Converge Transactional and Predictive Analytics to Effectively Scale IoT

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 across any environment.
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, edge cloud or on hybrid models. He will examine a case study showing how a telco can reduce downtime and associated costs of cellular towers malfunctions caused by over heating. 

Schedule:

Schedule

Room:

Room
Regency Ballroom A

Tracks:

Speakers
Rajiv
Shah
Director of Solution Architecture and Professional Services
at
Gigaspaces
Rajiv Shah is the Director of Solution Architecture and Professional Services at GigaSpaces and a key member of the in-memory computing, big data, and machine learning/AI innovation teams. He’s responsible for determining and meeting customer requirements and participates in determining roadmap and vision. Rajiv is also active in the company’s strategic technology partnerships. He has held strategic roles in several other companies, including Chase, Wipro, and Scholastic.

Slides & Recordings

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