Too often, AI and BI are seen as rival teams within an organization - even though they share the same problem: trying to get business value from data. In this webinar, you'll learn how to combine the best of both worlds. Whether you are an (aspiring) Data Scientist / Analyst looking to increase your impact in Business Intelligence, or a BI professional trying to improve your reporting using Data Science techniques, join us for this practical, hands-on webinar. By the end of this session, you will:
- Learn how to use value mapping to find good AI use cases.
- Learn how to assess the feasibility of AI projects.
- Learn about the most common AI use cases in BI.
- Do a live use case: Turning PDF documents into structured data with computer vision.
Tobias Zwingmann is a data scientist with more than 15 years of experience in a corporate setting, where he has been responsible for building out data science use cases and creating a company-wide data strategy. He is a cofounder of RAPYD.AI and is on a mission to help companies accelerate the adoption of machine learning and AI solutions while delivering meaningful business impact and reducing the risk of project failure.