Artificial intelligence promises great value. The technology is mostly understood only by few, yet still unexplainable even for experts. In this talk I'll present how to narrow the hype down to real value explainable to everyone in your organisation - without the math.
Computer scientists often feel not understood by management. Management is overwhelmed by the hype. Progress drowns in daily business and updates of legacy systems. Even if the potential of the new technology is seen, realizing is on another page.
This talk will give guidance how to make new technology, resp. Artificial intelligence, Machine Learning, … happen for the better.
In this talk I'll present:
- show to make Data Literacy (Ridsdale et al. 2015) happen in your organisation
- differences between Information Literacy and Data Literacy
- Data Science Environments (Moore-Sloan 2018)
- on which parts to focus
- how to explain complicated concepts in a simple way
- how to stand your ground
- introduce fun techniques that might be obvious
Alexander CS Hendorf
Alexander' professional career was always about digitalization: starting from vinyl records in the nineties to advanced data analytics nowadays. He's a Python Software Foundation fellow, emeritus program chair of EuroPython, PyConDE & PyData Berlin 2019 and the scientific Python conference EuroSciPyhttps://eurscipy.org. He’s one of the 25 mongoDB masters and a regular contributor to the tech community. As regular speaker at international conferences in he love to talk about, discuss and train tech. Being a partner at Königsweg - a boutique Data Science and AI consultancy based in Mannheim, Germany - he's advising and training industry clients in AI, data science, data literacy and big data matters.