IoT Solutions

Advancing toward the artificial intelligence of things (AIoT).

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Why choose SAS for IoT analytics solutions?

As the market leader in analytics, SAS empowers organizations to create and sustain true value from diverse IoT data and initiatives – whether that data is at the edge, in the cloud or anywhere in between. Our robust, scalable and open edge-to-enterprise platform bridges IT and operational environments, while spanning the entire analytics life cycle. From visualization and statistical modeling to descriptive, predictive and prescriptive analytics, SAS delivers deep expertise in IoT analytics – including AI, machine learning and deep learning – to help you reduce risk and gain real business value.

Discover how AIoT helps you elevate the customer experience, reduce downtime and more.

How SAS Delivers IoT Analytics Solutions

IoT Partner Ecosystem

SAS partners with other leading-edge companies to enable transformative IoT and AI solutions that drive real business value.

The Sinclair Hotel

SAS –along with delivery partner T1A, Intel and Cisco – is helping The Sinclair Hotel better understand guest preferences, enhance the value of its brand loyalty program, and improve the guest experience.

Browse our ecosystem partners

AI & Machine Learning

Advanced analytics solutions with embedded AI and machine learning enable you to analyze a variety of structured and unstructured IoT data sources. Choose from a huge array of SAS and open source machine learning and high-frequency analytics to understand streaming data and gain insights you can act on immediately.

Lockheed Martin uses machine learning to transform predictive maintenance for complex equipment and keep aircraft operational for crucial missions.

Find out how Lockheed Martin uses SAS for IoT

Streaming Analytics

Combining streaming data with advanced analytics and AI reveals patterns that empower real-time decisions. Advanced analytics and mathematical algorithms are developed using rich histories of stored data that can be encoded into data streams, enabling continuous scoring of streaming data.

Rogers Communications uses SAS to build models that predict how likely customers will be to promote the company's service to others. The company then uses that information to communicate appropriately with customers.

Find out how Rogers Communications uses SAS for IoT

Big Data Management

Consume streaming big data as close to the edge as you need. Embedded data quality routines and text processing execution means big data is filtered and ready to consume. Prebuilt connectors and adapters let you write once and deploy anywhere – today and into the future.

It used to take a staff member one week each month to aggregate and report warranty data in spreadsheets. Now American Honda populates those reports automatically, recovering a week of manpower to use on other projects.

Discover how American Honda uses SAS for IoT

Intelligent Edge

Powerful, optimized edge computing combined with machine learning enables high-volume throughput of millions of events per second, and low-latency response times. Distributed, in-memory grid processing running in commodity hardware environments can scale linearly as your data grows.

Western Digital continually monitors equipment sensor and device performance data so engineers can make critical decisions quickly when an exception occurs.

Learn how Western Digital uses SAS for IoT