Remove Data Lakes Remove Events Remove Internet of Things
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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

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How Apollo Tyres is unlocking machine insights using agentic AI-powered Manufacturing Reasoner

AWS Machine Learning Blog

The company collaborated with Amazon Web Services (AWS) to implement a centralized data lake using AWS services. Additionally, Apollo Tyres enhanced its capabilities by unlocking insights from the data lake using generative AI powered by Amazon Bedrock across business values.

AI 119
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Diagnostic analytics: Diagnostic analytics goes a step further by analyzing historical data to determine why certain events occurred. By understanding the “why” behind past events, organizations can make informed decisions to prevent or replicate them. Ensure that data is clean, consistent, and up-to-date.

Analytics 203
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Generate actionable insights for predictive maintenance management with Amazon Monitron and Amazon Kinesis

AWS Machine Learning Blog

With the recently launched Amazon Monitron Kinesis data export v2 feature , your OT team can stream incoming measurement data and inference results from Amazon Monitron via Amazon Kinesis to AWS Simple Storage Service (Amazon S3) to build an Internet of Things (IoT) data lake. Choose Create delivery stream.

AWS 98
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Introduction to Apache NiFi and Its Architecture

Pickl AI

Flow-Based Programming : NiFi employs a flow-based programming model, allowing users to create complex data flows using simple drag-and-drop operations. This visual representation simplifies the design and management of data pipelines. Guaranteed Delivery : NiFi ensures that data delivered reliably, even in the event of failures.

ETL 52
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Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment

AWS Machine Learning Blog

Traditional maintenance activities rely on a sizable workforce distributed across key locations along the BHS dispatched by operators in the event of an operational fault. With this service, industrial sensors, smart meters, and OPC UA servers can be connected to an AWS data lake with just a few clicks.

AWS 113
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What Can AI Teach Us About Data Centers? Part 1: Overview and Technical Considerations

ODSC - Open Data Science

Remote Work: With technological advancements, companies are increasingly enabling remote work, which enables employees to work from anywhere and eliminates the need for a physical data center. This allows for faster and more efficient processing of data by reducing the distance that data must travel.