There’s lots of confusion around the Digital Twin. In this post and video, provide an overview of the three definitions used in the industry and highlight the one we use.
IoT System Development
ThingWorx Review: Ditching the Duct Tape
Many companies are going through the transition from developing mechanically oriented products to smart, connected ones. Overall, that transition includes a sea of changes, many of them challenging. This includes adding the organizational capability to develop embedded code, electrical systems, or rigid-flex electronics. One of the easier adjustments, however, is implementing an Internet of Things …
Digital Prototyping with the PTC Digital Twin
This article reviews how the PTC Digital Twin, created with Integrity Modeler, SySim, and Thingworx, can digitally prototype a smart, connected product and its IoT platform during the design cycle.
ANSYS Twin Builder: Connecting IoT Data to Simulations
ANSYS’ Twin Builder can set up Digital Twins by connecting IoT sensor data to simulations. This post reviews its functionality and value to manufacturers.
What’s Your IoT Strategy?
This article looks at two approaches that companies can take as their first steps with an IoT initiative: exploring in R&D or testing a ‘hypothesis.’
Creo Product Insight: Realizing the Digital Twin
Creo Product Insight is a new module that drives simulation models from IoT sensor data from Thingworx or csv. This post reviews its capabilities and value.
4 Tips to Engineer Smart Connected Products
For some, the IoT era represents a tremendous opportunity. For others, it is a significant threat. Either way, almost every company is trying to figure out how to engineer smart connected products. You can slap some sensors on your product and start streaming terabytes of data, but that doesn’t equal success. This post provides four tips on …
You Might Not Know It, But You’re Designing Systems
Does your company need system engineering? That’s a basic question that an increasing amount of companies are starting to ask themselves. No organization can afford to really ponder these kinds of questions without some motivation. No, there’s a reason they are becoming introspective in this way: there are some serious implications of failed system-level prototypes. …
Connectivity, Smart Software and Machine Learning
Today, the landscape of the Internet of Things (IoT) is awash with new and exciting technology that can empower miraculous product capabilities. Collecting and analyzing the right data can yield insights that may hold the power to transform a company. Building the right intelligence and automation can transform an industry. The visions are grandiose. Yet, most companies today struggle with a short and simple question: How do we get there?