Unravel the knowledge in Slack workspaces with intelligent search using the Amazon Kendra Slack connector

Favorite Organizations use messaging platforms like Slack to bring the right people together to securely communicate with each other and collaborate to get work done. A Slack workspace captures invaluable organizational knowledge in the form of the information that flows through it as the users collaborate. However, making this knowledge

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Shared by AWS Machine Learning March 16, 2022

Computer vision using synthetic datasets with Amazon Rekognition Custom Labels and Dassault Systèmes 3DEXCITE

Favorite This is a post co-written with Bernard Paques, CTO of Storm Reply, and Karl Herkt, Senior Strategist at Dassault Systèmes 3DExcite. While computer vision can be crucial to industrial maintenance, manufacturing, logistics, and consumer applications, its adoption is limited by the manual creation of training datasets. The creation of

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Shared by AWS Machine Learning March 15, 2022

Automate digitization of transactional documents with human oversight using Amazon Textract and Amazon A2I

Favorite In this post, we present a solution for digitizing transactional documents using Amazon Textract and incorporate a human review using Amazon Augmented AI (A2I). You can find the solution source at our GitHub repository. Organizations must frequently process scanned transactional documents with structured text so they can perform operations

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Shared by AWS Machine Learning March 11, 2022

Make batch predictions with Amazon SageMaker Autopilot

Favorite Amazon SageMaker Autopilot is an automated machine learning (AutoML) solution that performs all the tasks you need to complete an end-to-end machine learning (ML) workflow. It explores and prepares your data, applies different algorithms to generate a model, and transparently provides model insights and explainability reports to help you

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Shared by AWS Machine Learning March 11, 2022

Enhance your SaaS offering with a data science workbench powered by Amazon SageMaker Studio

Favorite Many software as a service (SaaS) providers across various industries are adding machine learning (ML) and artificial intelligence (AI) capabilities to their SaaS offerings to address use cases like personalized product recommendation, fraud detection, and accurate demand protection. Some SaaS providers want to build such ML and AI capabilities

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Shared by AWS Machine Learning March 11, 2022

Build, Share, Deploy: how business analysts and data scientists achieve faster time-to-market using no-code ML and Amazon SageMaker Canvas

Favorite Machine learning (ML) helps organizations increase revenue, drive business growth, and reduce cost by optimizing core business functions across multiple verticals, such as demand forecasting, credit scoring, pricing, predicting customer churn, identifying next best offers, predicting late shipments, and improving manufacturing quality. Traditional ML development cycles take months and

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Shared by AWS Machine Learning March 11, 2022

Transforming qualitative research by automating speech to text-to-text analytics

Favorite This post is authored by Satish Jha, Intelligent Automation Manager, Matt Docherty, Data Science Manager, Jayesh Muley, Associate Consultant and Tapan Vora, Rapid Prototyping, from ZS Associates. At ZS Associates, we do a significant amount of qualitative market research. The work involves interviewing relevant subjects (such as healthcare professionals

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Shared by AWS Machine Learning March 10, 2022