Tag: The Next Smart

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.

To build even stronger relationships with their audience, the American Cancer Society sought a way to interact with users and drive increased app usage and donations. To get there, they teamed up with Braze, which has been providing brands with built-for-purpose customer engagement capabilities since 2011. The Braze platform makes messages feel more like conversations between you and your customers across channels such as push notifications, email, in-app messages, and more.

Managing open source vulnerabilities can be challenging, especially at scale in a fast-moving continuous integration pipeline. Developers and DevOps professionals depend on CI pipeline tools like AWS CodeBuild to help them develop and test software at a breakneck pace, pushing out new software with greater efficiency and flexibility. In this post, learn how to integrate WhiteSource into CodeBuild pipeline to fuse open source security into existing build processes without having to compromise on speed or agility.

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.

Being able to access files via standard file protocols from one or more locations is important to many organizations. With Nasuni, all data is stored on Amazon S3, enabling customers to have access to their data anywhere over standard file protocols using many of the NAS features they’re used to at local performance, without having to maintain full replicas of the data in each location. Nasuni also has a control plane running on AWS that enables functionality such as global file locking.

The term Industry 4.0 encompasses a promise of a new industrial revolution—for the industrial sector, one that marries advanced manufacturing techniques with the Internet of Things to create systems that are not only interconnected, but communicate, analyze, and use information to drive further intelligent action back in the physical world. Today is the internet moment for manufacturing, and with it comes the gold rush of providers ready to enable the industry’s digital transformation.

Building a true Customer 360 requires gaining a comprehensive view of customer behavior and preferences by aggregating data from all of these sources, and more. With a single source of truth, a true Customer 360 delivers complete a real-time customer view to all parts of the organization—sales, marketing, service, support, etc. This consistent and contextual insight can help enterprises delight customers with personalized experience and timely offers through each touch point in the customer journey.

Security isn’t always top of mind for developers because it can slow down software releases. HashiCorp Vault helps eliminate much of the security burden developers experience while trying to comply with security team requirements. Vault was built to address the difficult task of passing sensitive data to users and applications without it being compromised. Within Vault, all transactions are token-based, which limits potential malicious activity, and provides greater visibility into whom and what is accessing that information.

Are you thinking of deploying VMware Greenplum on the AWS Cloud? Many customers also want to shift the responsibility for infrastructure to AWS, considering the alternatives. With VMware Greenplum on AWS, deployments are completely automated and completes in less than an hour. VMware Greenplum is a commercial fully-featured MPP data warehouse platform powered by the open source VMware Greenplum Database. It provides powerful and rapid analytics on petabyte scale data volumes.

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.