Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Alex Jaimes

Alex Jaimes
Senior Vice President, AI and Data Science, Dataminr

Website

Alejandro (Alex) Jaimes is senior vice president of AI and data science at Dataminr. His work focuses on mixing qualitative and quantitative methods to gain insights on user behavior for product innovation. Alex is a scientist and innovator with 15+ years of international experience in research leading to product impact at companies including Yahoo, KAIST, Telefónica, IDIAP-EPFL, Fuji Xerox, IBM, Siemens, and AT&T Bell Labs. Previously, Alex was head of R&D at DigitalOcean, CTO at AiCure, and director of research and video products at Yahoo, where he managed teams of scientists and engineers in New York City, Sunnyvale, Bangalore, and Barcelona. He was also a visiting professor at KAIST. He has published widely in top-tier conferences (KDD, WWW, RecSys, CVPR, ACM Multimedia, etc.) and is a frequent speaker at international academic and industry events. He holds a PhD from Columbia University.

Sessions

14:05–14:45 Thursday, 2 May 2019
AI for good at scale in real time: Challenges in machine learning and deep learning
Data Science, Machine Learning & AI, Expo Hall
 Location: Expo Hall (Capital Hall N24)
Secondary topics:  Data Integration and Data Pipelines, Deep Learning
Alex Jaimes (Dataminr)
Average rating: ***..
(3.00, 2 ratings)
When emergency events occur, social signals and sensor data are generated. Alex Jaimes explains how to apply machine learning and deep learning to process large amounts of heterogeneous data from various sources in real time, with a particular focus on how such information can be used for emergencies and in critical events for first responders and for other social good use cases. Read more.