KDD2024 - From Lab to Production: Scaling AI for Critical Real-Time Applications

Alex Jaimes, Dataminr
Applied Data Science Invited Speaker
Bio: Alex is Chief AI Officer at Dataminr where he’s in charge of Engineering, Data, and AI. Alex is a leader in AI and as an Engineering executive and scientist has built and led AI teams at large companies such as Yahoo and at several startups, where he has led efforts to build AI products used by millions of people across multiple B2C and B2B industries (real-time event detection/emergency response, healthcare, self-driving cars, media, telecomm, etc.). He has 20+ years of intl. experience in research (Columbia U., KAIST) and product impact at scale (Yahoo, Telefónica, IBM, Fuji Xerox, Siemens, AT&T Bell Labs, DigitalOcean, and IDIAP-EPFL) in the USA, Japan, Chile, Switzerland, Spain, and South Korea. He has been a professor (KAIST, South Korea), and has 100+ patents and publications (h index 43) in top tier conferences and journals in diverse topics in AI. His work has received ~9K citations and he has been featured widely in the press (MIT Tech review, CNBC, Vice, TechCrunch, Yahoo! Finance, etc.). He has given 100+ invited talks at the top academic and industry conferences (Colombia 4.0, UN AI for Good Global Summit, ICML & NeurIPs workshops, KDD, O’Reilly AI, Strata, Velocity, the Deep Learning Summit (Re-Work), Tech Open Air, the Future of Technology Summit, CogX, Stanford, Cornell, & Columbia Universities, etc.). He is a mentor at Endeavor (which leads the high impact entrepreneurship movement around the world) and Techstars; he was a member of the advisory board of Digital Divide Data (a non-for profit that creates sustainable tech opportunities for underserved youth, their families, and their communities in Asia and Africa), and was an early voice in Human-Centered AI (Computing). He was one of ten experts in the Colombian Government’s Artificial Intelligence Expert Mission, which evaluated and produced concrete recommendations in the short, medium and long term to implement an AI Policy. Alex is an active member of the research community (publishing and being in the program committee of several top-tier conferences). He holds a Ph.D. and an M.S. from Columbia University.