Internet of Things (IoT) Platform
Next-generation IoT platforms that incorporate machine learning will help companies eliminate IoT data exhaust and harness IIoT data as a business asset.
Explore eight principles integrated platforms with an RTOS and CPU must support to ensure fast, efficient IoT development.
As IoT becomes mainstream, businesses are responding. However not taking a strategic approach to designing IoT products and services can be risky.
A sensor does not make a product or technology part of the "internet of things," it's all about creating a holistic experience for the end user.
There's a perfect storm brewing in IoT that will push microservices into new and traditional industries. The benefits are high and risks are low.
To remain relevant, old-school companies should bet on the opportunity presented by the collection, dissemination and monetization of connected car data.
The Midwest is uniquely positioned to take a leadership role in IoT, more so than any other significant platform shift of the past 20 years. Here's why.
Fog-based drone package delivery will extend the reach of delivery to inaccessible places and reduce the customer wait time between order and delivery.
A team of software collaborators combined with a vertical slice approach improves the speed and structure of software development for IoT.
Building security into embedded system hardware helps regulators lock down specific functions while allowing consumers to tweak other parts of their product.
The three tiers of the IoT technology stack -- sensors, gateways and the data center/cloud tier -- need to integrate and communicate with each other.
Explore the top five IIoT challenges currently facing industrial organizations -- from asset-level visibility to and aging workforce to cybersecurity.
While its use outside finance is experimental, supply chain, power and agriculture applications are strong fits for blockchain in industrial enterprises.
Collaboration in IoT is key; companies that take a collaborative approach better positioned to succeed with their IoT solution in whatever field they play.
These best design practices will help developers maximize the ability to update configurations or add new functionality after IoT devices leave the factory.
In IoT, start small and demonstrate return; don't attempt to implement the internet of everything. Instead shoot for the "internet of (some) things."
Simplifying your network topology by deploying distributed digital edge nodes will help organizations embrace IoT and succeed in digital transformation.
Machine learning stands to have an incredibly powerful opportunity to transform the way we globally produce and consume energy.
Autonomous drones have the limelight, but cannot fly in most places because they lack command and control and identification needed by regulators.
Get clarity around acronyms related to the internet of things and IoT devices from Blue Hill Research's Ralph Rodriguez and Charlotte O'Donnelly.
Hardware device businesses must work intelligently and diligently to control, secure and monetize their devices and deter grey market production.
Don't confuse data with information. Data, by itself, isn't necessarily useable. The power of IoT is its ability to gather and synthesize data.
IoT complexity can be mastered using a building-block approach built upon a platform whose solid basis is an OS that is both configurable and modular.