Remove topics stream-processing
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Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

Real-time data streaming pipelines play a crutial role in achieving this objective. Within this article, we will explore the significance of these pipelines and utilise robust tools such as Apache Kafka and Spark to manage vast streams of data efficiently. What is Real-Time Data Processing? Let’s dive in!

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Getting started with Kafka client metrics

IBM Journey to AI blog

Apache Kafka stands as a widely recognized open source event store and stream processing platform. It has evolved into the de facto standard for data streaming, as over 80% of Fortune 500 companies use it. All major cloud providers provide managed data streaming services to meet this growing demand.

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Training Models on Streaming Data [Practical Guide]

The MLOps Blog

What comes into your mind when you hear Streaming Data? May be data generated through video streaming platforms like YouTube, but this is not the only thing which qualifies as streaming data. In this article, we will go through the basics of streaming data, what it is, and how it differs from traditional data.

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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution that is designed to provide a quick and straightforward setup to let you build interactive video experiences and handles interactive video content from ingestion to delivery. Live stream platforms can use flexible rules to moderate visual content.

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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

LMA also provides options for identifying the current meeting topic, and for generating a list of action items with owners and due dates. Do not use this solution to stream, record, or transcribe calls if otherwise prohibited. The summaries are generated from the transcript by Amazon Bedrock.

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Level up your Kafka applications with schemas

IBM Journey to AI blog

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. One of the functions of Kafka is to decouple consuming and producing applications, so that they communicate via a Kafka topic rather than directly. What’s next?

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8 Ways Automatic Speech Recognition Can Increase Efficiency For Your Business

AssemblyAI

Using Automatic Speech Recognition (also known as speech to text AI , speech AI, or ASR), companies can efficiently transcribe speech to text at scale, completing what used to be a laborious process in a fraction of the time. Live streaming 6. And that’s just a glimpse of what’s possible. Content management 2.

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