Webinar: AI — State of Adoption 2024

⇨ As AI adoption continues to expand, its impact on business efficiency and competitiveness is expected to grow, marking a pivotal shift in the technological landscape.

⇨ With most AI innovation happening in the cloud, SAP is embedding AI across its solutions to encourage its existing customers to transition to the cloud, aiming to drive business growth and attract reluctant adopters.

⇨ To provide insights and understanding related to SAP customers’ AI adoption practices and identify the key factors driving their organization’s AI strategies, SAPinsider surveyed 164 members of its community between April and July 2024, on strategies, challenges and priorities around AI adoption.

From the initial hype surrounding AI to its emerging adoption by many organizations, AI has begun to drive significant value across various sectors. It is opening new avenues for innovation and growth, fundamentally transforming the way companies operate and compete. The technology is revolutionizing businesses by unlocking valuable insights, enhancing decision-making processes, and automating manual tasks. As AI adoption continues to expand, its impact on business efficiency and competitiveness is expected to grow, marking a pivotal shift in the technological landscape. 

With most AI innovation happening in the cloud, SAP is embedding AI across its solutions to encourage its existing customers to transition to the cloud, aiming to drive business growth and attract reluctant adopters. While the impact of this increased AI focus on customer interest remains uncertain, it is clear that AI will be a fundamental component of SAP solutions moving forward. By integrating Business AI into its enterprise cloud portfolio, SAP continues to redefine innovation in global businesses, enabling organizations to achieve tangible results and unlock the agility and innovation needed to thrive in a rapidly changing business environment. 

SAP anticipates that by the end of 2024, end users will be able to manage 80% of the most-used SAP business transactions through Joule, SAP’s AI copilot. Recently, SAP also announced 100 embedded Business AI use cases for 2024, with over 60 already released and more than 90 partner use cases currently in development for the GenAI Hub on SAP’s Business Technology Platform (BTP). Additionally, SAP’s strategic categorization of AI into Base AI and Premium AI underscores its commitment to delivering tailored AI capabilities to meet diverse business needs. The integration of Base AI capabilities into solutions like SAP S/4HANA provides significant value at no extra cost, enhancing the overall functionality for users. On the other hand, the option to activate Premium AI use cases across business solutions with an additional license demonstrates SAP’s flexible and scalable approach, allowing customers to invest in advanced AI functionalities as needed. 

To provide insights and understanding related to SAP customers’ AI adoption practices and identify the key factors driving their organization’s AI strategies, SAPinsider surveyed 164 members of its community between April and July 2024, on strategies, challenges and priorities around AI adoption.​ The primary objective of the survey was to gather insights from professionals who play a pivotal role in taking decisions pertaining to the adoption and use of AI in their organizations, including understanding the technology prerequisites for AI and exploring the decision-making process behind choosing whether to build, buy, or combine both approaches for AI solutions. The survey revealed varying degrees of AI integration into strategic plans. While AI strategies are still evolving, which could be driven by rapid advancements in AI technology, changing market dynamics, or the need to stay competitive, the survey data suggests a spectrum of maturity and readiness across organizations.

Register for this upcoming SAPinsider Webinar report to understand the full data analysis from 164 members of the SAPinsider community and receive recommendations for your own plans.

• Explore the factors behind the need for AI
• Learn whether AI objectives are part of long-term strategic and enterprise planning
• Understand the challenges that organizations face with deploying AI solutions
• Evaluate AI technologies, benefits, and challenges with implementing AI