Silicus provides services for IoT Analytics to help enterprises store, ingest and process streams of data from IoT sensors and devices, and develop solutions for descriptive & diagnostic analytics, and advanced predictive & prescriptive analytics. Our IoT Analytics solutions help enterprises optimize performance, processes, experiences and create opportunities for new revenue streams and operational efficiency.
Build solutions for ingestion of large chunks of IoT generated data and stored in No-SQL, relational, data lakes, or HDFS for processing. IoT stream processing can apply filters to dramatically reduce the amount of ingested IoT data.
Build solution for processing & enrichment of IoT generated unstructured data leveraging tools such as Apache Spark & Azure HDInsight combined with fast NoSQL stores, for analytics and business intelligence.
Build and deploy machine learning models for pattern & anomaly detection, outcome prediction, prescriptive or optimization recommendations.
Automation & Intelligence
Build solutions for integrating machine learning output with intelligent systems, robotic automation applications, or to be leveraged in the stream processing of new device data.
We help enterprises, technology providers and innovative startups build and deploy innovative IoT analytics solutions for highly responsive IoT analytics and integration with systems for automated and augmented actions.
Asset Optimization & Management