Tag: Artificial Intelligence
Learn how to seamlessly integrate Amazon Rekognition with the Cloudinary platform, and build an application that automatically tags people in images with names. This solution learns people’s faces from photos uploaded to a “training” folder in Cloudinary. In many cases, a single photo of someone is enough for Amazon Rekognition to learn and then, later on, identify and tag that person. This works in most photograph scenes and even pictures with many other people in them.
How to Use Amazon Rekognition and Amazon Comprehend Medical to Get the Most Out of Medical Imaging Data in Research
Medical imaging is a key part of patient health records and clinical trial workflows. Many facilities still burn medical imaging on CDs, a time-consuming and error-prone process. Ambra Health’s automatic pixel de-identification feature uses Amazon Rekognition and Amazon Comprehend Medical APIs to allow customers to de-identify images and reduce error. Now, it’s easier than ever to deploy an integrated application fabric that elevates healthcare efficiency and care.
We are excited to highlight 73 APN Partners that received new designations in August for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.
Time series forecasting is a common customer need. Amazon Forecast accelerates this and is based on the same technology used at Amazon.com. This new service massively reduces the effort required to automate data updating and model retraining, and it manages this while retaining the granularity of control that data scientists will appreciate and utilize. This post explores the use of this new service for energy consumption forecasting.
Many organizations are looking to migrate existing, on-premises enterprise data warehouse systems to cloud-based data warehouse systems such as Amazon Redshift. Here, we discuss how Cognizant’s Intelligent Migration Workbench (IMW) can be used to accelerate the data warehouse migrations while converting Oracle PL/SQL and Tetradata BTEQ scripts. IMW makes it easy to move mission critical proprietary code to AWS, giving customers competitive edge through faster time to market.
Amazon Rekognition makes it easy to add highly accurate image and video analysis to your applications. The service’s core functionality allowed Slalom, an APN Premier Consulting Partner, to create three personalized, interactive experiences for attendees at REALIZE, the company’s inaugural, one-day client summit in Chicago. Dive deep into how Slalom did it, and follow along with a how-to so you can learn to do it yourself.
We are excited to highlight 34 APN Partners that received new designations in April for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.
Oil and gas companies are looking beyond “easy oil” to unlock resources from more complex reservoirs. To solve this growing challenge, organizations are turning to AWS to maximize computational capacities. Computer Modelling Group Ltd. (CMG) is an APN Technology Partner whose revolutionary cloud solution provides engineers with faster simulation runs, giving them time to focus on reservoir and project analysis.
For AWS Marketplace and our customers, 2018 was a big year. We had some exciting announcements at AWS re:Invent 2018, where we launched new categories for container products and machine learning. With 30+ new features launched in 2018 for AWS Marketplace, we wanted to highlight the top ones for you, including AWS Marketplace for Machine Learning and Containers, Consulting Partner Private Offers, Enterprise Contract for AWS Marketplace, Flexible Payment Scheduler, and more.
Learn how to create a sample custom Box Skill by using Amazon Rekognition Image and AWS Lambda to apply computer vision to image files in Box. This new metadata allows you to quickly find images based on keyword searches, or find images that may be inappropriate and should be moderated. With services like Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Rekognition Video, and Amazon SageMaker, there’s no limit to the ways you can apply AI/ML to your media files.