Though Open Source offers a powerful set of tools for building and deploying AI models, there are still quite a few gaps. Join Data Scientist Óscar Lara-Yejas as he discusses some of the reasons why enterprises invest in AI platforms, from the perspective of the greatest challenges he has faced as an ML and AI practitioner.





Bio: Óscar Lara-Yejas is a Data Scientist and one of the founders of the IBM Machine Learning Hub. He holds a Ph.D. in Computer Science and Engineering from University of South Florida. Oscar joined IBM in 2012 as part of the Big Data team, focusing on the design and implementation of Large-scale Distributed Machine Learning products. His contributions to the IBM portfolio span across BigInsights, BigR, and SystemML. Dr. Lara-Yejas is also an Apache Spark and Apache SystemML contributor. He has authored a book on Human Activity Recognition and a number of research/technical papers on Big Data, Human-centric sensing, and Combinatorial Optimization.