Reviews & Recommendations

I read and I see things

AI at large

Why have MLOps when you have DevOps (or not)?

I was lucky to face the inevitability to master DevOps while deploying some of my server projects, mostly using Docker and Kubernetes and Linux. MLOps is here to shatter my sense of accomplishments with a whole new set of concepts and pipelines that I have to master, again, double luck!

#ai

#mlops

AI at large

On how information might compromise our humanity in the age of AI

For the last 100,000 years, we Sapiens have accumulated enormous power. But despite allour discoveries, inventions, and conquests, we now find ourselves in an existential crisis. The world is on the verge of ecological collapse. Misinformation abounds. And we are rushing headlong into the age of AI—a new information network that threatens to annihilate us. For all that we have accomplished, why are we so self-destructive?

#ai

#mlops

#ethics

#justice

AI at large

On how to build a middleground between machine learning and human values

This is a book about machine learning and human values: about systems that learn from data without being explicitly programmed, and about how exactly—and what exactly—we are trying to teach them.

#ai

#mlops

#ethics

#justice

Servant leadership

One of the most succinct books on an Agile & Lean inspired program management

I have extensively used this book on different missions to better promote Agile principles on my program/projects

#agile

#lean

#management