A Technology Broker and Management Company Specializing in KM Systems
Favorite This September, National Suicide Prevention Awareness Month feels different. Over the past nine months, LGBTQ youth have experienced unique challenges in relation to COVID-19.The pandemic has amplified existing mental health disparities and created new problems that have impacted the daily lives of many LGBTQ youth. As the world’s largest
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Shared by Google AI Technology September 30, 2020
Favorite Courtesy of Patrick Lambe, please find below my video related to KM and Covid, presented at the ISKO singapore meeting on KM and the Covid Crisis ISKO SG KM and Covid Event – Nick Milton from Patrick Lambe on Vimeo. View Original Source (nickmilton.com) Here.
Favorite Apache Spark is a unified analytics engine for large scale, distributed data processing. Typically, businesses with Spark-based workloads on AWS use their own stack built on top of Amazon Elastic Compute Cloud (Amazon EC2), or Amazon EMR to run and scale Apache Spark, Hive, Presto, and other big data
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Shared by AWS Machine Learning September 30, 2020
Favorite How do you know KM is failing in your organisation? This was a question raised yesterday at a workshop I ran a few years back at KM World. FAIL by amboo who? on Flickr Assuming you have introduced KM, embedded it into business processes, and the central KM team
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Shared by Nick Milton September 29, 2020
Favorite Bidirectional Encoder Representations from Transformers (BERT) [1] has become one of the most popular models for natural language processing (NLP) applications. BERT can outperform other models in several NLP tasks, including question answering and sentence classification. Training the BERT model on large datasets is expensive and time consuming, and
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Favorite A typical machine learning (ML) workflow involves processes such as data extraction, data preprocessing, feature engineering, model training and evaluation, and model deployment. As data changes over time, when you deploy models to production, you want your model to learn continually from the stream of data. This means supporting
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Favorite AWS has expanded the availability of Amazon EC2 Inf1 instances to four new AWS Regions, bringing the total number of supported Regions to 11: US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Mumbai, Singapore, Sydney, Tokyo), Europe (Frankfurt, Ireland, Paris), and South America (São Paulo). Amazon EC2
Read More Shared by AWS Machine Learning September 29, 2020
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
Read More 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
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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