Those firms with sophisticated trading strategies that have invested in building machine learning pipelines to better extract value from their data are not going to simply rip and replace with a new solution.
That thinking was a major priority when SigOpt launched last year. The San Francisco-based vendor uses Bayesian optimization—a form of machine learning—to help firms to improve their research and development models and tools. But importantly, the Bayesian platform bolts on top of a firm's
While at Sibos Toronto, James shares some interviews covering topics on blockchain, fintechs and cybersecurity.Subscribe to Weekly Wrap emails