Build a data streaming, AI and machine learning platform for IoT - IoT Agenda

Today's IoT use cases increasingly depend on performing analytics or updating machine learning algorithms in real time on huge amounts of device-generated data. If the data for patient monitoring, autonomous vehicles or predictive maintenance applications isn't ingested, processed and acted upon in real time, patients suffer, vehicles crash or systems fail. So how can businesses cost-effectively build a reliable platform for ingesting and responding to massive amounts of data at scale? Businesses can do so with a streaming platform and data storage system built on an open source software stack. Many of today's open source solutions have proven to be reliable across thousands of production deployments.