KICKSTART YOUR AI INITIATIVE
Use Case Identification
Identify the most valuable areas of application for data-based business models and processes
Data Management
Put together the right team and follow best practices to ensure successful results
Data Science
Master the core skills to extract the most value from your data
One-day training sessions in three key areas:
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Proven methods to identify use cases and define corresponding requirements
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Guiding principles on strategic data management and data governance
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Hands-on introduction into the fundamental skills of data science
DATA COMPETENCE
WORKSHOPS
A combination of training and coaching:
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Collaborative approach to empower and support your team
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The first AI project: Build a prototype with us and learn the skills on the fly
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Onboarding: We bring your new hires up to speed on the tools of the trade
GUIDED
APPRENTICESHIP
COACHES
Dr. Andrés Cardona
Data Science Expert
Founder Internodes Consulting
Andrés is a data scientist with a decade-long experience in scientific research and consulting. He is an economist with a Ph.D. in social sciences and a GCP certified professional data engineer. His main focus is people analytics, network analysis and cloud-based solutions for advanced analytics and machine learning.
Mirko Schedlbauer
Business Intelligence Expert
Co-Founder Appanion Labs
Mirko has more than 10 years of experience in business intelligence and data management consulting. Increasing accessibility and quality of data as well as getting legacy infrastructure to the point of machine learning readiness belong to his core competencies. Besides his role as a consultant, Mirko works for the Swiss Institute for Entrepreneurship and is a guest lecturer at the Nordakademie.
Tobias Bohnhoff
Data Strategy Expert
Co-Founder Appanion Labs
Tobias has over 8 years of practical experience in data exploration, forecasting, innovation research and strategic business development in the digital space. As Head of Market Analytics for the data company Statista and strategy consultant, he developed lots of practical tactics on how to set up and successfully implement data-driven innovation projects.
GET IN TOUCH
No special previous knowledge is required unless otherwise described. Individual workshop modules can be taught stand-alone as a one-day seminar or in sequences that build on each other. The workshops are offered upon request in major German cities or in-house. The minimum number of participants is 6 persons per date. Guided apprenticeship for onboarding or initial AI projects is depending on the goal and scope of the projects and requires an individual agreement.