant firms are slashing compute costs and transforming financial markets with AI.
How quants, engineering teams, and DevOps teams can collaborate effectively using Weights & Biases tools.
How to create a system of record to support governance and lineage for AI workloads.
Who should attend
AI researchers, AI engineers, and software developers.
Webinar
