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We offer hackathons and data challenges, as well as collaborations for final theses. We also provide keynote speeches at our lectures.
Selected Data Challenges
Every semester, we offer the advanced seminar “Data Analytics in Applications”. In this seminar, master students with excellent programming skills and expertise in AI work in groups on a real-world use case provided by the KI-Lab partners, resulting in ready-to-use applications.
Location recommendation and demand prediction for charging stations
Objective: Identification of locations for ultra-fast chargers based on usage forecasts.
Prediction of the power consumption of a plant
Objective: Improving the prediction of a facility’s power consumption.
Predicting leads based on cookie data
Objective: Predict whether a website visitor will become a potential customner(lead) and thus reduce the cost of customer retention and marketing expenditure.
Product demand forecasting to optimize S&OP planning
Objective: Predict future market demand for >900 products for the next 18 months.
Location recommendation and demand prediction for charging stations
Objective: Identification of locations for ultra-fast chargers based on usage forecasts.
Prediction of the power consumption of a plant
Objective: Improving the prediction of a facility’s power consumption.
Predicting leads based on cookie data
Objective: Predict whether a website visitor will become a potential customner(lead) and thus reduce the cost of customer retention and marketing expenditure.
Product demand forecasting to optimize sales & operations planning
Objective: Predict future market demand for >900 products for the next 18 months.
Best practice sharing –
Continous learning &
collaboration opportunities
Our partners benefit from best-practice transfer across industries and academia through workshops, webinars and startup matchmaking.
AI use cases in production
Smart products for end-customers
AI enabled digital services
Data & AI platforms for efficiency and sustainability
AI Innovation ecosystem
Data as an enabler for AI and analytics
AI in Production
Smart products for end-customers
AI enabled digital services
Data & AI platforms for efficiency and sustainability
Data as an enabler for AI and analytics
AI Innovation ecosystem
Sprint projects –
Customized guidance & expert support
We provide individual expert support and tailored sprint projects for our partners based on their current Data, Analytics & AI maturity.
From vision to implementation: Development of a group-wide Gen.AI roadmap
From ideas to value: Advancing Data, Analytics & AI use case management
Creating the initial spark for Data, Analytics & AI by implementing Copilot use cases
Leveraging Gen.AI potentials in software engineering
Development of a group-wide Gen.AI roadmap
Advancements of DAta, Anaytics & AI use case management
Leveraging Gen.AI potentials in software engineering
Customer Live Score
Building a process satisfaction prediction model for claims management using process mining and machine learning
Product mining for product-portfolio leanification
Framework development
Evaluating Post-hoc Explainable
AI Methods for validation in Automated Noise Detection
Research for practice -
Engage & benefit from the latest research on AI
Our partners benefit from a knowledge platform and use case library and can actively participate in research projects.
