Favorite This post is co-authored by Marios Skevofylakas, Jason Ramchandani and Haykaz Aramyan from Refinitiv, An LSEG Business. Financial service providers often need to identify relevant news, analyze it, extract insights, and take actions in real time, like trading specific instruments (such as commodities, shares, funds) based on additional information
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Shared by AWS Machine Learning January 11, 2023
Favorite Looking back at Google’s 2022 progress in principled AI innovation and ahead to 2023 and beyond. View Original Source (blog.google/technology/ai/) Here.
Favorite Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data
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Shared by AWS Machine Learning January 10, 2023
Favorite Machine learning (ML) applications are complex to deploy and often require the ability to hyper-scale, and have ultra-low latency requirements and stringent cost budgets. Use cases such as fraud detection, product recommendations, and traffic prediction are examples where milliseconds matter and are critical for business success. Strict service level
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Shared by AWS Machine Learning January 9, 2023
Favorite If you’ve had the opportunity to build a search application for unstructured data (i.e., wiki, informational web sites, self-service help pages, internal documentation, etc.) using open source or commercial-off-the-shelf search engines, then you’re probably familiar with the inherent accuracy challenges involved in getting relevant search results. The intended meaning
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Shared by AWS Machine Learning January 9, 2023
Favorite This post is co-written by Hesham Fahim from Thomson Reuters. Thomson Reuters (TR) is one of the world’s most trusted information organizations for businesses and professionals. It provides companies with the intelligence, technology, and human expertise they need to find trusted answers, enabling them to make better decisions more
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Shared by AWS Machine Learning January 6, 2023
Favorite The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. This was the first and only APEJ-specific analyst evaluation focused on AI life-cycle software from IDC. The vendors evaluated for this MarketScape offer various software tools
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Shared by AWS Machine Learning January 6, 2023
Favorite This three-part series demonstrates how to use graph neural networks (GNNs) and Amazon Neptune to generate movie recommendations using the IMDb and Box Office Mojo Movies/TV/OTT licensable data package, which provides a wide range of entertainment metadata, including over 1 billion user ratings; credits for more than 11 million
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Shared by AWS Machine Learning January 6, 2023
Favorite Amazon Lex is an AWS service for building conversational interfaces into any application using voice and text, enabling businesses to add sophisticated, natural language chatbots across different channels. Amazon Lex uses machine learning (ML) to understand natural language (normal conversational text and speech). In this post, we go through
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Shared by AWS Machine Learning January 6, 2023
Favorite There are many things that the world leaders in KM have in common. Here are 11 of them. 1. A focus on driving their performance through knowledge. Whether this is Shell drilling wells faster, NASA cutting cycle time, Severn Trent improving their efficiency – all successful KM companies link KM activity to
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Shared by Nick Milton January 5, 2023
Shared by AWS Machine Learning January 11, 2023
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