CES 2020 kicked off the new decade with a bang! With the promise of low-cost edge devices and pervasive 5G just around the corner, we predict that businesses that fail to connect their products, people and services will be disrupted faster than they can fathom.
Connected vehicle technology comes with various environmental and highway safety benefits. However, car dealers need to be tech-savvy, and it’s time consuming to develop a connected car.
As the promise of 5G continues to drive massive growth for IoT, it’s important for companies to put systems in place to support the data created by all these connected devices.Ensure your data modeling approach is suited for IoT deployments Put systems in place to review your data in real-time Only keep the data you need Plan for scale Automate data replication Add analytics
5G networks offer excellent capabilities that make them the ideal choice to meet the wide variety of needs in the construction industry.
Do-it-yourself IoT initiatives can be appealing, but is your company prepared for potential negative consequences? Here are the three major problems you need to watch for in DIY IoT programs.
The modern world points towards the creation of a smart city where computer systems can connect to IoT-enabled devices and sensors to get valuable information and data that can be used to manage cities efficiently.
The increasing number of vehicles on the road, along with the mismanagement of available parking space, leads to parking-related problems; thankfully, smart parking systems offer solutions.
IoT is about to undergo a huge leap forward, but hardly anyone knows about it. It’s called “swarm robotics,” and it involves bees and other social insects changing the world.
Digital twins solve the challenges of real-time data processing by bringing together data from IT and OT systems, IoT sensors and third-party data in a contextual representation of your built environment.
While the typical Industrial IoT demo uses gleaming new equipment, most of this country's working industrial assets are years and even decades old. It doesn't make financial sense to replace expensive equipment still performing its function, but managers want to gain the monitoring and analytics advantages of the IIoT. What needs to be considered before attempting an upgrade?