Tag: Donnie Prakoso

Last week, I had an amazing time attending AWS Community Day Thailand in Bangkok. This event came at an exciting time, following the recent launch of the AWS Asia Pacific (Bangkok) Region. We had over 300 attendees and featured 15 speakers from the community, including an AWS Hero and 4 AWS Community Builders who shared their technical expertise and experiences. The highlight was definitely Jeff Barr, AWS Vice President & Chief Evangelist, delivering an inspiring keynote titled “Next-Generation Software Development”, which set the perfect tone for the day. The day kicked off with welcoming remarks from Vatsun Thirapatarapong, AWS Country Manager for Thailand, and was made even more special thanks to the tremendous support from both the AWS User Group…

Today, we’re pleased to announce that the AWS Asia Pacific (Thailand) Region is now generally available with three Availability Zones and API name ap-southeast-7. The AWS Asia Pacific (Thailand) Region is the first infrastructure Region in Thailand and the fourteenth Region in Asia Pacific, joining existing Regions in Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, Mumbai, Osaka, Seoul, Singapore, Sydney, and Tokyo, as well as the Beijing and Ningxia China Regions. Lumphini Park, one of the largest green spaces in central Bangkok spanning 142 acres. The adoption of cloud computing has gained significant momentum in Thailand, driven by evolving business needs and government initiatives such as Thailand 4.0. These initiatives aim to transform Thailand into an innovation-driven economy by using emerging…

Amazon DynamoDB, a serverless NoSQL database, has been a go-to solution for over one million customers to build low-latency and high-scale applications. As data grows, organizations are constantly seeking ways to extract valuable insights from operational data, which is often stored in DynamoDB. However, to make the most of this data in Amazon DynamoDB for analytics and machine learning (ML) use cases, customers often build custom data pipelines—a time-consuming infrastructure task that adds little unique value to their core business. Starting today, you can use Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse to run analytics and ML workloads in just a few clicks without consuming your DynamoDB table capacity. Amazon SageMaker Lakehouse unifies all your data across Amazon S3…

Amazon Q Business, a generative AI–powered assistant designed to enhance productivity across various business applications, became generally available earlier this year. Since its launch, Amazon Q Business has been helping customers tackle the challenges of improving workforce productivity. In this post, we have two announcements for Amazon Q Business: AI-powered workflow automation in Amazon Q Business (coming soon) Supports for more than 50 action integrations (generally available) Let’s get started with these new announcements from Amazon Q Business: AI-powered workflow automation in Amazon Q Business (coming soon)Organizations handle hundreds, if not thousands, of complex workflows that demand precise, repeatable execution. Automating these workflows has been a time-consuming process, often taking months and requiring specialized expertise. As a result, many potentially valuable business…