基于体验的加速（EBA）博客

Seeq’s advanced analytics platform, built on AWS, helps manufacturing companies track and reduce their carbon emissions by providing real-time carbon intensity monitoring and streamlined life cycle assessment (LCA) reporting, as demonstrated through three customer use cases including a global chemical company that reduced LCA assessment time by 90%. The platform integrates with various data sources and AWS services like the Sustainability Insights Framework, enabling manufacturers to make data-driven decisions for sustainability improvements while meeting regulatory requirements and corporate environmental goals.

The solution presented in this post demonstrates a powerful pattern for accelerating video and audio review workflows while maintaining human oversight. By combining the power of AI models in Amazon Bedrock with human expertise, you can create tools that not only boost productivity but also maintain the critical element of human judgment in important decision-making processes.

In January 2025, we launched 17 new digital training products on AWS Skill Builder including two new AWS Jam Journeys, additional language availability for Exam Prep materials in support of AWS Certified AI Practitioner and AWS Certified Machine Learning Engineer certification exams, as well as a new AWS Builder Lab, Sustainability Strategies with AWS Compute Workload, designed to help identify sustainability strategies using AWS services and tools to optimize usage and costs in an AWS environment.

In this post, we follow Nielsen’s journey to build a robust and scalable architecture while enjoying linear scaling. We start by examining the initial challenges Nielsen faced and the root causes behind these issues. Then, we explore Nielsen’s solution: running Spark on Amazon Elastic Kubernetes Service (Amazon EKS) while adopting serverless concepts.

Today, we’re thrilled to celebrate the graduation of the inaugural cohort of AWS Cloud Institute learners, marking a significant milestone in their journey toward launching successful careers in cloud development. Throughout the program, this exceptional group of individuals not only honed their technical expertise but also became part of a dynamic and supportive learning community, fostering collaboration and growth along the way.

The journey from AWS Certified AI Practitioner to AWS Certified Machine Learning – Specialty offers a structured approach that helps you grow—from understanding fundamental AI concepts to handling complex ML projects in a cloud environment. By using resources like AWS Skill Builder, AWS Educate and the Udemy Business Leadership Academy cohort programs, you can accelerate your learning and stay ahead of the competition in the fast-moving AI/ML landscape.

AWS Solutions Architects are a free resource to customers and partners and wear three crucial hats: technical advisor, customer advocate, and educator. Learn how you can engage AWS Solutions Architects and benefit from their time-tested expertise and best practices across AWS services, industries, and company sizes.

In December 2024, we launched nine new digital training products on AWS Skill Builder including five new AWS Builder Labs, a new AWS Jam focused on troubleshooting AWS Web Development issues in a gamified learning environment, and one new AWS Digital Classroom course. We also launched AWS Learning Assistant for AWS Builder Labs, a new AI-powered, chat-based guide that enhances self-paced learning by providing real-time responses and insights to learners.

AWS collaborated with an industrial company to modernize a legacy .NET Framework application using an Experience-Based Acceleration (EBA) program. In this blog, we will explore the EBA process, and the related technical approach. This approach helped our customer modernize a legacy .NET Framework application that resulted in an improved performance by 16.5x while also reducing [...]

Introduction In the ever-evolving digital landscape, the increasing number of Internet of Things (IoT) devices opens up new opportunities while highlighting the critical need to address cybersecurity challenges to ensure reliable services, data protection, and sustained growth. In this blog we will dive into the background of the US Cyber Trust Mark—a new program designed [...]

Generative artificial intelligence (AI) has captured the imagination of organizations across industries, promising to revolutionize workflows and drive innovation. As public sector entities explore this transformative technology, a critical challenge emerges: identifying and prioritizing high-value use cases that align with specific business objectives and delivering measurable outcomes. In this post, we present an Amazon Web Services (AWS) framework to help public sector organizations navigate generative AI adoption and unlock its true potential.

Introduction In a world increasingly driven by Internet of Things (IoT) devices and real-time video streaming, privacy and security has become more critical than ever. Whether used in smart homes, industrial automation, or healthcare, Amazon Kinesis Video Streams offers a fully managed, scalable, and secure platform for streaming live video from devices to the AWS [...]

AWS is committed to supporting customers in their transition to the cloud by offering a comprehensive training and resources for migrating VMware workloads to the AWS Cloud. Our training portfolio covers every stage of the migration process – from initial planning/migration, to modernization, and finally managing VMware workloads on AWS.

This post is co-written with Dr. Jens Kohl, Dr. Sirko Molau and Sascha Kallin from BMW Group. In this blog, we describe BMW’s migration journey, and share the key lessons learned along the way. We also explain how BMW ensured the digital sovereignty of customer data, user interfaces, and customer-facing functions throughout the migration. We [...]

As organizations move from dabbling in generative artificial intelligence (AI) to building customer-facing applications, having a skilled team is crucial for project success. You can leverage AWS Training courses to upskill your team, ensuring they are prepared for your next generative AI project.