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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. Consumers: They subscribe/pull records from Kafka topics. Let’s dive in!

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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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Snowflake’s Snowpipe Streaming API: A New Way to Save on Storage Costs

phData

In this blog, we’ll explore the new Snowpipe Streaming API feature, why it matters, and how to implement it. What is Snowflake's Snowpipe Streaming API? This can add latency to your streaming data and requires you to store your data in a stage that Snowpipe can access and load into a table.

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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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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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Event-driven architecture (EDA) enables a business to become more aware of everything that’s happening, as it’s happening 

IBM Journey to AI blog

The importance of events is elevated to be on par with application programming interface (API), with facilities to describe, advertise and discover events. Stage 4 – Transformative business strategy A broader range of users are able to access and process event streams to understand their relevance in a business context.

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8 Ways Automatic Speech Recognition Can Increase Efficiency For Your Business

AssemblyAI

Live streaming 6. Using topic detection , which utilizes the IAB taxonomy to categorize transcripts into 698 topics, companies can build tools that map words and sentences under similar topics. But, live streaming is not the most accessible format, especially if you don’t offer live captioning.

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