Deploying Models into a Language-Agnostic Execution Environment - MATLAB
Current Time 0:00
Duration 43:12
Loaded: 0.38%
Stream Type LIVE
Remaining Time 43:12
 
1x
  • Chapters
  • descriptions off, selected
  • captions off, selected
  • en (Main), selected

    Deploying Models into a Language-Agnostic Execution Environment

    With financial services firms handling diverse model estates built in multiple modeling languages such as Python®, R®, and MATLAB® code, deploying inexpensively at scale is an increasing challenge.

    See how developers, IT and DevOps engineers, and project managers can safely deploy models in multiple languages, integrate with other enterprise solutions, run software reliably, scale across hardware resources, audit usage, and provide monitoring.

    Published: 14 Mar 2022

    Learn More

    Develop, validate, deploy, and monitor your models faster and more efficiently
    Related Information
    Manage and monitor models across users and lifecycle stages

    Feedback

    Up Next:

    Design, simulate, and generate code for designs running on a Texas Instruments Piccolo microcontroller using Embedded Coder. Verify the object code running on the MCU using PIL testing.

    Deploying Simulink Models to Piccolo MCUs from TI

    Related Videos:

    Import models from CAD systems to SimMechanics using SimMechanics Link. Separate changes made in the CAD system and SimMechanics are automatically merged in the final model.

    Importing and Merging CAD Models into SimMechanics

    Use multiple cores of a Speedgoat target computer to run high-fidelity plant models with Simulink Real-Time.

    Concurrent Execution Using a Multicore Speedgoat Target...

    In Part 2, we continue adding functionality to the Stateflow chart we started building in Part 1.  Concepts covered include parallel states, truth tables, and temporal logic.

    Parallel Execution and Truth Tables | Stateflow Tutorials,...

    Use MATLAB to apply transaction cost analysis and to find optimal trading strategy using estimates from Kissell Research Group, including: market impact, price appreciation, and timing risk.

    Best Execution Strategy with Optimal Percentage of Volume