AWS FeedRun image classification with Amazon SageMaker JumpStart Last year, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart hosts 196 computer vision models, 64 natural language processing (NLP) models, 18 pre-built end-to-end solutions, and 19 example…
AWS FeedCentrally track Microsoft SQL Server licenses in AWS Organizations using AWS License Manager and AWS Systems Manager Most enterprises find it hard to maintain control of the commercial licensing of Microsoft, SAP, Oracle, and IBM products due to limited visibility. They wind up over-provisioning licenses to avoid the headache with third-party license providers or…
AWS FeedManaging Security and Compliance for Your Journey to AWS with Wipro Cloud Application Risk Governance By Amit Verma, AWS Security Practice Head – Wipro By Bhavesh Kumar Bhatt, Cloud Security Practice Head – WiproBy Stephen Randolph, Sr. Partner Solutions Architect – AWSBy Tushar Agarwal, Sr. Partner Solutions Architect – AWS Most enterprises are at…
AWS FeedArchitecture Monthly Magazine: Genomics The field of genomics has made huge strides in the last 20 years. Genomics organizations and researchers are rising to the many challenges we face today, and seeking improved methods for future needs. Amazon Web Services (AWS) provides an array of services that can help the genomics industry with securely…
AWS FeedIncremental data matching using AWS Lake Formation and AWS Glue AWS Lake Formation provides a machine learning (ML) capability (FindMatches transform) to identify duplicate or matching records in your dataset, even when the records don’t have a common unique identifier and no fields match exactly. Customers across many industries have come to rely on…
AWS FeedAmazon SageMaker Pipeline introduces a automatic hyperparameter tuning step Amazon SageMaker Pipelines, the first purpose-built continuous integration and continuous delivery (CI/CD) service for machine learning (ML), is now integrated with SageMaker’s automatic model tuning capability. Customers can add a model tuning step (TuningStep) in their SageMaker Pipelines which will automatically invoke a hyperparameter tuning…