AI for Manager

Artificial intelligence is a very common term today, often used in both everyday and professional life. But what exactly is behind AI?

Do you know the difference between artificial intelligence (AI), machine learning or deep learning? What are the potentials for your company? What possibilities does Data Science offer to prepare information quickly and agilely in order to be able to make decisions immediately? Can AI be simply bought off the shelf from the cloud?

Most people associate the term intelligence with mind - with thinking, feeling and making decisions. The image of artificial intelligence, on the other hand, is dominated by the idea of robots and science fiction movies. The fact that precisely this technical side or the field of digitalization can be used in many ways in everyday life and especially in companies is often misunderstood.

KÖNIGSWEG provides its clients with a comprehensive insight into how artificial intelligence works. Our consultants offer an overview of the definitions of the terms and separate the benefits from the hype. We show you which technologies are behind AI and which factors drive AI.

Together with you we identify possible AI applications and focus in a workshop on the topics of finance, supply chain, language, text, maintenance or risk management.

In addition, we not only show you how to automate your operative processes. We also help you to use AI to achieve your growth targets and to use it as a driver of your strategic goals and, if necessary, to react quickly even in crises.

The following modules are available - depending on the required depth, each unit takes between two and four hours:
  • DATA COMPETENCE FOR MANAGERS

    Data competence or data literacy describes the ability to handle data competently - in this module you will learn what added value data analyses offer and which aspects are relevant for you.

  • AI FOR EVERYONE

    Everyone is talking about artificial intelligence - unfortunately too often with a negative connotation. This module brings AI closer to your employees and thus opens up new perspectives.

  • AI FOR MANAGER

    What added value does analytics offer and why is it relevant? This module gives you an overview of AI concepts and differentiates them from other technologies.

  • ARTIFICIAL INTELLIGENCE

    History, classification and requirements - this module shows you that AI is not a new phenomenon and gives you the opportunity to evaluate the use of AI in your company.

  • DATA SCIENCE & AI: FROM DEVELOPMENT TO PRODUCTION

    The decision for AI has been made: How will Data Science and AI be used in production? In this module you will learn which technical requirements must be met for the use of AI and how AI projects are successfully implemented.

  • DATA, BIAS AND ETHIC

    Data is not neutral, but always distorted - this module looks at AI systems from an ethical point of view and shows how an ethically correct handling of data is possible.

  • AI AND CYBER SECURITY

    AI systems are very easy to deceive - that's why we teach you how artificial intelligence learns and how to protect against deception to keep trade secrets safe.

  • HYPE, BUZZWORDS AND PROMISES

    Big Data - the new oil? An old hat! Everyone senses the big new business with data and AI. The newspapers are full of unicorns, dystopias and utopias. We give you a realistic overview to evaluate the purchase of AI techniques.

  • HOW TO BUY AI IN 2020

    Is it possible to buy artificial intelligence? Do you have to go to a tailor or can you choose all this by yourself? For navigation we give you an overview of AI technologies up to the development of own products.

  • OPEN SOURCE VS. CLOUD VS. PROPRIETARY SOFTWARE

    The market as well as access to and handling of software have changed considerably in recent years. Where are the new opportunities? We will show you the advantages and disadvantages of the respective systems in order to facilitate your decision making.

Your Contact Person

Alexander Hendorf
Managing Partner
Information Technology & Data Science

Get in touch