Objectivity and Intel: Building the Big Data Backbone for the Industrial IoT

Objectivity and Intel: Building the Big Data Backbone for the Industrial IoT

We are at the cusp of the golden age of Fast Data. As more and more organizations deploy massive sensor networks, there is a growing imperative to better leverage increasing volumes of data from sensor networks to provide timely insight and improve business operations. At the same time, a recent McKinsey & Co report on the Internet of Things (“Internet of Things: Mapping the Value Beyond the Hype”) points out that in some industries, less than 1% of data from sensor networks is being utilized in discovering operational insights. This chasm between potential and real value can be bridged through improved streaming analytics tools, data fusion tools, and Hadoop-based enterprise data management systems to allow organizations to pursue new data strategies for creating greater value from IoT Fast Data streams.

Announcing ThingSpan, Objectivity’s Information Fusion Platform for Big and Fast Data

Announcing ThingSpan, Objectivity’s Information Fusion Platform for Big and Fast Data

Objectivity has been a pioneer in the world of Big Data, enabling leading businesses and government organizations to rapidly store, analyze, and find all the relationships and connections within their data from multiple sources, even at enormous scale.

Since our company’s founding more than 20 years ago, our solutions have continually expanded to address the most complex and demanding Big Data challenges—and today, we’re thrilled to announce the newest addition to our product line: ThingSpan, a purpose-built information Fusion platform that simplifies and accelerates an organization’s ability to deploy Industrial Internet of Things (IoT) applications.