Insights-Driven Innovation at the Edge

53 Minutes

Edge computing refers to computations being made on data at the point of data collection: at that location and at that time. This is especially relevant to artificial intelligence (AI), automation, and robotics applications, but it doesn't stop there. Insights discovery at the edge is also essential in immersive reality applications (Augmented Reality, Virtual Reality, and the Metaverse). Insights from data collected at the edge therefore fuels innovation and smart devices everywhere, through applications of machine learning and data science. Edge intelligence is a very hot topic that ties into many other technologies: IoT (Internet of Things), Digital Twins, Autonomous Systems, Drones, 4-D Printing, Digital Supply Chain, Digital Manufacturing, Design, Cybersecurity, and more. We will touch on several of these, particularly from their relevance as applications of insights-driven data science, machine learning, and AI at the edge.

Speaker Kirk Borne

Dr. Kirk Borne is Chief Science Officer at startup Data Prime Inc. since April 2021. He is also the founder and sole owner of Data Leadership Group LLC. He is a career data professional, data science leader, and research astrophysicist. From 2015 to 2021, he was Principal Data Scientist, Data Science Fellow, and Executive Advisor at Booz Allen Hamilton. Previously, Kirk was professor of Astrophysics and Computational Science at George Mason University. Before that, he spent 20 years supporting data systems activities for NASA space science missions, including the Hubble Telescope. He is a top worldwide influencer on social media, promoting data science, machine learning, AI, IoT strategy, and data literacy for all.

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