We want to manage data at the edge. It gives us information for making better decisions faster. It reduces IOT data storage and transfer requirements. And it can improve security. What are the challenges that we are bound to face?

GPU accelerated data science & AI

Today, Artificial Intelligence is synonymous with neural networks. For decades, this was not the case. The widespread development and adoption of neural network techniques has led to a boom in AI. But why? And why now?

GPU accelerated data science & AI

Are you working on a project in AI, data science, or HPC? If the answer is yes, then the odds are good that your computing can be GPU accelerated. You need the right solution - both hardware and software. An NVIDIA Data Science Workstation is the answer.

Browse the latest Covid-19 statistics with OmniSci's Covid-19 dashboard.

An augmented reality experience will be integrated into our interactions with "things" and that will transform how we design, develop, and service products. 

Why does a CAD & PLM company invest in the Internet of Things, Big Data Analytics, and Augmented Reality? It could be due to a vision of a new "digital twin" where the digital and the real come together, interact, and are - literally - linked together.

Go to top