Just a place to write
Twitter, as any social media environment has a mechanism to decide what content recommends you. Right now, if you are using Twitter and are under “For you” tab, the content shown is recommended by an engine. In the original map I have from Twitter this capability is shown here: The recommendation code will be opened … Read more
This post is a summary of this video titled: Privacy Preserving Machine Learning with Fully Homomorphic Encryption, done by Jordan Fréry. Abstract In today’s digital age, protecting privacy has become increasingly difficult. However, new developments such as Fully Homomorphic Encryption (FHE) provide a means of safeguarding sensitive client information. We are excited to present Concrete-ML, … Read more
I have been watching this presentation organized by Data Driven NYC where Jorge Sancha (Tinybird) introduces how Tinybird can accelerate many parts of your software development. A Wardley Map with a summary Some data
Purpose The purpose of this exercise is to use a Wardley Map to learn more about the dynamics that the changes in user demand provokes to our ability to serve these physical products. The context is on the physical product space. You have to think about a product that is delivered physically to an user. … Read more
The purpose of this post is to learn about how OpenAI is growing now that they are scaling their solutions. I will use data from the careers section to try to figure out how they are organized. Teams A chart
The publication of the pricing deck for the OpenAI models focused on Enterprises gave me some time about how to approach this from the point of view of companies. I have started with this Wardley Map The starting point I will start with the actual situation of a given company. Where to start? We all … Read more