Algorithmic Architecture, Real-time AI and Alpha | ML Conference Session Dr. Jamie Allsop скачать в хорошем качестве

Algorithmic Architecture, Real-time AI and Alpha | ML Conference Session Dr. Jamie Allsop

Building any AI system is hard but building a real-time AI brings its own challenges. At Yedup and Clearpool they have been building a real-time AI system to trade against hundreds of securities simultaneously by extracting fundamental signals from real-time social media feeds. They have build a technology stack from scratch to meet their specific needs. This talk looks at how they have exploited algorithmic architecture to build a real-time AI system that delivers market leading alpha. The talk will show some of the challenges that they've had to overcome in order to deliver a system that can not only trade hundreds of instruments simultaneously, but that can also correlate the relationships across industries and sectors to extract yet more alpha. These are challenges that would be applicable to any similar class of problems (such as real-time AI) and this talk explores a couple of the key ones, such as maintaining and recovering with huge amounts of in-flight state to deliver fast, scalable and robust AI systems.