The IT department of an organization holds a pivotal role in driving digital transformation by creating innovative digital products and services. MathWorks, a leading software solutions provider, facilitates seamless collaboration between IT and engineering, leading to measurable business outcomes. By leveraging MathWorks’ expertise, IT professionals can optimize their digital strategy and enhance the value proposition of their organization, ensuring a competitive edge in the digital age.
“The advanced analytics group at Shell have been working with MathWorks to define approaches to radically shorten the process of operationalization of engineering analytics projects.”
Dan Jeavons, IT CTO, Shell
Learn How to Use MATLAB and Simulink for Enterprise and IT Systems
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Deploying MATLAB with Production IT Systems Using MATLAB Production Server
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Leverage Your Chosen Tools and Platforms
MATLAB and Simulink seamlessly integrate with the technologies employed throughout your organization’s DevOps lifecycle:
Applications: Incorporate with operational systems like C3.ai or AVEVA PI System and showcase results through dashboards such as PowerBI or Tableau. Interact cohesively with other languages like Java and Python.
Data: Retrieve data from relational, NoSQL, or graph databases, cloud data stores, and extensive data repositories. Execute computationally intensive engineering algorithms within Hadoop or Spark jobs.
Middleware: Test and construct using popular CI/CD systems and leverage streaming protocols for the ingestion of real-time data.
Infrastructure: Deploy on the edge, embedded systems, on-premises hardware, within Docker containers, or on various cloud platforms.
Start Delivering Operational Value with MATLAB and Simulink
Advance the development of your digital products and services
- Reduce your risks by deploying MATLAB and Simulink models into production using your chosen IT infrastructure without recoding them into other languages.
- Reduce time to market by combining MATLAB and Simulink models with models written in Python, C#, and Java.
Monitoring and Management
Monitor the performance and manage the configuration of MATLAB Production Server through a web-based console. By reviewing statistics in real time, users can quickly identify bottlenecks and remedy issues, or add more hardware resources where necessary.
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