A selection of topics covered

Artificial Intelligence (AI)

How to classify AI and put it to practice:

  • Which concrete topics are hidden behind the generic term AI?
  • Specific application areas, tools, use cases, practical examples and success factors
  • How to develop a master plan for implementation of AI in your company
  • AI and deep learning at leading digital companies
  • Two consecutive courses
    • AI Basics
    • Advanced AI

Robotics Process Automation (RPA)

The next generation of intelligent enterprise automation:

  • Automation of office and computer work through software robots
  • Linking RPA applications with intelligent AI solutions
  • Specific application areas, tools, use cases, practical examples and success factors
  • How to increase efficiency potentials by 30 – 40%
  • How to make it happen – Successful development, implementation, roll-out and scaling of RPA and AI in the company
  • Develop and train your own software robot

Speech Recognition and Generation with Chat Bots

Effectively automate customer interaction:

  • How chat bots work
  • Correlation of other topics relating to speech recognition and generation
  • Specific application areas, tools, use cases, practical examples and success factors
  • Develop your own chat bot
  • The next major advancement in communication between human and machine
  • How machines have learned to understand people
  • Which types of chat bots exist, and which are useful to use
  • Strategic approach to successful use of chat bots

Machine Learning

How to teach machines to learn:

  • How and where machine learning can be applied in your own company
  • What deep learning, analytics and other relevant trends are about
  • Concrete application areas, tools, use cases, practical examples and success factors
  • Program your own machine learning algorithm

Physical Robots

Impact of next-gen physical robots:

  • Industrial robots have revolutionized the business world once. The next-gen of robots will do so again
  • How next-gen robots will enable new business models
  • How robots now adapt to less structured and more complex, ever-changing environments
  • New robots are going beyond the factory floor into our everyday lives (our homes, offices, point of sales)
  • Benefits of humans and robots working alongside each other, both within the company and towards the customer
  • Different types of next-gen robots such as those working with humans (co-bots), interacting with humans (e.g. educational robots), assisting humans (surgical robots, exoskeletons), or adapting and integrating into human-made environments

AI Ethics

Ethical implications of artificial intelligence:

  • How to close the gap between accountability and ethics in major technological advancement
  • Should there be a legal framework for ensuring that AI technologies are researched and developed with the goal of helping humanity?
  • Which sectors are appropriate and inappropriate for AI automation?
  • Outlook into a world of artificial, human-level intelligence

Social Impact of AI

Societal and political implications of artificial intelligence:

  • The future of work in the age of artificial intelligence
  • How much of daily life can be shaped by algorithms and who is in control of monitoring it?
  • Human vs. machine – what does our future look like?
  • «Superintelligence»: If and when AI becomes more intelligent than humans

AI Cyber Security

Towards more security in a digitally connected world:

  • What to do when cyber risks change from an IT risk to a tangible business risk
  • How to define the essential elements and levels of a cyber security strategy (e.g. risk-based cyber security approach incl. clear strategy and roadmap)
  • How to best position yourself using a cyber security framework in a very dynamic and rapidly changing business environment
  • Specific application areas, tools, use cases, practical examples and success factors

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