Many established companies 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 the complicated technology stuff to executives. It's all of that any more.

In this talk I will preset with use cases five key learnings, each 5 Minutes

1. You understand AI at a high level, now what? Many companies struggle to find the right starting point for AI. Here I will present guidelines and best practices to get started.
2. Prototypes and Production Thanks to open source and friendly people providing boilerplate code online, it's not too hard to build a prototype that impresses everyone around you. We will cover use cases, such as and whether taking a prototype to production - i.e. integrating it into the company's ecosystem - is a viable path and other options to consider.
3. Legacy and Burdens Your business is running on legacy. Best practices and steps, how and when moving to Open Source is a viable plan (or not)
4. Driving Impact at Scale Innovation is complex: e.g. cloud is not "the solution" - the solution consists of many partial solutions: including cloud, open source software, software engineering or corporate culture. Architecture and best practices how to keep many balls in the air at once.
5. You May Have the Necessary Resources, but Lack Experience Summary. Having everything in place, why are we moving so slowly? Best practices to identify what you miss.

All of the above will be covered using real-life use cases to illustrate the challenges and solutions.

Alexander CS Hendorf

Affiliation: Königsweg GmbH

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.

visit the speaker at: Github • Homepage