Alexander Hendorf - Lessons Learned About Data & AI at Enterprises and SMEs | PyData London 2022

Alexander Hendorf presents:

Lessons Learned About Data & AI at Enterprises and SMEs

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

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

[himanshupandey]

Yet to practice and watch, but thanks for uploading free learning content consistently.