Favorite What is your organisation’s learning rate? What could KM increase this to? And what’s the value of the difference? Over time, with any product or process, the costs come down. The rate of decrease is known as the learning rate. One value proposition for Knowledge Management is to accelerate
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Shared by Nick Milton August 17, 2021
Favorite You can use AWS Snowball Edge devices in locations like cruise ships, oil rigs, and factory floors with limited to no network connectivity for a wide range of machine learning (ML) applications such as surveillance, facial recognition, and industrial inspection. However, given the remote and disconnected nature of these
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Shared by AWS Machine Learning August 12, 2021
Favorite In a machine learning (ML) journey, one crucial step before building any ML model is to transform your data and design features from your data so that your data can be machine-readable. This step is known as feature engineering. This can include one-hot encoding categorical variables, converting text values
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Shared by AWS Machine Learning August 12, 2021
Favorite This is a guest post by Ernesto DiMarino, who is Head of Enterprise Applications and Data at Cortica. Cortica is on a mission to revolutionize healthcare for children with autism and other neurodevelopmental differences. Cortica was founded to fix the fragmented journey families typically navigate while seeking diagnoses and
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Shared by AWS Machine Learning August 11, 2021
Favorite As more machine learning (ML) workloads go into production, many organizations must bring ML workloads to market quickly and increase productivity in the ML model development lifecycle. However, the ML model development lifecycle is significantly different from an application development lifecycle. This is due in part to the amount
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Shared by AWS Machine Learning August 11, 2021
Favorite Still the confusion remains between Information Management/Enterprise Content Management and Knowledge Management. Here are 5 points of difference and 1 point of overlap. In fact these pictures only have one point of similarlity. Much like KM and IM/ECM I have covered the difference between KM and IM many times
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Shared by Nick Milton August 10, 2021
Favorite Amazon Comprehend is a natural language processing (NLP) service that provides APIs to extract key phrases, contextual entities, events, sentiment from unstructured text, and more. Entities refer to things in your document such as people, places, organizations, credit card numbers, and so on. But what if you want to
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Shared by AWS Machine Learning August 10, 2021
Favorite This post was cowritten by Ziv Pollak, Machine Learning Team Lead, and Alex Thoreux, Web Analyst at Clearly. A pioneer in online shopping, Clearly launched their first site in 2000. Since then, they’ve grown to become one of the biggest online eyewear retailers in the world, providing customers across
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Shared by AWS Machine Learning August 10, 2021
Favorite Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations—no ML expertise required. Amazon Personalize makes it easy for developers to build applications capable of delivering a wide array of personalization experiences, including specific product recommendations, personalized product
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Shared by AWS Machine Learning August 10, 2021
Favorite Accenture is known for pioneering innovative solutions to achieve customer success by using artificial intelligence (AI) and machine learning (ML) powered solutions with AWS services. To keep teams updated with latest ML services, Accenture seeks to gamify hands-on learning. One such event, AWS DeepComposer Battle of the Bands, hosted
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Shared by AWS Machine Learning August 7, 2021