AI in the Cloud and IOT continues to grow in 2022


AI Integration Challenges

AI is increasingly becoming a standard in engineering applications and projects. However, designing with AI is challenging to the development team and the entire design flow.


AI in the Cloud Workflows with MATLAB

Many organizations use one or more cloud environments for efficiency, scalability, and mobility, especially for AI applications. 

See how engineers and scientists who work on AI projects know when to move some or all of their development to the cloud and which cloud platform to choose.


You’ll also learn about MATLAB® cloud options and the advantages they offer across the development stages of a system based on AI.


Learn more from our user stories by Biomedical Devices, Caterpillar, Shell, Siemens, and several more.

Download Handout to find out more information and receive our Exclusive invitation to join our Technical Seminars and Workshops

Complete the form to receive a copy of our complimentary Handout and Exclusive Invitation to our Seminars, Workshops
Explore our Solutions on AI, IOT, Robotics, Predictive Maintenance, Digital Twins, Medical Devices, Automotive, Electrification

In this handout, you’ll also learn about the following capabilities:

      Running MATLAB Deep Learning Container on NVIDIA Compute                cloud (NGC)
      Using MATLAB Parallel Server™ on AWS for multi-GPU                                computing
      Deploying the MATLAB Production Server™ pay as you go                          (PAYG) environment on Azure®
Free Demo
IoT 2022  (1600 × 400 px)-3

30-Day Trial 

Develop Internet of Things project with MATLAB, Simulink, and a full set of products for Internet of Things.

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