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What is composite AI?

Why choose SAS for composite AI?

Machine Learning & Deep Learning

Natural Language Processing


Computer Vision



Composite AI, according to Gartner's 2020 Hype Cycle for Emerging Technologies, is the "combination of different AI techniques to achieve the best result.” Another term for this is "multidisciplinary analytics," and SAS has been helping customers build such systems for many years.​

SAS brings multiple technologies and prebuilt applications to the composite AI table. It isn't just machine learning; it's a combination of techniques – statistics, data mining, forecasting, optimization, natural language processing (NLP), computer vision and others – depending on the business problem you're trying to solve. SAS provides them all under a single platform, making SAS unique in the AI and analytics space.

Look Who's Working Smarter With SAS®

Optimizing production to improve product quality and time to market

USG Corporation relies on SAS to improve its manufacturing process and reduce downtime, costs and energy consumption.

Delivering a winning fan experience with predictive analytics and AI

The Orlando Magic uses mobile app data and machine learning from SAS to personalize marketing campaigns and analyze game data.

Entering a new era of cancer treatments with AI

Amsterdam UMC uses AI solutions from SAS to increase the speed and accuracy of tumor evaluations.

Building a legacy of inclusion with data-driven technology

Special Olympics World Games Abu Dhabi uses analytics and AI solutions from SAS to keep athletes safe and fans engaged.

In the Spotlight


Gartner Magic Quadrant for Data Science & Machine Learning Platforms.

SAS is the only vendor named a leader in the Magic Quadrant for Data Science and Machine Learning Platforms for all eight years of its existence.


Composite AI: What Is It, and Why You Need It

Read more about composite AI and how SAS delivers it in this Datanami article featuring an interview with Saurabh Gupta, Senior Director of Data & Analytics Product Management at SAS.


2021 Trends Data Scientists Should Follow

Get insights into the key market trends for data scientists as outlined in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms.


Are you up for a challenge?

Brilliant ideas start with curious minds. When those minds compete, the world wins. Read about the latest winners and upcoming challenges.


How SAS Delivers Composite AI

Computer Vision

Detect anomalies quicker and more accurately than the human eye.


Produce more accurate forecasts – and more of them – using AI to automate large-scale time series analyses.

Natural Language Processing

Understand, interpret and emulate human language using topic discovery, entity extraction, sentiment analysis and more.

Machine Learning & Deep Learning

Continuously improve and adapt to changes and solve the most complex analytical problems using advancements in deep learning – from algorithmic improvements, to new classes of neural networks, to higher computational power.


Find optimal solutions to complex business and planning problems while operating within resource limitations and other relevant restrictions.


Act on observations at a granular level using the most appropriate analytical modeling techniques.


Try the latest SAS® Viya® capabilities

Get a free, 14-day trial of SAS® Visual Data Science Decisioning, which includes all the capabilities of Composite AI as well as for the entire analytics life cycle.

Connect with SAS and see what we can do for you.

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