IoT Analytics & Intelligence
Silicus provides services for IoT Analytics & Intelligence to help enterprises store, ingest and process streams of data from IoT sensors and devices, and combine them with click-streams, logs, and device-generated events and historical records to develop solutions for descriptive & diagnostic analytics, and advanced analytics for predictive & prescriptive intelligence. Our IoT Analytics & Intelligence solutions help enterprises optimize performance, processes, experiences and create opportunities for new revenue streams and operational efficiency.
Ingestion & Processing
Build solutions for ingestion and processing of large chunks of IoT generated data and stored in Blob, No-SQL, relational, data lakes, or HDFS for processing.
Run analytics on IoT generated data leveraging tools such as Azure Databricks, Azure HDInsight, Apache Spark. Implement rules and algorithms that generate real time alerts from streaming data.
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 & intelligence solutions for highly responsive integration with systems for automated and augmented actions.
Asset Optimization & Management