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.
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.
As a marketing coordinator at Objectivity, I need to have certain qualities: strategic thinking, creativity, and attention to detail—especially when it comes to event planning.
One of the upcoming events that Objectivity will be attending is Strata + Hadoop World, which takes place Sept. 29 – Oct. 1 in New York City. There are many action items to complete before the event starts, one of which is handling logistics. This process can be time-consuming, deciding which giveaways to order, which marketing materials to ship, and which exhibit setup is best suited for this event.