Machine Learning or ML is a branch of Artificial Intelligence (AI) that mainly consists of mathematical and statistical models that help machines to learn based on data and is currently being the development engine of many companies. For some years now, organizations have been interested in developing image recognition, shape recognition, understanding of natural language -that studies the interactions between computers and human language- among others, in order to improve th

Swami Sivasubramanian's Machine Learning keynote was full of exciting announcements of new tools and features. While the vast majority of them are industry breakthroughs, we choose just three to show you how they empower data scientists and reduce the time to market of ML solutions. These announcements have a common idea behind: MLOps - avoid spending money and valuable data scientists time on infrastructure details to focus on the actual data analysis and model development.