AWS Looks to Meld MLOps and DevOps

Source:-https://devops.com The rate at which machine learning operations (MLOps) and DevOps best practices are converging is poised for rapid acceleration in 2021. At the recent online AWS re:Invent conference, Amazon Web Services (AWS) announced it is adding a bevy of capabilities to Amazon SageMaker, a managed MLOps service, that includes a continuous integration/continuous delivery (CI/CD) service for MLOps it is calling Amazon SageMaker Pipelines. Amazon SageMaker Pipelines enables developers to define a machine learning workflow that encompasses everything from loading

Read more

Nationwide Selects AWS as Its Preferred Cloud Provider to Deliver Digital Experiences to Customers

Source:-https://www.businesswire.com SEATTLE–(BUSINESS WIRE)–Today, Amazon Web Services, Inc. (AWS), company (NASDAQ: AMZN), announced that Nationwide, a Fortune 100 insurance and financial services provider, is expanding its relationship with AWS and has selected AWS as its preferred cloud provider. As part of its company-wide digital transformation, Nationwide is moving key, business critical workloads to AWS, including more than 850 business and customer-facing applications, such as Claims, Personal and Commercial Insurance Policy Systems, and their flagship website Nationwide.com. Leveraging the breadth and depth

Read more

AWS SageMaker gets nine new capabilities

Source:-https://datacentrenews.eu Amazon Web Services (AWS) announced nine new capabilities for the Amazon SageMaker machine learning (ML) service during the ML keynote at the 2020 re:Invent conference, which was held virtually. “Today, we are announcing a set of tools for Amazon SageMaker that makes it much easier for developers to build end-to-end machine learning pipelines to prepare, build, train, explain, inspect, monitor, debug, and run custom machine learning models with greater visibility, explainability, and automation at scale,” says AWS Amazon machine

Read more

AWS becomes preferred cloud for e-commerce giants Mercado Libre and Zalando

Source:-https://siliconangle.com Amazon Web Services Inc. today divulged that Mercado Libre Inc. and Zalando SE, two major players in the global e-commerce market with millions of users each, have selected it as their preferred cloud provider. Mercado Libre is the largest online retail and payments provider in Latin America. It’s also the region’s overall largest company by market capitalization. Germany-based Zalando is the operator of Europe’s most popular fashion and lifestyle e-commerce marketplace. Mercado Libre is building a data lake on

Read more

Hopsworks Feature Store Now Available for Microsoft Azure

Source:-https://www.globenewswire.com Stockholm, Sweden, Nov. 17, 2020 (GLOBE NEWSWIRE) — Logical Clocks, the data company behind the world’s first Enterprise Feature Store for Machine Learning, today announced full support for Microsoft Azure on its cloud managed data platform, Hopsworks. The announcement complements the existing support for Amazon Web Service (AWS), thus enterprises can now manage features for training and serving models at scale on Hopsworks while maintaining control of their data inside their organisation’s accounts on the most popular cloud platforms.

Read more

AWS Provides Machine Learning Tech for Veteran Mental Health Research Effort

Source:-executivebiz Amazon Web Services partnered with social media platform developer RallyPoint, the Department of Veterans Affairs and Harvard University to develop a machine learning model that can detect mental health issues among veterans, Nextgov reported Friday. Under an agreement with VA, the Amazon Machine Learning Solutions Lab worked with RallyPoint and Harvard’s Nock Lab mental health professionals to utilize data science for identifying “high-value use cases” among users of the military-focused social network. AWS provided data-labeling services as well as

Read more

Run Amazon SageMaker Notebook locally with Docker container

Source: towardsdatascience.com Amazon SageMaker, the cloud machine learning platform by AWS, consists of 4 major offerings, supporting different processes along the data science workflow: Ground Truth: A managed service for large scale on-demand data labeling services.(Generate example data, for supervised algorithms) Training: A managed service to train and tune models at any scale.(Train a model) Inference: A managed service to host pre-built models and run inferences on new data.(Deploy the model) And to put it all together, Notebook: An AWS-hosted

Read more