AWS and Slalom Expand Next-Generation Strategic Collaboration

LAS VEGAS–(BUSINESS WIRE)–At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ:AMZN), and Slalom, LLC (Slalom), a global business and technology consulting company, announced a multiyear extension to the companies’ global Strategic Collaboration Agreement (SCA). The two companies will work together to develop vertical solutions and accelerators on AWS for customers in the energy, financial services, healthcare, life sciences, public sector, and media and entertainment industries, delivering specialized end-to-end cloud migration and modernization services to help accelerate their cloud journeys. In addition to supporting accelerated growth in Slalom markets in the U.S., the United Kingdom, Canada, Australia, Germany, Japan, and New Zealand, AWS and Slalom in 2023 will jointly create go-to-market strategies and make co-investments in support of Slalom’s continued expansion into Ireland and the Netherlands, followed by additional countries in Latin America, Asia Pacific, and through Europe over the next three years.

As part of the agreement, AWS and Slalom are expanding upon their 2019 announced collaboration to deliver AWS | Slalom Launch Centers (Launch Centers) that help enterprises accelerate their business transformations and modernize information technology services. Launch Centers provide customers with access to the unique combination of AWS Professional Services—a global team of AWS experts who help customers reach their desired outcomes with the cloud—and Slalom’s expertise in business transformation, software engineering, and analytics capabilities. Over the last three years, more than 160 customers have migrated and modernized to AWS through their work with Launch Centers.

AWS is working with Slalom to develop solutions to help customers solve specific industry challenges. For example, Slalom offers the Slalom Meter Data Analytics solution on AWS, which uses Amazon SageMaker (AWS’s service for building, training, and deploying machine learning models in the cloud and at the edge) to help utility and renewable energy customers improve billing and energy efficiency, and forecast power outages. In addition, the…