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Industrial companies in fields such as manufacturing, transportation, and infrastructure undertake digital transformations for various reasons: To build the digital sophistication needed to survive and thrive in a connected technological world. To simplify unwieldy systems or overlapping, repetitive processes. To

5G, along with its role in industries, is a popular topic. An important part of this conversation is the campus network, which serves as one of the key implementations of 4G/LTE and 5G technologies in an industrial setting. In particular,

To keep up with the speed of digital business, more organizations are looking to bring together information technology, which manages data, and operational technology, which handles manufacturing and industrial equipment. Integrating the two departments can help improve productivity and boost competitiveness. Aside

Industrial IoT is at a transition point. While the number of connected devices continues to grow at a rapid rate, IoT is no longer just about monitoring equipment behavior. Increasingly, the value of IoT comes from collecting machine data and

Fortinet has worked with Forrester Consulting for a third time to check in on security trends affecting those who manage and maintain critical infrastructure—including the industrial control systems (ICS) and supervisory control and data acquisition (SCADA) systems that manage everything

Azure is widely considered to be one of the top 2 cloud platforms, along with AWS. Azure is also considered the top cloud platform for IoT applications. HiveMQ and IIoT World ran a survey that showed for companies implementing IIoT

Organizations that want to thrive need to become a digital enterprise, and the starting point is typically the industrial Internet of Things. But once IoT is in place, where do you go next?  How do you gain an advantage over

With CO2 emissions and road fatalities on the rise, the need for sustainable mobility solutions is now more than ever. Currently, the CO2 emissions in the transport sector are about 30% in the case of developed countries and about 23%

IIoT practices are having an impact, but Developers struggle to scale successful AI/ML projects. WHY? Data management is many times the culprit. Industrial OT and Business IT are not the same. For example: Business data is delivered in batches or transaction