Beyond Market Intelligence/self-supervised next-event prediction

self-supervised next-event prediction

Beyond Market Intelligence keeps self-supervised next-event prediction in one place: one story so far. The section currently leads with “Unlocking event sequences with additive embeddings and self-supervised prediction”. A running sum of event vectors turns a history of purchases, logs, or clinical codes into something linear models can read directly. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every self-supervised next-event prediction story on Beyond Market Intelligence, newest first.

Unlocking event sequences with additive embeddings and self-supervised prediction
Machine Learning

Unlocking event sequences with additive embeddings and self-supervised prediction

A running sum of event vectors turns a history of purchases, logs, or clinical codes into something linear models can read directly. That is the deceptively simple idea behind Event2Vec, a small library Antonin Sulc built for self-supervised next-event prediction. The arithmetic is transparent: a churn score becomes a sum of embedded contributions. What starts as root-cause analysis at Berkeley Lab could reshape how we treat sequences as additive, not opaque. For deeper coverage, see how Netflix tackles observability across 38M events per second.