Building High-Performance Production Applications with MATLAB

Location: Boston, MA
Venue: Omni Parker House
Date: September 16, 2014
Time: 9:00 AM - 12:00 PM


Join us for this complimentary seminar where you will learn how to quickly turn quantitative ideas into production applications as much as 90% faster than with C++, JAVA, and other languages. We will walk you through examples of creating stand-alone programs from MATLAB applications as well as integrating MATLAB functionality with other environments such as .NET, Java, and Excel®.

You will learn how products such as the MATLAB Production Server will enable you to create scalable and reliable server applications. A case study will be presented on taking a MATLAB model and delivering the content over a thin-client browser on desktops, tablets, and phones with various modern web technologies as well as through a Microsoft® Excel® front end. In this session, you will learn how teams can create an agile development infrastructure by using advanced modeling, analysis, and development tools in MATLAB to build applications quickly. Then we will explore best practices for collaborative development, ensuring code quality, production deployment, and integrating with enterprise architectures.


  • Data management and integration with databases
  • Create, package, and share MATLAB applications easily with “Apps”
  • Generate standalone applications using MATLAB analytics/models
  • Deploy applications to production environments using Excel, JAVA, and .NET
  • Software as a service: creating scalable enterprise MATLAB web applications
  • Share results and reports quickly and easily with your colleagues
  • Learn how to write production quality MATLAB code

Who Should Attend:

Anyone involved in creating, maintaining, simulating, or optimizing financial models and applications including:

  • Deployment / IT Professionals
  • Application Developers
  • Quantitative Analysts
  • Risk Managers
  • Actuaries and Insurance Analysts
  • Analytical Researchers


Time Title
9:00 a.m. Introduction and Overview
9:15 a.m. Building Maintainable Production-Ready Financial Models

Best practices and tips for preparing MATLAB code for production:
  • Version control
  • Unit testing
  • Analyzing code complexity
  • Performance tuning
  • Structuring code for deployment
9:45 a.m. Packaging and Sharing Applications
10:00 a.m. Deploying Financial Models as Desktop Applications
10:30 a.m. Break
10:45 a.m. Deploying Financial Models to Production Systems

Deployment options and end user environments:
  • Integrating and scaling over the web
  • Creating a centralized repository of analytics for Excel users
  • Database integration and in-database calculations
  • Deploying custom components into a server environment
11:45 a.m. Questions and Answers
Building High-Performance Production Applications with MATLAB

*Please select the webinar you would like to attend:

*Please select the seminar you would like to attend: