AI for Managers (Guest Lecture at WHU - Otto Beisheim School of Management)
The development of artificial intelligence has been very successful in the last ten years. Nevertheless, reality often does not do justice to what is commonly imagined under artificial intelligence
Artificial intelligence has been around since the 1940s. Since 1964, computers have been able to recognize the gender of a person by analyzing an image. The technological possibilities of the 2010s, in particular access to large amounts of data, the globalisation of research and open source software, have catalysed the further development of the technology.
"Prediction machines" would be a perfectly appropriate term. Often the hype and exaggeration leads to a misunderstanding of the technology and to misjudgements - even ignorance - of the possibilities.
There is no question - AI plays a leading role in digitization and provides immense increases in productivity and quality. Now it is important that decision-makers are able to classify the potentials correctly and allocate budgets in an informed way.
In the guest lecture, Alexander Hendorf used the history of AI and demos to show how far apart expectations and results can be - better or worse.
He especially emphasized that AI projects are not IT projects at all, but R&D projects, which should be carried out in a goal-oriented but open and agile manner. The best AI solutions are often not exactly what was originally planned, but similar, modified - but highly value-added solutions. Experienced project management is important, as it detects early on when AI goals do not meet expectations and can lead the project in the right direction in a value-oriented manner.
Key Takeaways & Use Case Presented
Use Cases & Experiments
Generating new artwork with AI (real covers are greyed out here). This works unexpectely well.
Generating new German text with RNNs trained on the corpus of "Die drei Fragezeichen". Very funny but not productive.
Systhesing a human voice (e.g. to read text, text to speech). Surprisingly impresse outcome.
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Your Contact Person
Alexander Hendorf -
Alexander Hendorf is a renowned IT professional and expert in Big Data, Data Mining, Machine Learning and Artificial Intelligence. He is a frequent speaker at international conferences like PyData, PyCons or MongoDB World NYC.
After founding an independent label, Hendorf recognized the potential of digitalization for the music industry and began programming trading platforms and databases.
This combination of entrepreneurship and digitization is reflected in his consulting concepts. With a high level of expertise, he specializes in particular in process optimization through Agile Data Analytics and Data Value Assessments.
Hendorf is a Python Software Foundation Fellow, one of the chair persons of PyConDE and PyData Berlin, chair person of the German Python Softwareverband e.V and one of the 25 MongoDB Masters worldwide. Through his commitment to open source and his membership in corresponding global organizations, he also has an excellent international IT network.