Sponsored by IBM

Hybrid Cloud for Streaming & Real-Time Analytics (Special Report)


Continuous intelligence (CI) produces insights from streaming data to take actions in milliseconds to minutes. It frequently makes use of artificial intelligence (AI) and machine learning (ML) models to perform the real-time analysis and make connections between different events as they are happening.

Such rapid analysis of streaming data requires significant and highly variable amounts of compute and data storage capacity. And in many cases, the various stages of the process (e.g., model training and tuning, data ingestion, and analysis) have distinctly different compute requirements, which can vary over time.

Traditional compute infrastructures for high-performance computing and big data analysis will not do the job. What’s needed is a highly scalable infrastructure that supports very dynamic development
environments, deployment scenarios, and integration of new technologies.

Hybrid Cloud Advantages for CI

Hybrid cloud is ideally suited to meet the computing requirements for real-time analytics of streaming data. It offers advantages that make deployment easier and less costly.

To read more about the Hybrid Cloud and Streaming and all its advantages, read the full report here: FULL STORY PDF

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