Blog
Welfare in the Exponential Age with Azheem Azhar
One of the challenges we face are the need to innovate and transform our institutions to be more dynamic and regenerative. Whether it be the WHO, World Bank, UN, or a government agency, etc. -- these institutions were made for a world that was far more stable; they were designed in a world where rapid pace of technological was not a part of the...
Data Portability: NYPD vs. Palantir
The concept of data portability is all too often simplified to the question "Can we have our data in a machine readable format?" At best, this ensures the data can be loaded to a new system and at worst the data can be added to a data warehouse. Palantir, Peter Thiels company, provides a lens into the importance of "thinking from the end" with...
Rules of Machine Learning: Best Practices for ML Engineering
An impressive list of 24 ML engineering rules! martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf
Machine Learning Innovation Rules
It’s tempting to get caught in the trap of applying a promising new technology like Machine Learning to every problem, but try and resist this temptation. Instead, try to follow Joshua Porter’s advice as he states in his Principles of Product Design: “...[P]roduct innovation isn't about new products that solve new problems. Product innovation is...
What is your role in every meeting no matter what?
Get your questions answered: It you have a list of questions that you need answered, print them before the meeting and tick them off as they are answered. Help keep the meeting focused. If a meeting goes off topic, then say “I appreciate this topic; however... ....I don’t think we can resolve it in the meeting and let’s mark this as an action...