The Fast Data Superpower
How many of us dreamed of having a superpower growing up? Be honest. I know for me it was flying. I bet everyone has a superpower they’d like to have. At Volt Active Data we have a saying: make fast data work. We’ve put that into practice for all our clients, and they’ve developed some […]
A Classification of Streaming Applications
The Internet of Things (IOT) is rapidly expanding the number of streaming applications as people sensor tag an increasing number of objects of significance. This adds to the historical streaming applications we have observed in financial services, the military, on-line gaming and elsewhere. In this blog post, we classify such streaming applications according to Table […]
IoT Day
Today is Internet of Things (IoT) Day, a day that marks a significant change in how we work, how we control our homes, how we drive, how most everything is made and how most everything else in our lives is changing. All of this change is being driven by the Tsunami of omnipresent data in […]
Before & after: How fast data will enable the IoT
More than three billion people globally access the Internet via smartphones and other devices such as watches and fitness trackers. This number pales in comparison to the total number of connected devices and sensors in the Internet of Things (IoT) today. Industry analyst firm Gartner puts this figure at 6.4 billion, and projects growth to […]
Be First to Value with a Mobile-aware Fast Data Strategy
It’s a land grab out there with new companies coming to market every day with cool new applications and services. These companies include consumer product and service innovators such as Uber, Airbnb, and Fitbit, as well as B2B leaders you may not know yet, such as Volt Active Data customers Emagine International and Openet. These […]
What’s missing from IoT thinking: side effects
IoT data management platforms must manage both data in motion (fast data) and data at rest (big data). As things generate information, the data needs to processed by applications. Those applications must combine patterns, thresholds, plans, metrics, and more from analytics run against collected (big) data with the current state and readings of the things […]
