Live demo: System-supported planning with AI in controlling
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System-supported planning with an integrated approach and artificial intelligence (AI)
Valid planning values are one of the biggest challenges in controlling. Not only do they have to be precise, they also have to take dynamic changes into account quickly. This can no longer be achieved with manual and silo-like planning processes. Modern planning approaches, innovative software solutions and new possibilities with AI promise a remedy.
Our experts will show how system-supported planning with AI can be implemented efficiently in the ICV Live Webinar on April 3 at 10 am. Using specific examples in SAP Analytics Cloud and Board, they will highlight the possibilities for integrated planning and the useful integration of AI.
In the focus of the live demo:
- Planning challenges and why an integrated approach helps
- Support through driver-based vs. integrated system-supported planning
- Potential through the integration of AI (machine learning vs. GenAI) in planning - and where AI does not help
- Live Demo 1: How SAP Analytics Cloud and Board as integrated planning and analysis platforms support companies in implementing their xP&A strategy
- Live Demo 2: How AI helps controlling to shorten planning cycles and support decision-making processes
Exchange ideas live with experienced experts and gain valuable insights into the integration of xP&A and AI as support for modern controlling. Sounds exciting? Then register now for the free webinar:
Speaker
Dennis Stahl is responsible for the CFO Services business unit and has been helping clients to modernize FP&A processes with innovative planning and analysis solutions for more than 7 years. In his projects, he supports companies ranging from upper mid-sized companies to DAX-listed corporations from a wide range of industries. He has extensive international consulting experience in the management, design and implementation of advanced customer solutions.
Ian Shulman is a Data Scientist at celver with a particular focus on text generation using Large Language Models. He focuses on simplifying complex and cumbersome processes through machine learning approaches and using data science methods to extract new insights from the data.
