A Technology Broker and Management Company Specializing in KM Systems
Favorite Multiple pieces of information are often required to complete a task or to process a query. For example, when talking to an insurance agent, a caller might ask, “Can you provide me quotes for home, auto, and boat?” The agent recognizes this as a list of policy types before
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Shared by AWS Machine Learning August 25, 2021
Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning. It provides a single, web-based visual interface where you can perform all ML development steps required to build, train, and deploy models. You can quickly upload data, create new notebooks, train and tune models, move
Read More Shared by AWS Machine Learning August 25, 2021
Favorite “Farmers feed the entire world — so how might we support them to be resilient and build sustainable systems that also support global food security?” It’s a question that Diana Akrong found herself asking last year. Diana is a UX researcher based in Accra, Ghana, and the founding member
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Shared by Google AI Technology August 23, 2021
Favorite Here’s another post from the archives (corrected for some inaccuracy) which makes the case that much of the confusion around Knowledge Management may be due to an uncharacteristic deficiency in the English Language. Knowledge Management has always been in a state of confusion. There is no established understanding of
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Shared by Nick Milton August 23, 2021
Favorite Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. Although Studio provides all the tools you need to take your models from experimentation to production, you need a robust and secure model
Read More Shared by AWS Machine Learning August 19, 2021
Favorite In Part 1 of this series of posts, we offered step-by-step guidance for using Amazon SageMaker, SageMaker projects and Amazon SageMaker Pipelines, and AWS services such as Amazon Virtual Private Cloud (Amazon VPC), AWS CloudFormation, AWS Key Management Service (AWS KMS), and AWS Identity and Access Management (IAM) to
Read More Shared by AWS Machine Learning August 19, 2021
Favorite Today, we’re excited to announce that Amazon SageMaker notebook instances support Amazon Linux 2. You can now choose Amazon Linux 2 for your new SageMaker notebook instance to take advantage of the latest update and support provided by Amazon Linux 2. SageMaker notebook instances are fully managed Jupyter Notebooks
Read More Shared by AWS Machine Learning August 19, 2021
Favorite Amazon SageMaker notebook instances now support Amazon Linux 2, so you can now create a new Amazon SageMaker notebook instance to start developing your machine learning (ML) models with the latest updates. An obvious question is: what do I need to do to migrate my work from an existing
Read More Shared by AWS Machine Learning August 19, 2021
Favorite Before the pandemic, Alicia Chang was working on a new project. “I was experimenting with non-traditional ways to help teach Googlers the AI Principles,” she says. Alicia is a technical writer on the Engineering Education team focused on designing learning experiences to help Googlers learn about our AI Principles
Read More Shared by Google AI Technology August 18, 2021
Favorite Data science workflows have to pass multiple stages as they progress from the experimentation to production pipeline. A common approach involves separate accounts dedicated to different phases of the AI/ML workflow (experimentation, development, and production). In addition, issues related to data access control may also mandate that workflows for
Read More Shared by AWS Machine Learning August 18, 2021