Kinetica has released the first complete active analytics platform, dramatically simplifying the architecture to deliver smart analytical applications at massive scale.

The platform unites the key elements of active analytics: historical analytics, streaming analytics, graph analytics, location intelligence, and machine learning-powered analytics. Enterprises use the platform to build smart analytical applications that capture data, continuously assess it and automatically react revolutionizing the pace and potential of businesses across industries.

The Fourth Industrial Revolution is about data. Success in every industry depends on recognizing data as the most valuable corporate asset, said Paul Appleby, CEO at Kinetica. From smart cities to autonomous vehicles, logistics to retail, finance to healthcare, organizations that build smart, analytical applications to make decisions instantly shape markets, threaten incumbents, and drive new business models centered around data.

Traditional approaches to analytics (passive analytics) were designed before the rise of the Internet of Things (IoT), artificial intelligence and location intelligence. Businesses are left with assorted analytics technologies that struggle to align and apply advanced analytical techniques effectively. With an active analytics approach, businesses build smart applications that assess and act on data instantaneously.

Examples include:

- Finance: Institutional investors continuously assess value at risk via models in the background as an ongoing process, shifting from a stale view of risk to a dynamic, responsive view triggered by market events.

- Automotive: Automakers recognize unique driving behavior and the conditions that led to it to make more responsive route recommendations, learn how people drive in various scenarios, and ultimately build a...

To continue reading