Create value from diverse IoT data and initiatives – at the edge, in the cloud or anywhere in between – as you advance toward the artificial intelligence of things (AIoT)

IoT Analytics Solutions

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.


Analyst accolades for our streaming analytics solutions

  • Depth and breadth, but also online and offline analytics

    SAS’ strategy for streaming data is to offer the greatest number of analytics that can be executed in real-time data streams.”
  • Differentiated analytical capabilities

    No other vendor comes close to SAS in offering advanced analytics that can be executed in real-time including real-time machine learning techniques.”
  • Everything needed to succeed when speed is important

    SAS offers strengths in streaming analytics, developer and analytics tools, and low latency.”
  • Multimarket focus

    SAS is a good fit for customers that need extremely low latency combined with complex analytics such as industrial, manufacturing, and financial use cases.”

    Source: The Forrester Wave™: Streaming Data Platforms, Q4 2023

    AIoT가 고객 경험 향상 및 다운타임 감소에 도움이 되는 방법

    SAS가 IoT 분석 솔루션을 제공하는 방법

    IoT Partner Ecosystem

    SAS 파트너들은 다른 업계 선도 업체들과 협력하여 실질적인 비즈니스 가치를 창출하는 혁신적인 IoT와 AI 솔루션을 지원하고 있습니다.

    Livestock Monitoring

    SAS for Livestock Monitoring, powered by SAS Analytics for IoT and Azure IoT, helps large-scale livestock growers and buyers (e.g., retail food chains) proactively optimize the animal growth cycle, yield and quality with improved health monitoring across all locations.

    Flood Prediction & Preparedness

    Powered by SAS Analytics for IoT and Azure IoT, SAS for Flood Prediction and Preparedness combines easy-to-deploy solar-powered sensors and cloud-based predictive analytics to improve real-time situational awareness for alerting emergency services and improving citizen safety.

    North Carolina Collaboratory

    The North Carolina Collaboratory and SAS are using IoT analytics and sensor data from vaccine storage freezers to strengthen cold chain integrity, thereby minimizing waste and helping ensure efficient vaccine delivery to underserved communities.

    GE Transportation은 고객이 IoT 환경을 응집력 있고 일관성 있게 관리할 수 있게 해주는 생태계(Ecosystem)를 구축하기 위해 SAS의 분석 기술을 사용하고 있습니다.

    AI 및 머신 러닝

    AI와 머신 러닝 기능이 내장된 고급 분석 솔루션을 사용하면 다양한 정형 및 비정형 IoT 데이터 소스를 분석할 수 있습니다. 다양한 SAS 및 오픈 소스 머신 러닝/고빈도 분석 기술 중에서 원하는 것을 선택하여 스트리밍 데이터를 이해하고 즉시 적용 가능한 분석 정보를 확인해 보십시오. .

    Lockheed Martin은 복잡한 장비에 대한 예측적 유지보수를 혁신하고 항공기가 핵심 임무를 계속 수행하도록 돕기 위해 머신 러닝을 사용하고 있습니다.

    스트리밍 분석

    스트리밍 데이터를 고급 분석 및 AI에 결합하여 실시간 의사 결정을 가능하게 하는 패턴을 알아냅니다. 또한 저장 데이터의 풍부한 이력 정보를 사용하여 고급 분석 기술과 수학적 알고리즘을 개발합니다. 저장 데이터는 데이터 스트림으로 인코딩할 수 있기 때문에 스트리밍 데이터를 지속적으로 스코어링 할 수 있습니다.

    독일의 스포츠 분석 업체인 SciSports는 AI를 사용해 스트리밍 축구 데이터를 실시간으로 분석하여 선수 영입부터 축구팬들이 즐기는 VR에 이르기까지 모든 것을 혁신하고 있습니다.

    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.

    American Honda

    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.

    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.

    Rijkswaterstaat

    Rijkswaterstaat moved from reactive to predictive infrastructure maintenance – with real-time insights on traffic, tunnels, bridges, floodgates and locks – using a modern AI, IoT and analytics platform powered by SAS Viya.

    에지부터 클라우드에 이르기까지 IoT와 AI를 위한 산업 애플리케이션

    다양한 산업 분야에서 IoT 데이터를 최대한 활용하여 새로운 수익원을 발굴하고 운영 효율성을 높이며 차별화된 고객 경험을 창출하는 데 SAS IoT 분석 솔루션의 AI가 어떤 도움이 되는지 확인해 보십시오.

    SAS and the Artificial Intelligence of Things (AIoT)

    Gain true value from IoT data through data and AI.


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