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No Shop Too Small for Industry 4.0

The ability to take Industry 4.0 software and implement it into your current server system, connect your machine tools, start collecting data and make it valuable to your business is very easy to do. That is according to Brad Klippstein, supervisor and product specialist at Okuma America Corp., Charlotte, N.C.

Zapping waste at a critical juncture in history

The economic challenges brought forth by COVID-19 are causing a more intense focus in manufacturing on the need for the kind of alacrity achieved with digital tools and the kind of digital savvy achieved with strong partnerships.

Digital Transformation Picks up Speed

Fostering human-centered innovation by developing powerful, easy-to-use tools is at the heart of the new products, enhancements and services showcased during the Siemens Digital Industries Software 2020 Media & Analyst Conference, a two-day virtual event hosted by the Plano, Texas-based company on June 16 and 17.

Industry 4.0 Offers Real Solutions

Industry 4.0 often seems like a vague, faraway idea, but there are several practical and relatively easy steps that can be taken to jump into the “future of manufacturing” right now. From addressing skilled labor shortages to increasing machine utilization, a fancy title should not stop a shop owner from using what works.

One man's war on disaster

Factory safety is not a theoretical issue for Gabe Glynn, CEO of the wearable tech firm MākuSafe.

AutoML 2.0: Making AI in manufacturing simple

Managing sensor performance has become a must-have for manufacturers. The advent and rapid adoption of IoT technology, enabling smart manufacturing systems, has created a two-fold scenario. Intelligent systems at once provide for near-real-time systems monitoring and create a new prediction problem.

AI Enables Smarter Assembly, Superior Products

The next cycle of technology disruption is upon us. Artificial Intelligence (AI) is taking hold in every industry and manufacturing is no exception. AI enables companies—from medical device and electronics manufacturers to pharmaceutical firms—to leverage their Big Data and IoT investments to see new patterns and insights and to perform tasks more efficiently and quickly than ever before.