The top 7 types of plan you may need as part of KM in the new normal
Favorite Introducing KM means also introducing plans for KM, at different levels in the organisation. Here are a few of the plans you may need, depending on your context.
Favorite Introducing KM means also introducing plans for KM, at different levels in the organisation. Here are a few of the plans you may need, depending on your context.
Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps required to prepare data, as well as build, train, and deploy models. We recently introduced the ability to visually
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Shared by AWS Machine Learning December 3, 2021
Favorite In Part 1 of this series, we offered step-by-step guidance for creating, connecting, stopping, and debugging Amazon EMR clusters from Amazon SageMaker Studio in a single-account setup. In this post, we dive deep into how you can use the same functionality in certain enterprise-ready, multi-account setups. As described in
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Shared by AWS Machine Learning December 3, 2021
Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. With Amazon
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Shared by AWS Machine Learning December 3, 2021
Favorite Today, we’re launching the Amazon Lex automated chatbot designer (preview), which reduces the time and effort it takes for customers to design a chatbot by automating the process using existing conversation transcripts. Amazon Lex helps you build, test, and deploy chatbots and virtual assistants on contact center services (such
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Shared by AWS Machine Learning December 3, 2021
Favorite AWS BugBust is the first global bug-busting challenge for developers to eliminate 1 million software bugs and save $100 million in technical debt for their organizations. AWS BugBust allows you to create and manage private events that transform and gamify the process of finding and fixing bugs in your
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Shared by AWS Machine Learning December 3, 2021
Favorite Today, we’re launching the Amazon Lex automated chatbot designer (preview), which reduces the time and effort it takes for customers to design a chatbot by automating the process using existing conversation transcripts. Amazon Lex helps you build, test, and deploy chatbots and virtual assistants on contact center services (such
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Shared by AWS Machine Learning December 2, 2021
Favorite Unstructured data belonging to enterprises continues to grow, making it a challenge for customers and employees to get the information they need. Amazon Kendra is a highly accurate intelligent search service powered by machine learning (ML). It helps you easily find the content you’re looking for, even when it’s
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Shared by AWS Machine Learning December 2, 2021
Favorite Amazon Kendra customers can now enrich document metadata and content during the document ingestion process using custom document enrichment (CDE). Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find
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Shared by AWS Machine Learning December 2, 2021
Favorite At re:Invent 2021, AWS announced several new Amazon SageMaker features that make machine learning (ML) accessible to new types of users while continuing to increase performance and reduce cost for data scientists and ML experts. In this post, we provide a summary of these announcements, along with resources for
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Shared by AWS Machine Learning December 2, 2021