Core Viewpoint - In the ongoing digital transformation, companies must either become self-disruptors or risk becoming mere spectators of the era. SAP's AI transformation has successfully aligned technology, ecosystem, and business model evolution, leading to robust growth through strategic investments and customer-centric product iterations [1][2][22]. Group 1: SAP's Transformations - SAP has undergone four significant transformations since its inception in 1972, each aligned with major technological waves: the internet, mobile computing, cloud technology, and currently, artificial intelligence [2][13]. - The first transformation (1999-2009) involved SAP's response to the internet, marked by the launch of mySAP.com, which integrated e-commerce and supply chain management [4][5][8]. - The second transformation (2010-2015) was characterized by the acquisition of Sybase for mobile capabilities and the integration of cloud solutions, including the purchase of SuccessFactors [11][12][14]. - The third transformation (2015-2020) focused on full cloud integration with the launch of S/4HANA and the SAP Cloud Platform, which significantly increased cloud subscription revenue [16][17]. - The ongoing fourth transformation (2020-present) emphasizes the integration of generative AI into SAP's offerings, including the GROW with SAP solution launched in partnership with Amazon Web Services [18][21]. Group 2: Financial Performance - SAP's cloud ERP suite revenue reached €14.166 billion in 2024, up from €10.626 billion in 2023, reflecting a strong growth trajectory [26]. - Total revenue for SAP in 2024 was €34.176 billion, compared to €31.207 billion in 2023, indicating a robust overall performance [26]. - The cloud business revenue growth rate was 25% year-over-year in Q2 2024, with a total order volume of €148 billion, showcasing the effectiveness of SAP's integration strategies [21][25]. Group 3: AI Strategy and Investments - SAP plans to invest nearly €1 billion over the next two years to develop AI use cases and enhance its business transformation toolkit through acquisitions [38]. - The company has made significant acquisitions to bolster its AI capabilities, including LeanIX and WalkMe, which support its "continuous business transformation" strategy [19][24]. - SAP's AI strategy includes the integration of AI into core business processes, with a focus on enhancing user efficiency and automating tasks across various business functions [35][37]. Group 4: Challenges and Solutions - Prior to its AI transformation, SAP faced challenges such as low adoption rates of early AI tools and difficulties in integrating AI with core business processes [27][30]. - The company has recognized the need for robust risk management frameworks to address potential issues related to algorithm biases and data quality [40][41]. - SAP's approach to AI has evolved from initial testing to full integration, emphasizing practical applications and compliance with ethical standards [31][34].