IDC MarketScape deems SAS a frontrunner for machine studying operations (MLOps) platforms
Business Analyst

IDC MarketScape deems SAS a frontrunner for machine studying operations (MLOps) platforms

January 6, 2023
Aliya Correa

Introduction

IDC MarketScape, a leading global research firm, has recognized SAS, a multinational software company, as a frontrunner in the market for Machine Learning Operations (MLOps) platforms. SAS, renowned for its innovative analytical software, has been empowering organizations with the tools they need to generate insights and make data-driven decisions for over four decades. The recent recognition from IDC MarketScape further underscores SAS’s commitment to advancing the MLOps landscape and helping organizations derive more value from their data.

Understanding MLOps Platforms

MLOps is a process that streamlines and manages the entire Machine Learning (ML) lifecycle, from model development to deployment and maintenance. As companies continue to embrace AI and ML, the need for a reliable, efficient, and scalable MLOps platform becomes increasingly critical. MLOps platforms allow data scientists, developers, and IT professionals to collaborate seamlessly, simplify complex workflows, automate ML operations, and ensure regulatory compliance. The result is faster time-to-market, improved accuracy, and reduced risk for organizations.

SAS’s MLOps Platform

SAS’s MLOps platform is a comprehensive solution that provides end-to-end visibility and control over the ML lifecycle. It combines advanced analytics, automation, and model governance capabilities to empower organizations to deploy ML models at scale with confidence. SAS’s MLOps platform simplifies and accelerates the development, deployment, and management of ML models while ensuring regulatory compliance and minimizing risks.

The SAS MLOps platform features the following capabilities:

  1. Model development and deployment: The platform enables data scientists to develop and test models using their preferred tools and languages. It also allows for seamless deployment and integration with existing applications and systems.
  2. Model monitoring and management: The platform provides end-to-end visibility into model performance, allowing for proactive monitoring and management. It also facilitates collaboration between data scientists, developers, and IT professionals to ensure models meet regulatory requirements and organizational standards.
  3. Model governance: The platform ensures that models adhere to regulatory requirements and ethical standards. It enables organizations to track and manage the complete lifecycle of their models, from development to retirement.

IDC MarketScape recognized SAS’s MLOps platform for its comprehensive capabilities, ease of use, and industry-leading innovation. The recognition underscores SAS’s commitment to providing organizations with the tools they need to generate insights and make data-driven decisions.

Conclusion

SAS’s recognition as a frontrunner in the MLOps platform market by IDC MarketScape is a testament to its long-standing commitment to innovation and excellence. The comprehensive capabilities of the SAS MLOps platform make it a reliable and scalable solution for organizations looking to streamline and manage their ML lifecycle effectively. SAS’s continued dedication to advancing the MLOps landscape positions it as a strategic partner for organizations looking to derive more value from their data.