Artificial Intelligence need to be better understood in enterprises. Close the communications gap between engineers and management. Making data litteracy happen in your organisation.
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
Artificial Intelligence, Business & Start-Ups, Data Science, Machine Learning, Use Cases
Domain Expertise:some
Abstract as a tweet:Artificial Intelligence need to be better understood in enterprises. Close the communications gap between engineers and management. Making data litteracy happen in your organisation.
Python Skill Level:none