Live Demo: How Generative AI Supports Financial Controlling

On-Demand Webinar

On-Demand Webinar

CFO Services

Dennis Stahl
Ian Shulman
40
minutes

Live Demo

Artificial intelligence (AI) is the hot topic for businesses in 2024. Generative AI (GenAI) , in particular, is being touted as the ultimate solution to a wide variety of problems. To remain competitive, many finance departments are therefore also exploring this topic. But is AI really the answer to everything?

Our experts will get to the bottom of this question in this webinar. Using a live demo, they will show current examples of the possibilities and limitations of AI from their projects.  

Highlights of the live demo: 

  • Why GenAI Is Exciting for the Finance Sector, Too.
  • What aspects to consider with regard to security and data protection.
  • Which AI platforms are currently the most popular solutions.  
  • How AI Is Already Being Used—and What Its Limitations and Risks Are.
  • How chatbots quickly find, analyze, and evaluate information within a company.

Exchange ideas live with experienced experts and gain valuable insights into the integration of AI as support for modern controlling. Sounds exciting? Then watch the free webinar here now.

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Webinar Participants

Dennis Stahl
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Dennis Stahl
Business Unit Lead, CFO
celver AG

Dennis Stahl heads the CFO Services business unit and has been helping clients modernize their FP&A processes with innovative planning and analytics solutions for more than 7 years. In his projects, he works with companies ranging from upper-mid-market firms to DAX-listed corporations across a wide variety of industries. He has extensive international consulting experience in leading, designing, and implementing advanced client solutions.

Ian Shulman
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Ian Shulman
Senior Data Scientist
celver AG

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.

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