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There is one irrefutable truth in personnel training – money can buy great training tools, but finding great instructors isn’t as easy. When you send …

Creating a Digital Twin may seem complicated, but it is not. While implementing physics-based real-time simulators in your trade show arsenal can yield significant advantages …

Investing in a trade show often means investing in space. Your return on investment depends on how many potential leads you generate during the event. …

All key players. All innovations. All target groups. All trends. Gigantism is a word that bauma uses to describes the biggest live trade shows of the …

We have been helping innovators and industry leaders to implement over 100 Digital Twin projects in industries such as Construction Equipment, Mining, Ports & Logistics and Forestry and here are three of the lessons we learned.

How do we prevent accidents with port cranes from happening? The short answer: operator training and preventive technology. These both can be developed further and made much more efficient with simulators powered by physics-based Digital Twins. Read on to learn how it works in practice.

The port industry has a history of innovating to meet the changing requirements of global shipping and trade. However, as cranes are becoming smarter and ports are becoming more digitized, how do you ensure that your simulation-based training reflects the capabilities and technology of the modern terminal and doesn’t risk becoming a disconnected island within your port?

While the pace of technology development in the heavy machinery industry accelerates, manufacturers continue to face demands for increased productivity and design complexity to meet global requirements and the emergence of smart, connected products. Collecting and storing the data will be a challenge, but how can OEMs analyze this amount of data and ultimately use the results to predict machine behavior and optimize operational efficiency?

In its Bauma industry barometer, Messe Munchen said that 32% of survey respondents rated “Research into machines and vehicles with electric drive systems” as most important for their business going forward. But how can you design all the necessary changes required to electrify your machine? This is where the physics-based Digital Twin steps in.

How do you go about achieving the promise of Digital Twins while at the same time safeguarding the substantial investments made in people, technology and processes? The journey to implementing a Digital Twin is an evolution from your current systems and processes, and organizations get to benefit every step of the way.

Although more and more products and devices are connected, data being produced within the IIoT might not have the quality and coverage needed to reliably train an AI algorithm. So how do we solve this issue? Well, say hello to AI’s new partner and match made in data heaven: the Digital Twin.