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.

Today, we are announcing the general availability of logs in the AWS Distro for OpenTelemetry (ADOT). ADOT is a secure, production-ready, AWS supported distribution of the OpenTelemetry project. With this launch, customers can use the ADOT collector and supported OpenTelemetry SDKs (for Java, JavaScript, .NET, and Python) to collect and send logs to Amazon CloudWatch and backends supporting OpenTelemetry Protocol (OTLP) such as Amazon OpenSearch (AOS).

Over 600 out of 770 OpenAI employees are said to have signed this letter below: ‘To the Board of Directors at OpenAI, “OpenAI is the world’s leading AI company. We, …

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Thanks to arka.com for this one – the ten most expensive danger-thrills: Activity Price Riskiness Number of People Fly Around the Moon $150,000,000 Very high risk 24 Space Travel $55,000,000 …

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