AI & ML News

AWS and SAP Unlock New Innovation with Generative AI

Christian Klein

Amazon Web Services (AWS) and SAP SE have expanded their strategic collaboration to transform modern cloud enterprise resource planning (ERP) experiences and help enterprises drive new capabilities and efficiencies with generative artificial intelligence (AI). Together, AWS and SAP are striving to make it easier for customers to adopt the RISE with SAP solution on AWS, to improve the performance and efficiency of SAP workloads running in the cloud and to embed generative AI into an enterprise’s entire portfolio of business-critical applications.

“Partnerships like this collaboration with AWS are critical as we embed generative AI solutions across our ERP applications so that customers can drive innovation at an accelerated pace.”

Christian Klein, Chief Executive Officer, SAP SE

“AWS was the first cloud provider certified to support the SAP portfolio and today, thousands of enterprise companies run SAP solutions on AWS to get the most out of their mission-critical applications. Now, AWS and SAP are making it faster and easier for companies to apply generative AI to their core business data to become more efficient, responsive and sustainable,” said Matt Garman, CEO, AWS.

“We are excited to support Amazon on their own transformation journey as they adopt RISE with SAP for pioneering areas such as Project Kuiper, Amazon’s satellite initiative intended to increase global broadband access,” said Christian Klein, Chief Executive Officer, SAP SE.

With the integration of generative AI models from Amazon Bedrock such as the Anthropic Claude 3 model family and Amazon Titan, SAP customers will be able to access high-performing LLMs and other foundation models (FMs) to build applications customized with their own data. Tens of thousands of customers use Amazon Bedrock to easily, quickly and securely build and scale generative AI applications using FMs from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI and Amazon.

Also, SAP customers may accelerate the adoption of generative AI and modernize key business processes built on SAP solutions. These innovations can be used in embedded use cases within RISE with SAP and the intelligent scenario lifecycle management functionality as an integration component or side-by-side directly on SAP Business Technology Platform (SAP BTP). SAP and AWS plan to expand the use of Bedrock capabilities in the generative AI hub to further enable embedded AI functionality within SAP’s portfolio of cloud solutions and applications. This includes additional use cases across finance and product lifecycle management.

SAP plans to use AWS Trainium and AWS Inferentia chips, purpose built for AI and machine learning (ML) workloads, for training and deploying future SAP Business AI offerings. Using Trainium and Inferentia2-based instances in a proof of concept, SAP engineers trained and fine-tuned generative AI LLMs in two days versus 23 days with comparable Amazon EC2 instances. By leveraging Trainium’s specialized architecture designed for efficient ML model training, SAP can accelerate the development process while maintaining high levels of accuracy and reliability.

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