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
IoT is transforming the way humans and devices interact with each other, creating market opportunities and enabling change across industries.
The tech market’s latest big thing is the Internet of Things, which provides a way to wirelessly connect devices to a network and transfer data without human-to-human or human-to-computer interaction.The role of identity management in IoT is expanding like never before. IAM is focused on identifying people and managing access to different data types (like sensitive data, non-sensitive data, or device data). IAM helps identify devices, too, while managing user access to data, thus safeguarding against breaches and malicious activities
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.
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.
Big changes are afoot in the insurance and financial services industries, driven by data access and advanced analytics, creating fresh competitive energy.
MQTT 5 is a new version of the popular IoT standard. This new version includes features required for large-scale cloud deployments and a wider variety of IoT use cases.
Common pitfalls hinder the implementation of IoT initiatives, including failure to establish a clearly-defined business case, lack of appropriate staff to manage the IoT initiative and the inability to connect, gather and understand the data.
AI is conquering all the spheres of our modern world. Not all these changes are beneficial, so it’s important to step back and evaluate the effects.