Enterprise Internet of Things (IoT)
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.
Don’t treat privacy compliance as drag n’ drop; take these steps to progress your IoT data privacy journey and get ready for your GDPR close-up.
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.
While IoT is more pervasive than enterprise mobility, IoT adoption could be made smoother if we take lessons learned from EMM principles and functions.
A team of software collaborators combined with a vertical slice approach improves the speed and structure of software development for IoT.
As exciting as emerging connected technologies appear on paper, there is still an underlying concern about whether we can trust them.
Building security into embedded system hardware helps regulators lock down specific functions while allowing consumers to tweak other parts of their product.
Here are five marketing tips to help your IoT company promote, market and drive awareness of your "thing" without breaking the bank.
The three tiers of the IoT technology stack -- sensors, gateways and the data center/cloud tier -- need to integrate and communicate with each other.
IoT can be a strong component to ensure compliance with privacy regulations, creating a contextual perimeter for your data and your organization.
The use of embedded device analytics can help to reduce data volume, improve the quality and resolution of reported data and economize on storage.
Explore the top five IIoT challenges currently facing industrial organizations -- from asset-level visibility to and aging workforce to cybersecurity.
For successful transformation in the digital age, businesses must put equal emphasis on developing technology, talent and teamwork.
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.
Workplace IoT is full of both possibilities and complexities. Here's a five-step approach to begin to realize the potential of smart spaces.
There's a lot of pre-IoT era research on data, information and wisdom. It's worth revisiting the data fundamentals we've learned in context of the IoT era.
Industrial IoT will generate twice the returns we've seen from the consumer internet over the next decade; check out what it's doing for energy consumption.
In IoT, start small and demonstrate return; don't attempt to implement the internet of everything. Instead shoot for the "internet of (some) things."
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.
Potentially the biggest opportunity in the definition and use of the internet of things will be in the effort for suppliers to increase customer intimacy.
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.
Determine what business value you can expect from IoT; diving in for the sake of participating in the next "hot" tech will only lead to disappointment.
IoT requires owner-controlled PKI to provide independent security control, but it doesn't take device manufacturers out of the security equation.
When it comes to data privacy regulations, change is on the horizon, especially as it relates to organizations analyzing internet of things data.
Autonomous drones have the limelight, but cannot fly in most places because they lack command and control and identification needed by regulators.
This IoT security cheat sheet offers real-world steps to take to ensure your organization stays secure as the IoT wave continues across industries.
Get clarity around acronyms related to the internet of things and IoT devices from Blue Hill Research's Ralph Rodriguez and Charlotte O'Donnelly.
Far too many organizations stop after collecting IoT data. To be successful, it is critical to integrate that data into your analytics strategy.
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.