Internet of Things (IoT) Data Management
To accurately monetize connected car data, says Actian's Lewis Carr, it's important to realize it's not about the car itself, but the people driving them -- and meeting their desires in real time.
When deploying an enterprise IoT project, there are a number of key implementation mistakes that should be avoided. Read on as Veeam's Rick Vanover outlines seven IoT mistakes to avoid to ensure ...
IoT technology gives ambitious vehicle manufacturers, insurance companies and fleets a competitive edge. Vodafone's Ludovico Fassati explains IoT's role in the future of automotive tech.
Vertiv's Jack Pouchet discusses why the Redfish specification, which helps all data center equipment communicate, may be the key to bridging IoT communication and management efficiency.
IoT edge analytics lets organizations process data closer to its source. NYC Data Science Academy's Vivian Zhang outlines the benefits and drawbacks, and explores where IoT edge analytics are ...
Once you have an outcome-based focus in mind, there are a number of steps to take to build end user-enabled predictive analytics. GE Power Digital's Matt Schnugg discusses.
Consumer packaged goods companies are uncovering new, valuable uses for IoT technologies that weren't possible a few years ago. MOBI's Josh Garett explains the intersection of IoT and CPG.
Yesterday's approaches to data management are no match for the volume, diversity and interconnectivity that characterize IoT. Equinix's Chiaren Cushing discusses what needs to change -- and how.
Interference is a major issue for IoT devices. What can be done about it? Keysight Technologies' Cheryl Ajluni explains why the answer is coexistence testing.