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Tag: Amazon Kinesis

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

See CHANGELOG for latest features and fixes. You’ve likely experienced the challenge of taking notes during a...

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Create an end-to-end data strategy for Customer 360 on AWS | Amazon Web Services

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used...

Exploring real-time streaming for generative AI Applications | Amazon Web Services

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. FMs, as the name suggests,...

Invoke AWS Lambda functions from cross-account Amazon Kinesis Data Streams | Amazon Web Services

A multi-account architecture on AWS is essential for enhancing security, compliance, and resource management by isolating workloads, enabling granular cost allocation, and facilitating collaboration...

Unlock the potential of generative AI in industrial operations | Amazon Web Services

In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations...

Amazon Managed Service for Apache Flink now supports Apache Flink version 1.18 | Amazon Web Services

Apache Flink is an open source distributed processing engine, offering powerful programming interfaces for both stream and batch processing, with first-class support for stateful...

Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK | Amazon Web Services

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale....

Implementing Near-Real-Time Analytics with Amazon Redshift Streaming Ingestion and Amazon MSK: Best Practices from Amazon Web Services

Amazon Web Services (AWS) offers a wide range of services for data analytics, including Amazon Redshift and Amazon Managed Streaming for Apache Kafka (MSK)....

Build a pseudonymization service on AWS to protect sensitive data: Part 2 | Amazon Web Services

Part 1 of this two-part series described how to build a pseudonymization service that converts plain text data attributes into a pseudonym or vice...

Learn how to migrate to Amazon OpenSearch Serverless using Amazon OpenSearch Ingestion on Amazon Web Services

Learn how to migrate to Amazon OpenSearch Serverless using Amazon OpenSearch Ingestion on Amazon Web Services Amazon OpenSearch is a powerful and scalable search and...

Techniques and approaches for monitoring large language models on AWS | Amazon Web Services

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis....

Simplify data streaming ingestion for analytics using Amazon MSK and Amazon Redshift | Amazon Web Services

Towards the end of 2022, AWS announced the general availability of real-time streaming ingestion to Amazon Redshift for Amazon Kinesis Data Streams and Amazon...

Build an analytics pipeline that is resilient to schema changes using Amazon Redshift Spectrum | Amazon Web Services

You can ingest and integrate data from multiple Internet of Things (IoT) sensors to get insights. However, you may have to integrate data from...

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