Fully Homomorphic Encryption

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

OpenAI’s Foundry

This post is a second version of the map drawn on the post Microsoft, Google, Chat GPT, Bard and other things. The pricing table Last week a pricing deck of OpenAI models have been leaked, and it’s an interesting information to understand what is potentially coming on the prompt industry. So in a nutshell: How … Read more

Olympic games

Background This is a series of Wardley Maps trying to explore outside the competitive landscape. Using the Olympic Game as example. Starting in 1988 (it’s what I remember). Purpose: Show my view about how a country pride event turned into a commercial event. I don’t like to do maps alone, so feedback is welcomed. Seoul … Read more

The limits of Wardley Maps doctrines

Wardley Map doctrines are very useful and to work on them. It’s a good basis to work on the right environment. Saying it, in my opinion, the doctrines have some aspects that the person using it needs to take into consideration: To be completed

Twitter shop

Today I realized you can shop in Twitter: There are 2 main time lines right now in Twitter: The shop is offered when you look for something and there are products offered. Let’s see how these products are shown in other sides of Twitter. More than probably the shopping options will be offered in the … Read more