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.
Elevate the Customer Experience With AIoT
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.
GE Transportation is using analytics from SAS to build an ecosystem that will enable customers to manager their IoT landscapes cohesively and consistently.
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.
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.
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.
Konica Minolta benefits from high-speed processing of considerable amounts of sensor data that will expand over time.
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.
Reducing downtime by applying advanced analytics and AI to IoT data.
Industry Applications for IoT & AI – From the Edge to the Cloud
Explore how IoT analytics solutions from SAS are using AI to help a variety of industries get the most out of IoT data from edge to cloud – unlocking new revenue streams, operational efficiencies and differentiated customer experiences.
What People Are Saying
IDC reviews the the latest release of SAS Analytics for IoT, a simplified offering aimed at helping customers monetize the value of their IoT data.
SAS is considered a best-of-breed champion for streaming analytics in this Bloor Research Market Update on Streaming Analytics.
Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2019.
If analytics is a requirement for success in IoT, is analytics in the form of AI a necessity for IoT to fulfill its potential? Is the artificial intelligence of things – AIoT – the ultimate success story of the internet of things?Oliver Schabenberger Executive Vice President, COO & CTO SAS
SAS® IoT Analytics Products
Built on the scalable, open SAS® Platform, these SAS products can help you operationalize IoT from the edge to the cloud.
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