Commentary

Though the uncertainty that arrived with COVID-19 early in 2020 does not appear to be dissipating; even so, the engineering technology sector has continued to innovate and generally thrive.

An engineering workflow needs to take human nature and the pros and cons of software recommendations into account.

Training courses are a great place to start, but it’s essential to know what you are getting up front. Following is the necessary core content for a simulation training course.

How can manufacturers accelerate digital transformation efforts to succeed in the Fourth Industrial Revolution? Here are three ways to close the digital skills gap.

Here’s what core content is necessary in a simulation training course.

The power of an immersive, shared experience to promote collaboration and inform design should not be underestimated.

The challenge for today’s engineering companies is to ensure that creative ideas are efficiently converted into real-world products and delivered at industrial scale.

It takes an enormous effort to successfully introduce a disruptive technology to a busy workflow. Is the problem that engineers don’t think they need the new software, or are they just too stuck in their ways—or too busy�...

The first step is doing the simulations and storing as much about them as you can; automation and consistency are add-on benefits that you shouldn’t overlook

You can take your pick of revolutionary technologies changing the world today. In the field of design engineering, technologies like simulation, cloud computing, artificial intelligence, augmented reality, additive manufacturing and sensor-laden, connected products are just a few with society-altering promise.

Connecting with people is just as important to advancing innovation as technology.

The IoT is a new world of connected equipment and data flows, which means that good ideas will come from unexpected sources.

3D printing alone won’t change the world, but it’s a growing part of the puzzle for people with the right vision.

AI has begun to come into its own, making tremendous strides over the past few years. But for all its successes, applications of AI-like machine learning, neural networks and deep learning have been slow to find a place in electronic...

For many projects, technical calculations may not be managed with the same attention as other intellectual property. What’s often missing is calculation management, a process that treats calculations like the vital, valuable company assets they are.