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Artificial Intelligence (AI)

Success Factor AI: Strategies for Digital Transformation

Artificial intelligence (AI) has taken on a central role in the current era that goes far beyond technological innovation. It influences the economy, society, the labour market and research. The opportunities and challenges associated with AI require a comprehensive examination and responsible design in order to maximise the benefits and minimise the risks. Find out more about our new programme on the current topic of AI.

Download the brochure with all information about the modules, the lecturers and all dates for the start of our programme.

Certificate

Certificate

Issued by University of Cologne Business School
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Programme Description

In today's modern business world, Artificial Intelligence (AI) plays an increasingly important role. AI is revolutionising the business world by optimising processes, driving innovation, and improving decision-making. Companies that successfully integrate AI strategies can gain significant competitive advantages and strengthen their market position. This certificate programme provides managers with the necessary knowledge and tools to successfully integrate AI into their companies.

Objectives

  • Learn the fundamental concepts and methods of AI.
  • Develop an AI strategy for your own company.
  • Utilise AI applications to improve business processes and foster innovation.
  • Ensure ethical and regulatory compliance in the implementation of AI.

Highlights

  • Practical examples and case studies from the industry.
  • Interactive workshops and discussion sessions.
  • Access to exclusive resources and networking opportunities.
  • Certificate upon completion of the programme.

Target Audience

The programme is designed for managers who wish to successfully integrate AI into their companies.

Format

3 modules

 

All modules at a glance

Module 1: AI Strategy

  • The Importance of AI for Businesses: Understand the reasons behind the rapid growth of AI, driven by technological trends such as Cloud Computing, IoT, and Social Media, as well as new analytical methods for large datasets.
  • AI in the Context of Strategy Development: Learn how strategic questions can be translated into concrete AI applications through practical case studies. We highlight the importance of "use-case roadmaps," which align strategic initiatives with their associated AI applications.
  • AI Transformations: Discover how companies can successfully implement corporate strategies using AI. You will learn about the core elements of transformative approaches, including the relevant IT stack, necessary in-house skills, comprehensive data availability and governance, and an adapted operating model.

Date: Wednesday, 27. November in Cologne, UCBS Campus

Lecturer: Dr Peter Breuer, University of Cologne

 

Module 2: AI Methods

  • Principles and Fundamentals of AI: Learn the basics of AI, including Machine Learning, as well as concepts like Supervised and Unsupervised Learning, and Deep Learning.
  • Application of AI Methods: Discover how simple regression and classification models work and how they can contribute to decision-making.
  • New AI Developments: Explore the latest tools and trends in AI, such as ChatGPT, and learn how to integrate them into your daily work.

Date: 28 November 2024 in Cologne, UCBS Campus

Lecturer: Prof. Dr Markus Weinmann, University of Cologne

Module 3: AI Implementation

  • Organisation and Structure: Learn how to build an AI function and integrate it into existing structures. Discuss the pros and cons of dedicated AI teams, AI hubs, and product teams.
  • Building AI Systems: Understand the importance of context in AI development, the characteristics and lifecycle of AI systems, and the benefits of agile development and DevOps.
  • Ethics, Bias, and Regulation: Recognise the challenges posed by data bias and the importance of regulatory requirements (GDPR, EU AI Act). Learn how to implement test-driven ethics in AI development.

Date: Friday, 29 November 2024 in Cologne, UCBS Campus

Lecturers: Prof. Dr Christoph Rosenkranz and Prof. Dr Detlef Schoder

Lecturers

Dr Peter Breuer (Programme Director)

Dr Peter Breuer began his career after studying and earning his doctorate in mathematics at the University of Cologne and the University of Duisburg. He then joined the strategic consulting firm McKinsey & Company. As a co-founder of McKinsey's global AI practice, he led McKinsey Analytics and parts of McKinsey's tech ecosystem in various roles both in Germany and internationally. During his approximately 30 years at McKinsey, he supported retail companies worldwide in their AI transformations. Today, he holds a lectureship in Business Analytics at the University of Cologne.

 

Prof. Dr Markus Weinmann (Programme Director)

Prof. Dr Markus Weinmann holds the Chair for Business Analytics at the University of Cologne. He teaches and conducts research on data-driven decision-making in a business context. His work has been published in renowned academic journals and is frequently adopted by practitioners.

 

Mei Wu-Gehbauer

Mei Wu-Gehbauer has over 15 years of industry experience in executive roles in digital innovation and digital transformation. She specializes in leading data expert and engineering teams and in large-scale AI-driven transformation in enterprise context. Currently, she is pursuing her doctoral studies at the University of Cologne, focusing on designing AI-based systems for effective human-AI collaboration. Her research is published at international conferences.

 

Prof. Dr Christoph Rosenkranz

Prof. Dr Christoph Rosenkranz heads the Chair for Information Systems and Integrated Information Systems at the University of Cologne. He teaches and conducts research on the development of information systems as well as data and process management. He regularly publishes his findings in international journals and presents at international conferences.

 

Prof. Dr Detlef Schoder

Prof. Dr Detlef Schoder is the Founding and Managing Director of the Institute for Information Systems (CIIS) at the University of Cologne. His focus areas in collaborative projects with industry encompass Generative AI, Business Analytics, Digital Transformation, and the use of AI methods for decision support in (print) media production, trading on financial and crypto markets, and logistics. According to the "Handelsblatt" ranking in Business Administration, he is one of the most research-intensive scholars in the field of Information Systems in the German-speaking world.