06-19, 13:30–14:15 (Europe/London), Tower Suite 2
All one needs is strategy, skill and resources to make digitalization and AI happen. So why is everything taking so long? Shouldn’t you all be finished yesterday already? An honest talk about how to address the complexity of making data and AI happen in enterprises.
Many incumbents are transitioning to new technologies while their businesses operate on systems that are years or decades old. Introducing new technologies is not just about introducing Open Source or introducing community culture or working agile or SCRUM or explaining complicated technology stuff to executives. The truth is: it requires all of it and likely even more. Mastering innovation requires having many balls in the air at once.
In this talk I'll present a transformation use case of an established player including our best practices and anti-patterns.
We will discuss the following aspects:
- From idea to strategy
- Assessing the status quo
- Introducing Python and Open Source and what to use (or not)
- Legacy is in the the house, still
- Getting all departments on the same page
- Introducing a community-driven collaborative culture
No previous knowledge expected
Alexander Hendorf is responsible for the data and artificial intelligence at the digital excellence consultancy KÖNIGSWEG GmbH. Through his commitment as a speaker and chair of various international conferences and PyConDE & PyData Berlin, he is a proven expert in the field of data intelligence. He's been appointed Python Software Foundation and EuroPython fellow for this various contributions. He has many years of experience in the practical application, introduction and communication of data and AI-driven strategies and decision-making processes.