AI in Controlling: Live Demo with Three Real-World Examples
Webinar on demand
CFO Services
Reaching Reliable Decisions Faster with AI
In the past, there was a lack of information; today, there is often a lack of time to draw the right conclusions from it. In this context, AI agents help controllers analyze key metrics more quickly, identify correlations, and prepare well-informed decisions.
In diesem Webinar on demand zeigen wir gemeinsam mit Prof. Dr. Andreas Seufert anhand von drei konkreten Praxisbeispielen, wie moderne KI-Lösungen Finanzprozesse beschleunigen, langjährige Expertise gezielt ergänzen und so eine schnellere Entscheidungsfindung ermöglichen.
Here's what you can expect in the live demo:
- Dynamic Labor Cost Simulations: Evaluate the Impact of Decisions in Seconds Instead of Days.
- Automated real-time analyses: Independent interpretation of current key metrics to identify anomalies.
- Forecasting with AI and ML: Use advanced machine learning techniques and external market data to improve planning accuracy and forecast quality.
- Practical Exchange: Interactive discussions with opportunities to ask questions and gain concrete insights for your own finance department.
Take this opportunity to learn how AI agents can also support your analysis, planning, and forecasting processes, enabling you to reach well-informed decisions more quickly.
Klingt interessant? Dann schauen Sie jetzt rein:
Webinar contributors
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 AG, specializing in text generation using large language models. His work focuses on simplifying complex and cumbersome processes through machine learning approaches, as well as using data science methods to extract new insights from the data.
Prof. Dr. Andreas Seufert teaches at the Ludwigshafen University of Applied Sciences and is Director of the Business Innovation Lab there. He is also Director of the Institute for Business Intelligence at Steinbeis University Berlin. He is head of the BI/ Big Data and Controlling expert group of the International Controller Association (ICV) as well as XING | Ambassador Controlling.
