Connecting Business and Data Science
I focus on building bridges between the world
of business and the world of data science
I have hands-on data science experience. I navigated my way through business as a management consultant. I’ve built an analytics team from scratch. I know what it takes to generate business value with AI. My background gives me the unique position of understanding both sides of the river, and knowing how to build an AI Bridge.
Education | Consulting | Online Courses | Thought Leadership
At the HWZ University of Applied Sciences in Zurich I am the head of program for the certificate of advance studies in AI Management. For everyone who wants to understand what AI is, what applications exist, how to build an organization, and how to run projects.
The AI for leaders online course has been designed to help management understand what AI actually is and how to define an AI path for their team/organization, with a special focus on what can make or break your AI initiative.
Use Case Prioritization
Do you want to get started with AI? Do you have too many options and are you not sure whether they are well defined? In my guided program I help you through the steps from generating different possible use cases to a handful of well defined AI use cases you can start working on.
Find your way into AI
Do you want to break into the field of AI? Are you a project or product manager and are you overwhelmed with the options out there? I can guide you through finding the first topics in AI that are relevant for you based on your situation and current know-how, and coach you along the way.
I teach and give (key)notes about AI to audiences that are new to the topic. I demystify the impression of AI being "magic" by explaining how machines learn, what applications exist, and what it takes to generate business value with AI.
Co-creation and partnerships
It doesn't end here, I build partnerships with outstanding individuals and companies. I am interested in building new products and offerings in topics such as embedding ethics into the data science process, model documentation and review, and research in AI management.
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