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

AWS Machine Learning

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. This will provision the backend infrastructure and services that the sales analytics application will rely on. You’ll use this file when setting up your function to query sales data.

APIs 107
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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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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

Analytics 127
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Process mortgage documents with intelligent document processing using Amazon Textract and Amazon Comprehend

AWS Machine Learning

In the final phase of the process, the extracted and validated data is sent to downstream systems for further storage, processing, or data analytics. The following is a high-level overview of the steps involved: Extract UTF-8 encoded plain text from image or PDF files using the Amazon Textract DetectDocumentText API.

APIs 109
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How to Evaluate Call Center Software Vendors for Customer Data Platform Solutions

NobelBiz

Understanding Customer Data Platforms (CDPs) Although similar tools existed in the past, the term Customer Data Platform was first used in 2010. Ask about their API integrations API integrations are important when a call center looks for a CDP vendor because they allow businesses to connect their existing systems and tools to the CDP.

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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning

With efficient querying, aggregation, and analytics, businesses can extract valuable insights from time-stamped data. If you need an automated workflow or direct ML model integration into apps, Canvas forecasting functions are accessible through APIs. Through Atlas Data Federation, data is extracted into Amazon S3 bucket.

Finance 122
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A review of purpose-built accelerators for financial services

AWS Machine Learning

The financial services industry (FSI) is no exception to this, and is a well-established producer and consumer of data and analytics. This mostly non-technical post is written for FSI business leader personas such as the chief data officer, chief analytics officer, chief investment officer, head quant, head of research, and head of risk.

Benchmark 115