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Guest Blog: Don’t Waste My Precious Time

ShepHyken

This week on our Friends on Friday guest blog post my colleague, Dan Rood, writes about the precious commodity of time and why we must use the latest technologies to help customers save time and have amazing customer experiences. Insight technologies that deliver personalization and predictive analytics. Shep Hyken.

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Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock

AWS Machine Learning

In this blog post, we showcase a powerful solution that seamlessly integrates AWS generative AI capabilities in the form of large language models (LLMs) based on Amazon Bedrock into the Office experience. Note that these APIs use objects as namespaces, alleviating the need for explicit imports.

APIs 114
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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning

In this blog post, we’ll focus on Amazon Bedrock IDE and its generative AI capabilities within the Amazon SageMaker Unified Studio environment. SageMaker Unified Studio setup SageMaker Unified Studio is a browser-based web application where you can use all your data and tools for analytics and AI.

APIs 107
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.

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Speed up your time series forecasting by up to 50 percent with Amazon SageMaker Canvas UI and AutoML APIs

AWS Machine Learning

In this post, we describe the enhancements to the forecasting capabilities of SageMaker Canvas and guide you on using its user interface (UI) and AutoML APIs for time-series forecasting. While the SageMaker Canvas UI offers a code-free visual interface, the APIs empower developers to interact with these features programmatically.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. The integration with Amazon Bedrock is achieved through the Amazon Bedrock InvokeModel APIs.

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Combine keyword and semantic search for text and images using Amazon Bedrock and Amazon OpenSearch Service

AWS Machine Learning

Based on OpenSearch blog post , hybrid search improves result quality by 812% compared to keyword search and by 15% compared to natural language search. OpenSearch is a distributed open-source search and analytics engine composed of a search engine and vector database.