dataPARC Historian
Get better performance from your time-series data with the dataPARC Historian, an enterprise-grade solution designed to elevate industrial data operations to new heights.
The dataPARC Historian simplifies complex data sharing, ensuring seamless collaboration across departments with enhanced security and performance. Its compatibility with external AI, ML, and cloud applications via an open architecture increases adaptability and strategic insights.
Experience rapid data access, enriched manufacturing intelligence, and a platform that grows with your business needs. dataPARC historian is the smart choice for enterprises aiming for the forefront of operational excellence.
The dataPARC historian is more than a data historian; it's a gateway to unlocking greater flexibility and efficiency in leveraging your time-series data. It's crafted for those who demand reliability, speed, and intuitive use, making every data interaction impactful.
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RemoteAware GenAI Analytics Platform
RemoteAware™ GenAI Analytics Platform for IoT transforms complex streams of sensor and device data into clear, actionable insights using advanced generative AI models. It ingests and normalizes high‑volume, heterogeneous IoT data, whether from edge gateways, cloud APIs, or remote assets, and applies scalable AI pipelines to detect anomalies, forecast equipment failures, and generate prescriptive recommendations in plain‑language narratives. Through a unified, web‑based dashboard, users gain real‑time visibility into key performance indicators, customizable alerts and threshold‑based notifications, and dynamic drill‑down capabilities for time‑series analysis. The platform’s generative summary reports condense vast datasets into concise operational briefs, while its root‑cause analysis and what‑if simulations guide preventive maintenance and resource allocation.
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Datonis
A next-generation digital manufacturing platform powered by the Internet of Things. Datonis has out-of-the box apps for monitoring, measuring, analyzing and predicting outcomes using the power of AI. A platform-based approach to seamlessly connect IT/OT systems and monetize know-how as new applications and offerings. Interplant process benchmarking, predictive quality models, real-time quality audit compliance. Process compliance alerts, Cpk trends, quality rejection & scrap monitoring, process correlations with defects. Checklist schedule violation alerts, trend analysis of checklist data, flexible framework to define different types of checklists. Get checklist notifications, record observations on tablets, refer to photos and videos before making a decision on checklist items. Interactive app for operators to engage with the platform and monitor progress in real-time. Operator workbench to provide inputs, raise alarms, call for support, and refer to the engineering documentation.
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SAS Analytics for IoT
Access, organize, select and transform IoT data with this complete, AI-embedded solution. SAS Analytics for IoT covers the entire Internet of Things analytics life cycle, providing streamlined, extensible ETL, a sensor-focused data model, advanced analytics, and an industry-leading streaming execution engine to perform multi-phase analytics. SAS Analytics for IoT is built on SAS® Viya® and runs in a fast, in-memory distributed environment. Learn how to build SAS Event Stream Processing applications that ingest high-volume and high-velocity data streams, respond in real time, and store only relevant data elements. This course covers basic concepts of event stream processing, including what component objects are available to build event stream processing applications. Curiosity is our code. SAS analytics solutions transform data into intelligence, inspiring customers around the world to make bold new discoveries that drive progress.
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