Abstract: The appetite for applications of Artificial Intelligence (AI) has been growing at an astounding rate, producing a flood of hype but only a trickle of results. In this lecture I will present a brief survey and situation report of technical needs in industry, examples of solving common problems uncommonly well, and make the case for focusing on Intelligence Amplification (IA) instead of AI. A working example of machine learning techniques in resource constrained environments will be presented, along with performance results demonstrating non-optimized training speeds of over 350,000 requests per second on a commodity laptop.
Bio: Adam Drake's professional background includes a wide range of technical and leadership roles, including: leading technical business transformations in global and multi-cultural environments, performing in-depth technical due-diligence and funding analysis for investors, and mentoring new technical and operational executives. His passion is to help companies become more productive by improving internal leadership capabilities, and accelerating product development through technology and data architecture guidance. His technical interests include online learning systems, high-frequency/low-latency data processing systems, recommender systems, distributed systems, and functional programming.
Adam has a background in Applied Mathematics and has worked in technology roles since the 90s. His career spans a variety of industries, including logistics, e-commerce, online travel, online marketing, financial services, healthcare, and oil and gas.