Plantweb Optics ingests data from several disparate OT data sources/data types located either on the plant/shop f loor or manufacturing systems. Plantweb Optics then curates/contextualizes and streams it on to data consumers on AWS to drive digital transformation accelerators including machine learning/artificial intelligence (ML/AI). Amazon Athena 5 Sagemaker 9 Plantweb’s digital stack enables secure and real time OT data stream solution that can be scaled for Enterprise deployments. 2 3 4 5 6 7 7 8 9 Plantweb Optics provides producers for Kinesis, Kafka, and MQTT, along with a REST API. These producers send data to Amazon Kinesis Data Streams, Amazon Managed Streaming for Apache Kafka (MSK) and AWS IoT Core, respectively. Amazon Kinesis Data Firehose loads the streaming data reliably into Amazon Simple Storage Service (Amazon S3) as part of the AWS data lake. AWS Lake Formation makes it easy to set up a secure data lake. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions. Develop, train, and deploy ML models with Amazon SageMaker. Store structured data sets and analytics results in a data warehouse using Amazon Redshift. Create business intelligence reports and visualize data with Amazon QuickSight from Amazon Redshift and from Amazon S3 using Amazon Athena. Amazon Managed Service for Grafana (AMG) is a fully managed service based on open source Grafana, which makes it easy to visualize and analyze operational data at scale. AWS Lambda provides serverless compute and allows for read/write services to the Plantweb Optics REST API. This functionality allows the results of A
