MATLAB in Business Critical Applications
MATLAB® offers a powerful algorithm development environment for applications ranging from video and signal processing to computational biology. In business critical environments, results must be correct and available 100% of the time. To fit in with legacy workflows, MATLAB algorithms are commonly reimplemented in Microsoft® .NET or Java®. This process is error-prone and diminishes overall productivity and efficiency. Using MATLAB directly in business critical software development environments reduces development time and risk compared with recoding in other languages.
Bringing technical expertise gained from working with hundreds of companies, as well as an extensive industry background and a deep knowledge of MATLAB, MathWorks Consulting Services works with you to develop and deploy efficient, robust, and reliable MATLAB workflows into your production software environment.
Optimize code performance and reliability
Production environments require robust code, efficiency, and a 24/7 uptime. MathWorks Consultants have experience developing efficient platforms using MATLAB and deploying fast, scalable, and powerful solutions to enterprise systems. MathWorks Consultants advise you on best practices for handling production rigor and maintaining the analytical components developed in MATLAB.
Architect and design for scalability
In order to test and maintain a scalable solution, it is necessary to implement proper architecture and design. Through domain and application architecture expertise, MathWorks Consultants can guide you in the design and implementation of complex algorithms correctly the first time. We help establish or fine-tune your development process around industry-accepted best practices, ensuring that you achieve the greatest value from MATLAB and experience a significant reduction in development effort.
Enterprise system design requires knowledge of business systems, servers, and databases
MathWorks Consultants know the right tool for the job, and can integrate your MATLAB applications with IT and business constraints, which makes for easier deployment workflows and reduced maintenance costs. To ensure efficiency of your production environment, we not only deploy but also optimize algorithms and MATLAB applications.
MathWorks Consultants help you to:
- Establish foundational processes and plan for the successful deployment of MATLAB applications in business critical applications
- Instantiate complex analytics and algorithms in MATLAB and deploy to production environments in a scalable manner
- Assist in the proper capture of requirements, planning, design, implementation, testing, and deployment of MATLAB applications
- Reduce development effort, defect densities, and time-to-market
- Design and implement code to make best use of MATLAB
Questions?
Meet Our Team
Worldwide, MathWorks Consultants have MATLAB and Simulink expertise and industry experience to solve technology and business challenges.
Arvind Hosagrahara is a principal technical consultant who specializes in helping finance, energy trading and production, automotive, and aerospace organizations use MATLAB algorithms in their business-critical applications. Arvind has extensive hands-on experience developing MATLAB and Simulink applications and integrating them with external technologies such as Java, .NET, RDBMS, and others. He has helped design the software and workflow for a variety of business critical applications focusing on robustness, security, scalability, maintainability, usability, and forward compatibility. He holds a B.S.M.E. from Bangalore University, India, and an M.S. from the University of Illinois at Urbana Champaign.
Related Conference Papers and Technical Materials
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Open and Extensible (Blog post)
Making Code Usable, Useful and Testable (Blog post)
MATLAB in Business-Critical Applications (Blog post)
From Big Engineering Data to Insights Using MATLAB Analytics (15:27) (Video)
SAE 2005: Measuring Productivity and Quality in Model-Based Design (Conference paper)
Build a Product, Build a Service (Blog post)
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