Favorite For many enterprises, critical business information is often stored as unstructured data scattered across multiple content repositories. Not only is it challenging for organizations to make this information available to employees when they need it, but it’s also difficult to do so securely so relevant information is available to
Read More
Shared by AWS Machine Learning January 5, 2021
Favorite Amazon SageMaker Ground Truth is a fully managed data labeling service that makes it easy to build highly accurate training datasets for machine learning. It offers easy access to Amazon Mechanical Turk and private human labelers, and provides them with built-in workflows and interfaces for common labeling tasks. A
Read More
Shared by AWS Machine Learning January 5, 2021
Favorite This is a guest post by the data science team at Bayer Crop Science. Farmers have always collected and evaluated a large amount of data with each growing season: seeds planted, crop protection inputs applied, crops harvested, and much more. The rise of data science and digital technologies provides
Read More
Shared by AWS Machine Learning January 5, 2021
Favorite Sharing data and computing in the cloud allows data users to focus on data analysis rather than data access. Open Data on AWS helps you discover and share public open datasets in the cloud. The Registry of Open Data on AWS hosts a large amount of public open data. The datasets range
Read More
Shared by AWS Machine Learning December 31, 2020
Favorite Earlier in 2020, widely used browsers like Chrome and Firefox changed their default behavior for rotating images based on image metadata, referred to as EXIF data. Previously, images always displayed in browsers exactly how they’re stored on disk, which is typically unrotated. After the change, images now rotate according
Read More
Shared by AWS Machine Learning December 29, 2020
Favorite This is a guest post by Foxconn. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. In their own words, “Established in Taiwan in 1974, Hon Hai Technology Group (Foxconn) is the
Read More
Shared by AWS Machine Learning December 23, 2020
Favorite Highly-regulated industries, such as financial services, are often required to audit all access to their data. This includes auditing exploratory activities performed by data scientists, who usually query data from within machine learning (ML) notebooks. This post walks you through the steps to implement access control and auditing capabilities
Read More
Shared by AWS Machine Learning December 22, 2020
Favorite Healthcare has recently been transformed by two remarkable innovations: Medical Interoperability and machine learning (ML). Medical Interoperability refers to the ability to share healthcare information across multiple systems. To take advantage of these transformations, we launched a new HIPAA-eligible healthcare service, Amazon HealthLake, now in preview at re:Invent 2020.
Read More
Shared by AWS Machine Learning December 19, 2020
Favorite Computer vision (CV) is sought after technology among companies looking to take advantage of machine learning (ML) to improve their business processes. Enterprises have access to large amounts of video assets from their existing cameras, but the data remains largely untapped without the right tools to gain insights from
Read More
Shared by AWS Machine Learning December 19, 2020
Favorite Machine learning (ML) models are impacting business decisions of organizations around the globe, from retail and financial services to autonomous vehicles and space exploration. For these organizations, training and deploying ML models into production is only one step towards achieving business goals. Model performance may degrade over time for
Read More
Shared by AWS Machine Learning December 18, 2020
Shared by AWS Machine Learning January 5, 2021
