Bryce Goodman

Singularity Expert: Internet of Things, Machine Learning

Bryce Goodman is Chief Strategist for Artificial Intelligence and Machine Learning at the Department of Defense’s Innovation Unit, where he oversees a range of large-scale projects including the implementation of AI for humanitarian assistance and disaster response, predictive maintenance, counter-disinformation, predictive health, and supply chain optimization. Bryce also supports programs on AI for environmental monitoring and conservation as Kravis Senior Contributing Scientist and Innovation Fellow at the Environmental Defense Fund (EDF), is a faculty member of Singularity University and an external advisor to the US National Security Commission on AI. His current and past consulting clients include Google, NEC Corporation, Deloitte, LG, Citibank, Barclays, Global Fishing Watch, World Bank, Blackstone, United Nations, NASA, US Department of State, CIA, and the UK Cabinet Office.

Previously, Bryce co-founded a cleantech startup and successfully raised over $50m led by Kleiner Perkins. Bryce’s awards include Forbes 30 under 30 (Energy & Industry), Harvard Business School Best New Venture and World Economic Forum Technology Pioneer. He is a graduate of Deep Springs College, the University of Oxford (Clarendon Scholar; first class honours) and Singularity University, and holds degrees in data science, philosophy, political science and economics. He is currently undertaking a PhD in Philosophy and Artificial Intelligence at the University of Oxford.

Speaking Topics

Intelligence Unboxed: The Internet of Things Revolution

The internet of things (IoT) is about a lot more than smart thermostats and connected cameras. In this talk, you’ll learn how IoT is bringing machine intelligence out of the box and into the world through the confluence of smart sensors, networked computing, big data and deep learning. The IoT revolution is disrupting industries ranging from manufacturing to healthcare, delivering billions of dollars in value today and trillions of dollars of value in the years to come. But who will be the winners, and who will be the losers? And will IoT be a technology of liberation, or domination?Topics will include: smart sensors and sensor fusion, networked computing, big data, artificial intelligence/ machine learning/deep learning, predictive maintenance, generative design, computer vision, autonomous systems, wearables, cyber warfare, machine deception.