Field Notes: Deploying Autonomous Driving and ADAS Workloads at Scale with Amazon Managed Workflows for Apache Airflow

By Dustin Ward

AWS FeedField Notes: Deploying Autonomous Driving and ADAS Workloads at Scale with Amazon Managed Workflows for Apache Airflow Cloud Architects developing autonomous driving and ADAS workflows are challenged by loosely distributed process steps along the tool chain in hybrid environments. This is accelerated by the need to create a holistic view of all running pipelines…

Reimagine knowledge discovery using Amazon Kendra’s Web Crawler

By Dustin Ward

AWS FeedReimagine knowledge discovery using Amazon Kendra’s Web Crawler When you deploy intelligent search in your organization, two important factors to consider are access to the latest and most comprehensive information, and a contextual discovery mechanism. Many companies are still struggling to make their internal documents searchable in a way that allows employees to get…

Amazon GameLift announces General Availability of Game Server Hosting and Multiplayer Services in AWS China (Ningxia) Region, operated by NWCD

By Dustin Ward

AWS FeedAmazon GameLift announces General Availability of Game Server Hosting and Multiplayer Services in AWS China (Ningxia) Region, operated by NWCD Today, we are excited to announce the general availability (GA) of Amazon GameLift, now available in AWS China (Ningxia) Region, operated by NWCD. Trusted by some of the most successful game companies in the…

Extract Insights From Customer Conversations with Amazon Transcribe Call Analytics

By Dustin Ward

AWS FeedExtract Insights From Customer Conversations with Amazon Transcribe Call Analytics In 2017, we launched Amazon Transcribe, an automatic speech recognition (ASR) service that makes it easy to add speech-to-text capabilities to any application. Today, I’m very happy to announce the availability of Amazon Transcribe Call Analytics, a new feature that lets you easily extract…

Use ML predictions over Amazon DynamoDB data with Amazon Athena ML

By Dustin Ward

AWS FeedUse ML predictions over Amazon DynamoDB data with Amazon Athena ML Today’s modern applications use multiple purpose-built database engines, including relational, key-value, document, and in-memory databases. This purpose-built approach improves the way applications use data by providing better performance and reducing cost. However, the approach raises some challenges for data teams that need to…