Algorithmic Architecture, Real-time AI and Alpha

Explore the challenges and solutions in building real-time AI systems for trading in this conference talk by Dr. Jamie Allsop. Delve into the exploitation of algorithmic architecture to create a system that extracts fundamental signals from social media feeds and trades hundreds of securities simultaneously. Learn about overcoming obstacles in maintaining and recovering large amounts of in-flight state to deliver fast, scalable, and robust AI systems. Discover how correlating relationships across industries and sectors can extract additional alpha. Gain insights into the conceptual pipeline, environmental influences, and performance trade-offs involved in developing such systems. Examine code mapping examples, snapshots, and deltas as part of the comprehensive discussion on building cutting-edge real-time AI for financial trading.

Intro
DSP background with a PhD in adaptive framework design
Backstory.
Well, what is it really?
Using a channel
Conceptual Pipeline
Tame Problems
Environmental Influences
Simple Example
Different Performance Trade-offs
Code Mapping Example
Snapshots & Deltas