Converge Transactional and Predictive Analytics to Effectively Scale IoT
In today’s fast paced world of “now,” and the exponential growth of data and connected devices (IoT), organizations strive to get from data to advanced analytics to action with a latency of only sub-seconds. With streams of millions of events per second, requirements are growing for increased velocity to ingest the data, perform real-time data analytics and trigger instant operational actions.
In his presentation, Yoav will discuss how organizations can simplify and intelligently manage the data pipeline to accelerate telemetry ingestion, analysis and processing. Combining low latency streaming analytics, with transactional processing and workflow triggers, to act on IoT data in the moment ensures that the connected enterprise leverages their data on-premise, on the cloud or on hybrid models. He will examine a case study with Magic Software, discussing Machine Learning-driven predictive maintenance and process optimization to reduce maintenance and inspections costs and lower downtime.