A Technology Broker and Management Company Specializing in KM Systems
Favorite With the 2020 football season kicking off, Amazon Web Services (AWS) is continuing its work with the National Football League (NFL) on several ongoing game-changing initiatives. Specifically, the NFL and AWS are teaming up to develop state-of-the-art cloud technology using machine learning (ML) aimed at aiding the officiating process
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Shared by AWS Machine Learning September 26, 2020
Favorite Many organizations use Amazon SageMaker for their machine learning (ML) requirements and source data from a data lake stored on Amazon Simple Storage Service (Amazon S3). The petabyte scale source data on Amazon S3 may not always be clean because data lakes ingest data from several source systems, such
Read More Shared by AWS Machine Learning September 26, 2020
Favorite Amazon Comprehend Custom Classification API enables you to easily build custom text classification models using your business-specific labels without learning ML. For example, your customer support organization can use Custom Classification to automatically categorize inbound requests by problem type based on how the customer has described the issue. You can
Read More Shared by AWS Machine Learning September 26, 2020
Favorite My favourite definition of Knowledge Management is the current ISO definition – “Management with a focus on knowledge”. But what activities does this management involve? RSiegel week 3 by Rebecca Siegel on Flickr I took an online collection of 65 KM definitions (now no longer available I am afraid)
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Shared by Nick Milton September 25, 2020
Favorite Amazon Lex provides the power of automatic speech recognition (ASR) for converting speech to text, along with natural language understanding (NLU) for recognizing user intents. This combination allows you to develop sophisticated conversational interfaces using both voice and text for chatbots, IVR bots, and voicebots. This week, we’re announcing
Read More Shared by AWS Machine Learning September 25, 2020
Favorite The modeling phase is a highly iterative process in machine learning (ML) projects, where data scientists experiment with various data preprocessing and feature engineering strategies, intertwined with different model architectures, which are then trained with disparate sets of hyperparameter values. This highly iterative process with many moving parts can,
Read More Shared by AWS Machine Learning September 25, 2020
Favorite In this post, we show you how to select the right metadata for your use case when building a recommendation engine using Amazon Personalize. The aim is to help you optimize your models to generate more user-relevant recommendations. We look at which metadata is most relevant to include for
Read More Shared by AWS Machine Learning September 25, 2020
Favorite In recent years, businesses are increasingly looking for ways to integrate the power of machine learning (ML) into business decision-making. This post demonstrates the use case of creating an optimal incentive program to offer customers identified as being at risk of leaving for a competitor, or churning. It extends
Read More Shared by AWS Machine Learning September 25, 2020
Favorite Optical character recognition (OCR) technology, which enables extracting text from an image, has been around since the mid-20th century, and continues to be a research topic today. OCR and document understanding are still vibrant areas of research because they’re both valuable and hard problems to solve. AWS has been
Read More Shared by AWS Machine Learning September 25, 2020
Favorite Implementing Knowledge Management involves identifying opportunities where KM can help the business. But how do you spot these opportunities? My Name is Opportunity, by One Way Stock, on Flickr Implementing KM is not just a case of top-down roll-out of a Knowledge Management framework, but should involve looking for
Read More Shared by Nick Milton September 24, 2020