Internet of Things (IoT) Analytics
To get greater value from the IoT data gathered, smart cities will have to transition from a data exchange to a data marketplace, says More With Mobile's Ken Figueredo.
Surveillance isn't just about security any longer, says Western Digital's Chris Bergey, it's about extracting value and intelligence, making smart video a reality.
Thanks to IoT, the insurance industry is revolutionizing how it assesses risks and pricing to a model based on real-life data. Jooycar's María Paz Gillet Martín explains.
Taking a proactive approach to maintenance with IoT, versus a reactive one, can save industrial organizations time and money. Splunk's Erick Dean discusses.
The internet of things is changing how machines run and are serviced – but what does it mean for the field service technicians doing the fixing? ServiceMax's Athani Krishna discusses.
A standardized and connected ecosystem can provide easy and seamless access to one critical industry: healthcare. Zephyr Health's William King outlines three critical value drivers of healthcare IoT.
The industrial IoT age is upon us. And as Mobiliya's Krish Kupathil explains, there is more than one way IIoT will accelerate growth, transform economies and create a new level of competitiveness.
Edge computing is rapidly being recognized as a necessity for implementing several industrial IoT use cases, explains MapR Technologies' Will Ochandarena.
What is the ultimate holy grail of IoT-driven business value, and can IoT platforms deliver on this value? Hitachi Consulting's Rajesh Devnani discusses.
Roambee's Sanjay Sharma explains why taking a connected things approach to fleet management -- versus a connected fleet approach -- helps better track the health of shipments.
Vision is undoubtedly one of the most important human sensing abilities. Now, the use of embedded vision is helping devices, objects and things "see," analyze and interpret.
While many factory leaders are wary of the cloud, rejecting its use can hinder the ability to gain the benefits from smart manufacturing and IIoT.
Insights gleaned from IoT data are changing business models, and no other sector has been impacted by the IoT transformation more than manufacturing.
Machine learning is a hot topic nowadays. Mark Troester of Progress explains how machines learn, and how it may impact your AI and machine learning strategies.
The success of connected and autonomous cars requires a fundamental shift in the data platforms used to support them. MapR's Crystal Valentine discusses.