We are announcing the launch of data retrieval query API (ExecuteQuery ) to allow customers to access asset metadata and telemetry data for both operational and analytical use cases. With the new ExecuteQuery API customers can retrieve metadata and time-series data from asset models, assets, measurements, metrics, transforms, and aggregates using SQL-like query statements in a single API request.

AWS IoT SiteWise now supports Asset model components to help industrial customers create reusable components to derive new asset models and express variations easily.

Today, AWS IoT SiteWise is launching multi-variate anomaly detection of industrial assets via integration of historical and real-time equipment data with Amazon Lookout for Equipment. Anomaly detection helps industrial customers quickly identify and visualize changes in equipment or operating conditions thus unlocking Predictive Maintenance use cases.

AWS IoT SiteWise now support bulk import, export, and update industrial equipment metadata. The new bulk APIs for metadata help customers to import their asset model data from diverse systems such as historians in AWS IoT SiteWise at scale.

Amazon QuickSight launched a new analysis experience, enabling a more intuitive and efficient way for authoring dashboards on QuickSight. With the new analysis experience, QuickSight is redesigning the core workflows for authors to be more intuitive, scalable, and efficient. The new analysis experience includes

• 3-pane layout that provides a clear and organized workspace for easy navigation between data, visualization building, and object properties. This includes updates to pane components, new vertically organized field wells, drag and drop fields, add/edit workflow, visual type selector redesign, and the Properties pane.
• The analysis toolbar providing access to essential authoring, editing, and pane-management functions with just a click, allowing authors to work more efficiently across the analysis experience.

Today, we are announcing the launch of a new feature in AWS IoT SiteWise that allows cost-efficient and scalable ingestion of time-series data needed for analytical use cases. Until now, customers have used AWS IoT SiteWise streaming ingestion APIs to ingest telemetry data for real-time use cases within milliseconds. With this new feature, customers can now buffer time-series data streams at the edge before ingesting to the cloud. This lowers ingestion cost for data needed in the cloud within minutes instead of milliseconds. For example, data needed for machine learning applications and BI analytics dashboards that only need to be updated every 15 minutes. The combination of the two ingestion mechanisms allows customers to configure efficient ingestion pipelines for data needed for real-time and analytical applications.

AWS IoT SiteWise now supports warm storage, a fully-managed storage tier that makes it easy for customers to securely store and access industrial data needed for analytics use cases such as business intelligence dashboards and machine learning applications. The warm storage tier allows customers to retain large amounts of historical data at near Amazon S3 cost per GB storage prices. Data stored in the warm tier is optimized for retrieval using AWS IoT SiteWise query API.

Amazon EMR is excited to announce that Amazon EMR Studio is now available in the Africa (Cape Town), Asia Pacific (Jakarta, Osaka), and Europe (Milan).

AWS IoT TwinMaker makes it easier to create digital twins of real-world systems such as buildings, factories and industrial equipment. We are launching three new features in entity modeling to enable customers model, deploy, and scale their digital twins faster and more efficiently.

AWS Entity Resolution is now a HIPAA eligible service, enabling healthcare and life sciences organizations to now use AWS Entity Resolution to match, link, and enhance patient records spread across multiple data stores such as electronic health records (EHRs), diagnostic laboratories, claims, insurance, and billing platforms.