What does good AI performance actually look like?

How ADSS built its market-making trading infrastructure

Real-time market making demands infrastructure that can absorb vast amounts of data, process signals in milliseconds, and still leave room for human oversight. In this episode of Data in the AI Era, Chris Dale and Nikos Tsoskounoglou, co-heads of quantitative trading at ADSS, explain how they’ve built and scaled a system that rises to the challenge. Read the show notes here: https://kx.com/resources/podcast/how-adss-built-quantitative-trading-infrastructure/

Diagnosing model failure in high-frequency trading

You’ve cleaned the data, built the model, tuned the parameters. The signal is still flat. What next? In this episode of Data in the AI Era , Judith Gu, Head of Equities and FX Quant Trading Strategies at Scotiabank, joins Peter Finter to unpack a real-world modeling breakdown in high-frequency trading and explain what really matters when your models don’t work. Check out the show notes here [https://kx.com/resources/podcast/diagnosing-model-failure-high-frequency-trading/].

What does good AI performance actually look like?

In this episode of, James Corcoran, Head of AI at STAC, joins us to challenge outdated assumptions about performance benchmarking and AI infrastructure strategy. We explore why traditional metrics like latency and throughput no longer tell the whole story and what leaders need to measure instead. From model fidelity and semantic drift to RAG bottlenecks and GPU economics, this episode delivers practical insights for scaling AI systems with confidence. Read the show notes here [https://kx.com/resources/podcast/what-good-ai-performance-looks-like/].

Improving trader intuition and getting more from your data

Cat Turley, CEO of ExeQution Analytics, joins us to explore how capital markets firms can enhance trader intuition, bridge the gap between quants and tech, and unlock more value from data using modern analytics. Read the show notes here [https://kx.com/resources/cat-turley-on-the-future-of-trading-analytics/].

Trading in time: Why temporal AI is the next frontier for capital markets

In this episode, Peter is joined by Ashok Reddy, our CEO, who breaks down what it truly means to compete in the real-time economy and why most capital markets firms still operate on infrastructure that can’t keep up. Ashok shares how firms, from bulge bracket banks to high-frequency crypto shops, are redefining what it means to operate at speed and scale. He also explains why the future of AI will be built on a new paradigm: temporal intelligence powered by streaming data, adaptive algorithms.