The 70 + 3×10 model is a simple but effective model for DevOps teams to distribute their time among feature development, maintenance and support, operations, and learning.

ICE·T is a product prioritization model that works well for high-level prioritization and applies to internal products and platforms, too.

Machine learning without proper attention to code or data is futile. But how do you approach data and machine learning governance in practice? With cards!

The Riddler is back in town and no one can deploy a single machine learning model. Throwing more resources at the problem won’t solve anything and Commissioner Gordon knows it. There is only one man who can save Gotham from the pitfalls of perennial productionless prototypes: Batman!

Data is like underwear: preferably hidden from outsiders, and always a lot dirtier than you think.

What is important in life and how can you figure it out before it is too late?

Then you’d better think about your background.

When was the last time you read an article in the press on machine learning operations?