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As manufacturing marches forward into the digital era, a growing ecosystem of standards is laying the foundation for a new generation of data management.

Industrial robots are becoming easier to program, more versatile, more cost-effective, more accurate and more mobile. These changes are lowering barriers to entry, shortening return on investment and making robots a more practical investment.

Cloud technology presents manufacturers with opportunities to improve the flexibility, scalability and efficiency of their operations. Realizing these benefits will require more than simply doing a one-to-one transfer of current technology to cloud-based servers.

Hexagon's Manufacturing Intelligence division announced today it has formed a collaborative partnership with the University of Rhode Island, College of Engineering.

Manufacturers of all sizes see an uptick in productivity after adding a factory within a factory via an automated machining cell. The cells are small-scale, clearly defined production units, often for a family of similar parts or a product, and they typically include a robotic arm and one or more machine tools. These can include horizontal and vertical lathes, machining centers and grinders. The cell may also include a conveyor component.

As manufacturing undergoes the revolutionary changes of the Digital Age, the people with the keenest leadership skills have taken up the charge to modernize the industry so that it leverages the cloud and Big Data and is connected and smart.

As manufacturers aim to become increasingly nimble in the marketplace,distributed manufacturing—making parts or finished products at or near the location where they will be used instead of at a central factory—is emerging as a way to advance a faster, more flexible and cheaper supply chain.

The Internet of Things (IoT) market is estimated to reach 75 billion devices worldwide by 2025. With the big increase in connected devices, it’s becoming more critical than ever for manufacturers to leverage new technologies, such as edge computing, to gather, process and manage IoT data.

You’ve done it: Everyone is on board with a digital transformation. So where do you go from here? The next major decision in the process is determining whether you build an IIoT (Industrial Internet of Things) solution or hire a solutions provider to complete the project on your behalf.

Everyone knows that today a ton of data captured on the manufacturing floor goes unused due to the lack of a data scientist on staff or other resources to comb through all the information.