Favorite The last few years have seen rapid growth in the field of natural language processing (NLP) using transformer deep learning architectures. With its Transformers open-source library and machine learning (ML) platform, Hugging Face makes transfer learning and the latest transformer models accessible to the global AI community. This can
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Shared by AWS Machine Learning April 26, 2022
Favorite Amazon SageMaker Data Wrangler is a new capability of Amazon SageMaker that helps data scientists and data engineers quickly and easily prepare data for machine learning (ML) applications using a visual interface. It contains over 300 built-in data transformations so you can quickly normalize, transform, and combine features without
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Shared by AWS Machine Learning April 26, 2022
Favorite This is the first post of a four-part series detailing how NatWest Group, a major financial services institution, partnered with AWS to build a scalable, secure, and sustainable machine learning operations (MLOps) platform. This initial post provides an overview of the AWS and NatWest Group joint team implemented Amazon
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Shared by AWS Machine Learning April 26, 2022
Favorite This is the second post of a four-part series detailing how NatWest Group, a major financial services institution, partnered with AWS Professional Services to build a new machine learning operations (MLOps) platform. In this post, we share how the NatWest Group utilized AWS to enable the self-service deployment of
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Shared by AWS Machine Learning April 26, 2022
Favorite This is the third post of a four-part series detailing how NatWest Group, a major financial services institution, partnered with AWS Professional Services to build a new machine learning operations (MLOps) platform. This post is intended for data scientists, MLOps engineers, and data engineers who are interested in building
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Shared by AWS Machine Learning April 26, 2022
Favorite The adoption of AWS cloud technology at NatWest Group means moving our machine learning (ML) workloads to a more robust and scalable solution, while reducing our time-to-live to deliver the best products and services for our customers. In this cloud adoption journey, we selected the Customer Lifetime Value (CLV)
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Shared by AWS Machine Learning April 26, 2022
Favorite Culture is one of the major issues with KM implementation, as we have discussed regularly on this blog. A recent book, edited by Dana Tessier, throws new light on this topic, as discussed below. The book is entitled “Organizational Culture Strategies for Effective Knowledge Management and Performance” and can
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Shared by Nick Milton April 25, 2022
Favorite AWS CodeArtifact allows developers to connect internal code repositories to upstream code repositories like Pypi, Maven, or NPM. AWS CodeArtifact is a powerful addition to CI/CD workflows on AWS, but it is similarly effective for code-bases hosted on a Jupyter notebook. This is a common development paradigm for Machine
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Shared by AWS Machine Learning April 23, 2022
Favorite Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. Amazon Textract now offers the flexibility to specify the data you need to extract from documents using the new Queries feature within the Analyze Document API. You don’t need
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Shared by AWS Machine Learning April 22, 2022
Favorite Conversational interfaces (or chatbots) can provide an intuitive interface for processes such as creating and monitoring tickets. Let’s consider a situation in which a recent hire on your team is required to cut tickets for office equipment. To do so, they have to interact with a ticketing software that
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Shared by AWS Machine Learning April 20, 2022
Shared by AWS Machine Learning April 26, 2022
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