December 2023

Last Updated: [Date] Introduction¶ In the world of customer service, delivering seamless omnichannel experiences is paramount. Customers want to connect with businesses through various channels, including calls, chats, and, more recently, SMS. Recognizing this need, Amazon Connect, the cloud-based contact center service from Amazon Web Services (AWS), now supports two-way SMS functionality through integration with …

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In an exciting development, AWS has announced the integration of Amazon DynamoDB with Amazon Redshift, allowing customers to seamlessly run high-performance analytics on their DynamoDB data. This integration, known as zero-ETL, eliminates the need for customers to build and maintain complex data pipelines for performing traditional extract, transform, and load (ETL) operations. In this comprehensive …

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Knowledge Bases for Amazon Bedrock is a powerful and fully managed Real-Time Answer Generator (RAG) capability. With this tool, you can easily customize your responses with contextual and relevant company data. By pointing to the location of your data in Amazon S3, Knowledge Bases for Amazon Bedrock takes care of the entire ingestion workflow into …

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Customers today are increasingly relying on generative AI applications to enhance user experiences and provide valuable services. However, ensuring that these applications deliver relevant and safe content is of utmost importance. While many generative AI models come with built-in content filtering capabilities, it is often necessary for customers to further customize these protections to align …

Safeguard Generative AI Applications with Guardrails for Amazon Bedrock (Preview) Read More »

Introduction¶ Amazon Redshift is a powerful data warehouse and data lakes solution that allows customers to run a wide range of workloads on various open table formats. With the recent announcement of general availability, Amazon Redshift now offers support for Apache Iceberg. This guide will provide an in-depth overview of the integration between Amazon Redshift …

Guide to Using Apache Iceberg with Amazon Redshift Read More »

Introduction¶ In today’s digital age, the threat of cyberattacks and data breaches is ever-present. Businesses around the world are constantly looking for ways to protect themselves and mitigate the potential risks associated with cybersecurity incidents. One effective solution that many organizations are turning to is cyber insurance, which provides financial protection in the event of …

Request a Cyber Insurance Quote from an AWS Cyber Insurance Competency Partner Read More »

Introduction¶ In the era of big data, privacy concerns have become increasingly significant. Organizations handling sensitive data need to ensure that individual privacy is protected while still being able to analyze and generate valuable insights. AWS Clean Rooms Differential Privacy offers a cutting-edge solution to this problem. In this comprehensive guide, we will explore the …

AWS Clean Rooms Differential Privacy: A Comprehensive Guide Read More »

Introduction¶ Amazon Web Services (AWS) continues to evolve its services to enhance manageability and usability for its users. In this guide, we will dive deep into the enhanced features of Amazon Redshift Serverless, a powerful data warehousing solution offered by AWS. Specifically, we will focus on cross-account cross-VPC accessibility, custom domain configuration, snapshot scheduling, CRC …

An Ultimate Guide to Enhanced Manageability and Usability Features for Amazon Redshift Serverless Read More »

Table of Contents¶ Introduction What is Amazon Neptune Analytics? Key Features of Neptune Analytics Benefits of Neptune Analytics Getting Started with Neptune Analytics Prerequisites Setting up a Neptune Graph Database Loading Data into Neptune Exploring Neptune Analytics Capabilities Analyzing Graph Data with Neptune Analytics Performing Advanced Queries Utilizing Graph Algorithms Integrating with Other AWS Services …

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Generative AI models represent data as vector embeddings which are numerical representations of customers’ text, image, audio, or video data, including its semantic meaning. Vector representations allow semantically similar data to be located in close proximity, enabling the Vector Engine to return contextually relevant results. With the Vector Engine, developers can store, update, and search …

Vector Engine for Amazon OpenSearch Serverless Read More »