A Technology Broker and Management Company Specializing in KM Systems
Favorite At re:Invent 2019, AWS shared the fastest training times on the cloud for two popular machine learning (ML) models: BERT (natural language processing) and Mask-RCNN (object detection). To train BERT in 1 hour, we efficiently scaled out to 2,048 NVIDIA V100 GPUs by improving the underlying infrastructure, network, and ML framework. Today,
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Shared by AWS Machine Learning May 28, 2020
Favorite If you want someone to buy something, they need to be convinced that it is worth the investment. If your product is a good one, then you can convince people by letting them try before they buy. That’s why Apple allows you to play with all its products in
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Shared by Nick Milton May 28, 2020
Favorite Managing the complete lifecycle of a deep learning project can be challenging, especially if you use multiple separate tools and services. For example, you may use different tools for data preprocessing, prototyping training and inference code, full-scale model training and tuning, model deployments, and workflow automation to orchestrate all
Read More Shared by AWS Machine Learning May 27, 2020
Favorite Heuristics, or “rules of thumb” are how many decisions get made. Here’s how KM can support this. N44 rule of thumb by Timothy Valentine on Flickr In the seminal book “Working Knowledge”, Larry Prusak and Tom Davenport take a wise and insightful overview of the whole topic of Knowledge
Read More Shared by Nick Milton May 27, 2020
Favorite Results from the Knoco 2020 global survey of Knowledge Management seem to show that the use of Communities of Practice is in decline. Every three years since 2014, knoco has conducted a global survey of Knowledge Management. The latest survey is completed, and the final report written (go here
Read More Shared by Nick Milton May 26, 2020
Favorite In recent years, AWS customers have been running machine learning (ML) on an increasing variety of datasets and data sources. Because a large percentage of organizational data is stored in relational databases such as Amazon Aurora, there’s a common need to make this relational data available for training ML
Read More Shared by AWS Machine Learning May 22, 2020
Favorite Developers, to help you advance your AI and machine learning (ML) skills with hands-on and engaging learning, the AWS Machine Learning Scholarship Program from Udacity is now open for enrollment. AWS and Udacity are collaborating to educate developers of all skill levels to expand their AWS ML expertise. In
Read More Shared by AWS Machine Learning May 20, 2020
Favorite AWS is excited to announce the general availability of Amazon SageMaker integration in QuickSight. You can now integrate your own Amazon SageMaker ML models with QuickSight to analyze the augmented data and use it directly in your business intelligence dashboards. As a business analyst, data engineer, or data scientist,
Read More Shared by AWS Machine Learning May 19, 2020
Favorite Age-related macular degeneration (AMD) is the biggest cause of sight loss in the UK and USA and is the third largest cause of blindness across the globe. The latest research collaboration between Google Health, DeepMind and Moorfields Eye Hospital is published in Nature Medicine today. It shows that artificial intelligence
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Shared by Google AI Technology May 18, 2020
Favorite Veeva Systems is a provider of cloud-based software for the global life sciences industry, which offers products that serve multiple domains ranging from clinical, regulatory, quality, and more. Veeva’s Vault Platform manages both content and data in a single platform that allows you to deploy powerful applications that manage
Read More Shared by AWS Machine Learning May 16, 2020