In the first IDC MarketScape: Worldwide Machine Learning Operations Platforms 2022 Vendor Assessment (doc #US48325822, December 2022) SAS has been ranked as a leader. The paper observed that enterprises require scalable solutions to cooperate, run, and operationalize machine learning models as they move more models from experimental to production. Data scientists, data architects, business analysts, and operations specialists can collaborate and communicate with one another thanks to machine learning operations (MLOps), which supports enterprise organizations in managing the particular difficulties of machine learning.
“Top challenges that customers face with implementing machine learning initiatives in production include lack of expertise, cost and lack of automation. MLOps software and processes enable customers to overcome these challenges by improving collaboration between data scientists, application developers, and operational engineers; automating end-to-end model life-cycle management; and increasing model velocity.”
Kathy Lange, Research Director of AI Software research, IDC
The SAS Model Manager MLOps product, which is a part of the SAS Viya analytics and machine learning platform, was examined in the report. It notes SAS’ advantages in flexible language and model support, as well as strong governance and production capabilities, and claims that “SAS Model Manager delivers a wide range of associated services and products that can aid with development of machine learning models in the enterprise.”
“A recent study of data scientists revealed that more than 40 percent of the time, analytics results are not being used by business decision makers”, “There is clearly a gap between finding insights and using insights, and the integration of a ModelOps – or MLOps – tool is key to overcoming this gap.”
Marinela Profi, AI Product Strategy Lead for Analytics and MLOps, SAS
With SAS Viya, which incorporates SAS Model Manager for the execution of swift model deployment and robust model governance, the AI and analytics powerhouse SAS recently made its cutting-edge analytics solutions more accessible than ever. SAS Viya on Microsoft Azure offers reliable data management, potent machine learning, and simple model deployment, all of which are pay-as-you-go and accessible with the press of a button.
“The secret for a successful MLOps practice is to not adopt different sets of tools that perform individual tasks but rather implement a comprehensive solution that does everything for you and speaks to both data scientists and IT, reducing complexity and increasing usability”, “And this is what SAS Model Manager is.”
Marinela Profi, AI Product Strategy Lead for Analytics and MLOps, SAS
The IDC MarketScape report is the most recent endorsement of SAS AI, machine learning, and advanced analytics capabilities from leading industry analyst companies.
