In the age of a new normal, remote monitoring and control have become a necessity across the enterprise. The prominence of IoT extends beyond its traditional purpose of sense and integration, evolving to complete end-to-end Enterprise Digital applications that represent physical assets, processes, and environment as a replica in a virtual representation.

Historically, maintenance has been driven by a preventative schedule. Today, preventative maintenance, where actions are performed regardless of actual condition, is giving way to Predictive, or Condition-Based, maintenance, where actions are based on actual, real-time insights into operating conditions. While both are far superior to traditional Corrective maintenance (action only after a piece of equipment fails), Predictive is by far the most effective.

The connected reality of gadgets presented by the Internet of Things (IoT) can no longer be considered as just a buzz as it has already transformed our living to a great extent. The connected things made our homes, workplaces, and transportation smarter. No wonder IoT apps are now one of the most popular app categories. As the latest statistics reveal, the global market share of IoT apps is expected to touch a whopping 520 billion USD by the end of 2021.

The Internet of Things (IoT) is changing the way we physically and digitally interact in the world. With the global IoT market projected to reach nearly $2 trillion by 2028, developers are looking for ways to take advantage of the increasing demand and gain a cutting edge. For many teams, IoT development combined with using digital twins for verification allows them to make better decisions during development and visually market their devices after launch. How?

If you have read our previous post focusing on the challenges of planning, launching and scaling IIOT use cases, you’ve narrowed down the business problems you’re trying to solve, and you have a plan that is both created by the implementation team and supported by executive management. Here’s a plan to make sure you’ve got it all down. Think of these success factors like the legs of a kitchen table and the results that you desire, a bowl of homemade chicken soup.

With billions of industrial IoT (IIOT) devices in place, generating massive volumes of data from “the edge,” the potential for proof of concept success for use cases in the factory can be paralyzing. While the value of this digital revolution, aka Industry 4.0, is clear, realizing the full promise has been slow. Research and real-life experience from Accenture shows that many manufacturers get stuck early on or can’t get beyond proof-of-concept pilots to scale.

Anything that can be connected will be connected. This is the ultimate goal of technology. Connections with new objects and devices open the door for big data and new insights. It’s a branch of technology long in the making, with just a few hiccups. But advances in API technology aim to address these concerns and advance the IoT into a new era. As these advancements continue, organizations are learning that APIs can play a crucial role in increasing connectivity across the suite of IoT applications.

MQTT is a communication protocol for the publish-subscribe architecture. You can use DreamFactory as a MQTT client for your IoT projects. It’s easy to connect to any MQTT-based message broker using DreamFactory and easily publish and subscribe to any topic. DreamFactory’s MQTT client service is native to the platform, supporting role-based access controls, live API documentation, and more.

inReality provides an analytics platform that leverages IoT sensor data (for example, visual technologies) to bring operational excellence and exceptional customer experiences to all types of venues. The company’s clients range from public schools to major telecommunication companies with the goal being to make their spaces more secure and efficient, to solve problems, and to create better experiences for their patrons.