AWS FeedTrueBlue uses Amazon QuickSight to deliver more accurate pricing and grow business This is a guest post by TrueBlue. In their own words, “Founded in 1989, TrueBlue provides specialized workforce solutions, including staffing, talent management, and recruitment process outsourcing (RPO). In 2020, the company connected approximately 490,000 people with work.” At TrueBlue, we offer…
AWS FeedIntelligently split multi-form document packages with Amazon Textract and Amazon Comprehend Many organizations spanning different sizes and industry verticals still rely on large volumes of documents to run their day-to-day operations. To solve this business challenge, customers are using intelligent document processing services from AWS such as Amazon Textract and Amazon Comprehend to help…
AWS FeedAnnouncing Amazon Corretto 17 support roadmap In September, we announced the general availability of Amazon Corretto 17. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of the Open Java Development Kit (OpenJDK). The JDK community has declared that OpenJDK 17 will be a long-term supported (LTS) version, which means it will continue to be…
AWS FeedWhy Do Aftermarket Capabilities Often Sit in the Backseat of Digital Transformation Priorities? By Carolyn Rostetter, Sr. Director, Industry Principal – Pegasystems Inc.By Pugal Janakiraman, Principal PDS – AWS Pegasystems Internet of Things (IoT) technologies increasingly connect the automotive and industrial manufacturing world through advances in artificial intelligence (AI) and machine learning (ML). Manufacturers…
AWS FeedMigrating accounts between AWS Organizations with consolidated billing to all features Customers start their cloud journey with one AWS account, and over time they deploy many resources within it before utilizing more accounts. Prior to the launch of AWS Organizations in 2017, customers received a consolidated bill for all of these accounts. The launch…
AWS FeedChoosing between storage mechanisms for ML inferencing with AWS Lambda This post is written by Veda Raman, SA Serverless, Casey Gerena, Sr Lab Engineer, Dan Fox, Principal Serverless SA. For real-time machine learning inferencing, customers often have several machine learning models trained for specific use-cases. For each inference request, the model must be chosen dynamically based…