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PREPARE YOUR ORGANISATION FOR AI

Artificial Intelligence (AI) has enormous disruptive potential, but making the most of this potential requires you to change your mindset and business priorities.

This course aims to provide you with an overview of AI, including a discussion of what the technology is (and is not), the current state of AI research, and how to make best use of the business opportunities presented by AI. The course focuses on issues and applications from a business leadership perspective, highlighting the most important shifts required in a true leader’s mindset. You will gain an understanding of the various business applications of AI and digitalisation, as well as the principles and skills you need to build a data-driven organisation. You will also be empowered to evaluate levels of digitalisation in your own area of business so you can better assess the growth potential of your department or business unit.

The course is conducted by two trainers who are also available as points of contact throughout the on-campus study period, ensuring that you receive the highest possible standard of mentoring and guidance. Please note that the two trainers are specialists in different areas of expertise, meaning that each will contribute his or her own perspective to the learning process.

Degree

Certified Expert in Artificial Intelligence for Business (Frankfurt School)

Target Group

Senior managers, strategists, decision-makers, change/innovation managers, CIOs and CDOs, computer scientists, developers interested in business, Talent programme participants aspiring to C-suite positions.

Requirements

  • No IT background required
  • Experience in leading and managing teams
  • All participants should bring laptops with them to work on practical exercises during the course.

Duration

3 months

Programme Structure

The programme consists of two 5-day weeks. It starts with the first 5-day course covering the AI fundamentals and the ecosystem of AI providers. In the 2nd week you will follow the specialisation of adapting AI solutions to specific business problems. It is also possible not to take part in the certification course, but to participate only at the first week. If doing so, the participants are not required to attend the exam. They receive a certificate of attendance.

Exam:
The exam takes place in the 2nd week of the course. The written examination takes place at the beginning of the second week. At the end of the second week, all participants complete a group project which will be graded.

Price

By a complete booking (the first week can also be booked individually), total fee: 6,490 Euro. This includes the registration (100 Euro), and exam (450 Euro).
The participation fee for the first week is 3,250 Euro.
All these amounts are exempt from VAT.

Product Information & Registration

Programme

Week 1: AI FUNDAMENTALS AND ECOSYSTEM OF PROVIDERS

How does AI help and how does it work?
  • 10 use-cases with specific business impacts
  • What is AI? - Hype versus reality
  • Trends in AI - Investments, development areas, the overview of the AI development market
  • How does AI work? - Understanding the conceptual layers of different AI applications
  • How does it learn? - Data and procedural requirements for AI systems to learn, understood through personal experiences

Applications in
  • Sales and Marketing
  • Manufacturing and Supply Chain Management
  • Customer service HR
  • Legal, Finance and Back office

Week 2: ADAPTING AI SOLUTIONS TO BUSINESS PROBLEMS

Building a data driven organisation
  • Data is the source of insight not control
  • Maturity model of a digital company
  • AI on the digitalisation scale

Identifying a first AI project
  • The Data - Technology - Business KPI triangle
  • The make or buy dilemma: providers, start-ups, platforms, developers

Managing the data capital
  • Understanding the “SISO” problem
  • New roles in an organisation: data manager, data engineer, data scientist

Building the learning cycle
  • How does an AI learn - teaching data and feedback loop
  • Assisted intelligence - helping people not replacing them

Presenting and winning an AI project

Start of programme

Lecturers

Prof. Dr. Florian Ellsaesser

Florian is Assistant Professor for International Entrepreneurship at the Frankfurt School of Finance & Management.

He completed his undergraduate degree in Economics and Philosophy in the UK. His PhD at Cambridge University was a comparison of three approaches to explanation in management research, focusing on causal inference and the construction of explanatory frameworks. He particularly looked at situations in which the data is limited, such as when an entirely new product, service or distribution channel is launched.

For one of his research papers Florian received the Oxford, Cambridge, Warwick best PhD paper award. During his PhD he also began to study Mathematics and has continued ever since.

After his PhD, Florian first worked as a strategy consultant and then as a project manager at McKinsey & Company. He then moved into the entrepreneurial world and was involved in founding a number of technology start-ups. He also published on causal inference and machine learning in the Academy of Management Review and the Strategic Management Journal.

Florian’s main research interest lies in decision making under uncertainty and the application of machine learning to managerial and organizational problems.

Levente Szabados

Levente has a background in cognitive sciences and considerable experience in leading research and development teams as well as transforming research results into software applications. He has filled various roles at two startups including co-founder, lead of research, and chief technology officer. Levente’s work has covered topics including web ontologies, evolutionary computation, neural networks, and diverse natural language processing approaches. He currently has over 10 years of experience in applied AI and is working as a Senior Consultant. 

Gergely Szertics

Gergely earned a Master’s degree from Corvinus University in Organization and Management. He then began working as a change management consultant and guest lecturer in Organization Theory. In 2011, Gergely co-founded Analogy Co., a startup developing AI supported knowledge management systems. He continued at the company through 2017, acting as CEO, participating in multiple startup competitions, and implementing several AI driven projects. Currently, Gergely is a business partner at AI Partners.

Technical Questions

Organisational Questions