Student talents – Unique recruiting & employer branding opportunities

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.

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Location recommendation and demand prediction for charging stations

Objective: Identification of locations for ultra-fast chargers based on usage forecasts.

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Prediction of the power consumption of a plant


Objective: Improving the prediction of a facility’s power consumption.

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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.

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Product demand forecasting to optimize S&OP planning

Objective: Predict future market demand for >900 products for the next 18 months. 

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Location recommendation and demand prediction for charging stations

Objective: Identification of locations for ultra-fast chargers based on usage forecasts.

Image

Prediction of the power consumption of a plant

Objective: Improving the prediction of a facility’s power consumption.

Image

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.

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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.

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AI use cases in production

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Smart products for end-customers

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AI enabled digital services

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Data & AI platforms for efficiency and sustainability

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AI Innovation ecosystem

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Data as an enabler for AI and analytics

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AI in Production

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Smart products for end-customers

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AI enabled digital services

TÜV_Süd_logo_negativ
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Data & AI platforms for efficiency and sustainability

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Data as an enabler for AI and analytics

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AI Innovation ecosystem

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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.

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From vision to implementation:
Development of a group-wide Gen.AI roadmap

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From ideas to value: Advancing Data, Analytics & AI use case management

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Creating the initial spark for Data, Analytics & AI by implementing Copilot use cases

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Leveraging Gen.AI potentials in software engineering

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Development of a group-wide Gen.AI roadmap

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Advancements of DAta, Anaytics & AI use case management

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Leveraging Gen.AI potentials in software engineering

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Customer Live Score

Building a process satisfaction prediction model for claims management using process mining and machine learning

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Product mining for product-portfolio leanification

Framework development

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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.

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BA Value

Decision models for BA projects

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BA Success

BA implementation concept

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resProKI

Resilient Production System with AI

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AIMOB

AI in the Make or Buy Process

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FlyNet

Network structures for Industry 4.0

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Smart.Office

Intelligent Energy Management

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BigData

Analysis of Big Data-based business models

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GenAIsis

Generative AI implementation concept

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BA Value

Decision models for BA projects

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BA Success

BA implementation concept

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resProKI

Resilient Production System with AI

Image

AIMOB

AI in the Make or Buy Process

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FlyNet

Establishing network structures for Industry 4.0

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Smart.Office

Intelligent Energy Management

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BigData

Analysis of Big Data-based business models

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GenAIsis

Generative AI implementation concept