Internet of Things (IoT) Cloud
Deploying a network of platforms, technology and tools that can generate, analyze and receive data directly supports and enhances customer relationships.
Why is it important for organizations to think strategically about IoT interoperability? There are at least three reasons why; learn more.
As the internet of things becomes ubiquitous, we must recognize the effect that increased connectivity is having on the data center.
Edge computing devices can make data available in real-time. Here are three reasons why edge computing should be a key component of your IIoT plan.
Data from IoT devices offers great insight, yet is often underutilized. It's time to overcome the barriers that have stood in the way of leveraging it.
Next-generation IoT platforms that incorporate machine learning will help companies eliminate IoT data exhaust and harness IIoT data as a business asset.
Fog-based drone package delivery will extend the reach of delivery to inaccessible places and reduce the customer wait time between order and delivery.
As fog computing has to play a role in an IoT world, we need to start talking about the business opportunities and disruptions fog computing will bring.
Learn about cloudlets and their relevance as an enabler of the smart edge, an emerging trend in the internet of things.
The IoT edge lets developers move application logic to exactly where the data is located at any moment in time for performance, reliability and security.
Identifying and defining key characteristics of a cloud-based IoT monetization engine will help businesses succeed not just today, but for years to come.
The rapid influx of potentially insecure connected devices poses more targets for cyberattacks, upping the ante for cybersecurity.
2017 will see the emergence of true fog computing and programmable/intelligent edge devices with the strongest security measures to date.
As the Industry 4.0 revolution forms, it's important to carefully consider which platforms are best positioned to deliver on their promises.
Geospatial big data and its use cases in IoT are massive and complex, but with dedicated analysis they are extremely valuable to its user.