As a technology company, Altair is always anticipating trends and industry movements. Constantly moving forward, we set our goals to improve the way business is done for our customers. Data analytics solutions give companies the tools to make smarter, more … Read More
What does IoT have to do with racing toy-cars? Everything (if you want to learn more about IoT). Much has been written about IoT but nothing comes close to explaining the concept like experience-based learning. Imagine being at a global … Read More
The use of digital twins is steadily going mainstream, and for good reason: they help organizations ensure their products and systems perform their best. As the name suggests, a digital twin is a digital representation of a physical object or … Read More
In “Democratizing Smart Buildings with IoT,” we talked about how the advent of powerful and cost-effective Internet of Things solutions has opened up the realm of connected technology to small- and mid-sized buildings — a benefit that was previously limited … Read More
Until recently, smart buildings have been limited to large commercial sites — but with the advent of powerful and cost-effective Internet of Things (IoT) solutions, owners and managers of small and mid-sized buildings can take advantage of connected technology. Challenges … Read More
Altair goes beyond delivering industry-leading technology solutions; we build relationships with our customers. Those customer relationships are reflected in the results of the IoT Survey 2019, conducted by teknowlogy Group, a leading independent European research and consulting firm in digital … Read More
This guest contribution on the Altair Blog is written by Katja Juschka, Head of Marketing and Sales at Fluidon, a member of the Altair Partner Alliance. Relevant information instead of mass data Today, Industrial Internet of Things (IIoT) and Industry 4.0 … Read More
As the Internet of Things (IoT) matures, organizations across many sectors are facing the challenge of scaling up from small, trial deployments and proofs of concept to mainstream, high-volume consumer deployments. They’re hampered by a lack of standardization, which makes … Read More
Using Machine Learning (ML) for Computer-Aided Engineering (CAE) is an entirely different beast than using ML for other industries where we are used to seeing it the most, such as retail, recommendation engines, spam filtering, etc. Unlike these industries, CAE … Read More
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