Amazon Web Services FeedRemote visualization in HPC using NICE DCV with ParallelCluster NICE DCV is an AWS-owned high performance remote display protocol, which specializes in 2D/3D interactive streaming over the internet or a local network (e.g., WiFi). With the power of NICE DCV we can seamlessly connect to our remote session running either in the…
Amazon Web Services FeedSay Hello to 85 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in November The AWS Partner Network (APN) is the global partner program for Amazon Web Services (AWS). We enable AWS Partners to build, market, and sell their AWS offerings, and we help customers identify top AWS Partners…
Amazon Web Services FeedFocusing on disaster response with Amazon Augmented AI and Mechanical Turk It’s easy to distinguish a lake from a flood. But when you’re looking at an aerial photograph, factors like angle, altitude, cloud cover, and context can make the task more difficult. And when you need to identify 100,000 aerial images in…
Amazon Web Services FeedAmazon Connect supports Amazon Lex chatbots with Latin American Spanish and German You can now configure your Amazon Lex chatbot to improve engagement with customers who speak Latin American Spanish or German. Amazon Lex allows you to create intelligent conversational chatbots that can be used with Amazon Connect to automate high volume…
Amazon Web Services Feed2020 ISO certificates are here, with a new Region and increased in-scope services Amazon Web Services (AWS) successfully completed the surveillance audits with no findings for ISO 9001, 27001, 27017, or 27018. Ernst and Young Certify Point auditors reissued the certificates on November 6, 2020. The certificates validate ISO compliance of our…
Amazon Web Services FeedAccelerating Amazon Redshift federated query to Amazon Aurora MySQL with AWS CloudFormation Amazon Redshift federated query allows you to combine data from one or more Amazon Relational Database Service (Amazon RDS) for MySQL and Amazon Aurora MySQL databases with data already in Amazon Redshift. You can also combine such data with data…