SAP, a leading enterprise application software maker, is strengthening its partnership with Amazon Web Services (AWS) by introducing new AI-focused integrations. One of the key integrations involves SAP’s AI Core platform, which now supports the Amazon Bedrock AI development service. This enhancement opens up opportunities for companies, particularly those operating in regulated industries, to delve into generative AI experimentation. Moreover, SAP is intensifying its reliance on AWS chips to bolster its infrastructure. The company plans to upgrade its Graviton chips and harness the power of AWS Trainium and Inferentia for its Business AI solutions.
AWS has been acknowledged as the first cloud provider certified to support the SAP portfolio. Thousands of enterprise entities currently leverage SAP solutions on AWS to maximize the potential of their mission-critical applications. Matt Garman, incoming CEO of AWS, highlighted the significance of the collaboration, stating that it enables companies to swiftly implement generative AI into their core business processes, enhancing efficiency, responsiveness, and sustainability.
An integral component of SAP’s Business Technology Platform, AI Core empowers customers to manage their AI resources in a standardized, scalable, and hyperscaler-agnostic manner. By integrating Amazon Bedrock, organizations can access a wide array of supported large language models, including Amazon Titan, Anthropic’s Claude 3 Opus, Cohere’s Command R models, Mistral 7B, Mixtral 8x7B, and Meta’s Llama, Stable Diffusion, and AI21 Labs. Dr. Philipp Herzig, SAP’s chief AI officer, highlighted the platform’s versatile and open architecture, emphasizing the importance of selecting the best technology for specific purposes.
Enterprise developers can leverage top-performing large language models to enhance critical business processes built on SAP. For instance, Amazon Bedrock could streamline the auditing process within SAP’s S/4HANA Central Finance by automating the matching of bank statements to accounts. The level of enthusiasm and adoption surrounding generative AI has been unprecedented, with customers across various industries embracing advanced prototypes and production use cases to optimize core business operations.
While AWS expands its reach in AI development, the collaboration with SAP is particularly noteworthy due to the involvement of companies utilizing SAP’s enterprise resource planning applications, especially those in regulated sectors. These organizations, including entities like the New York Stock Exchange, NASDAQ, Pfizer, Merck, and government agencies, have been at the forefront of leveraging generative AI to drive operational efficiencies and compliance. Regulated firms are well-positioned to leverage large text data and internal use cases where gen AI can deliver tangible benefits, enabling them to catch up with competitors in the digital transformation landscape.
SAP customers can seamlessly integrate Amazon Bedrock into the company’s Business Technology Platform or the managed cloud offering RISE with SAP. In tandem with the Bedrock integration, SAP is elevating its utilization of Amazon chips to enhance its AI infrastructure. The HANA Cloud, designed for intelligent data applications, will transition from Graviton3 to Graviton4 chips to boost performance and efficiency. Furthermore, SAP is set to leverage AWS Trainium and Inferentia chips for training and deploying future SAP Business AI solutions, enabling accelerated development and high accuracy levels.
SAP’s focus on leveraging dedicatedly designed chips like Graviton4 to drive energy efficiency, cost reduction, and performance improvement underscores the company’s commitment to innovation. The transition to Graviton4 chips is poised to revolutionize database and enterprise workloads, offering a leap forward in terms of price-performance ratio. By harnessing AWS’s specialized chip architecture, SAP aims to accelerate AI model training processes while maintaining exceptional levels of accuracy and reliability. The enhanced chip solutions will support SAP’s diverse range of offerings, including BTP, Datasphere, Analytics Cloud, and Cloud ALM solutions.
Leave a Reply