Terms Glossary A Anomaly Detection
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Anomaly Detection

A statistical technique that determines what patterns are normal and then identifies items that do not conform to those patterns. It is applicable in intrusion detection, fraud detection, system health monitoring, event detection in sensor networks, and detecting eco-system disturbances.
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Unlike simple classification where the classes are known in advance, in anomaly detection the users don’t know what they are looking for in the data. Anomaly detection is applicable in a variety of domains, such as intrusion detection, fraud detection, fault detection, system health monitoring, event detection in sensor networks, and detecting Eco-system disturbances. It is often used in preprocessing to remove anomalous data from the dataset. In supervised learning, removing the anomalous data from the dataset often results in a statistically significant increase in accuracy.
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Hewlett Packard Enterprise (HPE)
Hewlett Packard Enterprise (HPE)
Hewlett Packard Enterprise or HPE (formerly HP) makes IT environments more efficient, productive and secure, enabling fast, flexible responses to a rapidly changing competitive landscape. They enable organizations to act quickly on ideas by delivering infrastructure that can be easily composed and recomposed to meet shifting demands, so they can lead in today’s marketplace of disruptive innovation. Year founded: 2015 (1939) Revenue: $53.0 billion (2014) NYSE: HPE
Subex
Subex
Subex is today securing IoT projects across 100 countries around the world. We specialize in identifying, assessing, categorizing and mitigating existing and emerging threats. Our offerings can serve your enterprise by securing critical assets and infrastructure components from threats such as Malware, ransomware, DDOS attacks and others from detection to mitigation. Our offerings include
Shield IoT
Shield IoT
Shield-IoT provides real-time cyber security and analytics Digital Transformation software solutions, to monitor and secure mass scale B2B IoT/IIoT networks.Based on 15 years of Coreset-AI academic research (MIT, Haifa university), 50+ academic papers and 6 patents, Shield-IoT technology enables accurate analytics at mass scale.
Connectedthinks
Connectedthinks
Industrial data platformThe ConnectedThinks Industrial data platform is capable of connecting to multiple industrial data sources, correlating and transforming the data into useful insights, and helping improve the efficiency of your industrial business.Edge ConnectorsThe edge-connectors suite is a middleware deployable on ARM or X86-based Industrial edge IoT gateways. It enables quick connection and rapid onboarding of various assets such as machinery, sensors, asset trackers, Bluetooth beacons, and IP Video streams as well as OT assets such as PLC, SCADA, CNC, and HMI – to name a few. It offers secure device management and remote connection. Data PlatformThe ConnectedThinks data platform is a modern technology stack, built-to-scale to ingest and process high-speed, high-density, and real-time industrial data. Its functionality could be split into 3 primary parts – the data-ingest, the data-transform-&-store, and the data-query part.The data-ingest part consists of a high-performant MQTT broker and a highly-scalable, multi-cluster Kafka messaging queue which together can ingest and process data at a very high speed.The data-transform-&-storage part is built on top of Kafka KSQLdb and Apache Spark with real-time data transformation and the ability to integrate real-time machine-learning predictions for Anomaly Detection and other Predictive Maintenance tasks. The platform offers out-of-the-box connectors to store data on almost any database, data warehouse, or even into S3-storage compatible Data Lakes with efficient storage formats like PARQUET and AVRO.The data-query part consists of multiple custom-built connectors to various SQL and pseudo-SQL databases and storages along with highly-scalable PRESTO (a.k.a prestodb)Together it forms a complete Industry 4.0 offering for data intelligence and integration. The entire offering is built with Microservices and dockerized to make it suitable for deployment on-prem, private-cloud, or Public Cloud like AWS, Azure, or Google. Data visualization & BIConnectedThinks platform offers a custom-built visualization engine, built from the ground up to serve the specific requirements of industrial operations which demand a combination of real-time diagnostic monitoring for high-speed data, a SCADA-like monitoring system with visual aids and historical data analytics with data ranging from a few weeks to couple years. It is built on top of front-end REACT-js libraries along with Authentication and fine-grain access Authorization to deliver a secure web portal that is accessible from any corner of the world. The platform is also pre-integrated with Apache Superset and offers embedded dashboards as well as quick drag-and-drop data exploration. The prestodb query engine ODBC connectors enable you to import and explore data from your existing BI solutions such as Tableau, Looker, PowerBI, etc,
CIMCON Digital
CIMCON Digital
CIMCON Digital, part of CIMCON Group. with nearly 33 years of experience in Industrial Automation, and working with many Manufacturing companies, and PSUs in their Automation roadmap and implementation, now tapping into the IIoT market. We are into condition monitoring and Edge Computing smart solution on the dashboard.- Predictive Maintenance Solution & Vibration Sensors: captures Tri-axial Vibrations, temperature, and Noise of rotating equipment and with AI/ML can predict the failures of machines which helps in reducing downtime and increasing the OEE.- Edge IoT platform: To connect various industrial assets to a single platform for Edge Computing which sends only normalized data over the cloud for further analytics.
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