In the relentless pursuit of alpha, speed and sophistication are everything — and AI is the new battleground. This panel brings together leaders at the frontier of quant strategy to unpack how machine learning, advanced data pipelines, and next-gen infrastructure are transforming signal discovery and execution. From deep learning breakthroughs to obscure alternative data feeds, we’ll expose what’s working, what’s hype, and what it really takes to stay ahead in the most competitive race in finance.

Proposed panel discussion questions:

1.    How are quant teams engineering proprietary edge in a world where everyone has the same models and compute power?

2.    What alternative data sets and AI architectures are actually delivering differentiated alpha — and which are dead ends?

3.    How do you balance speed, scale, and complexity when deploying ML models across global markets?

4.    Is the future of quant strategy defined by human insight augmented by machines, or will autonomous AI eventually outpace us all?