519 sessions from 372 speakers: who submitted, where they work, which tracks they chose, where the program committee placed them, and what they wrote about.
Gender comes from speaker profiles. Where a profile left it blank, it was filled in from the speaker's bio, first name or photo.
Unique speakers, then by conference track and format. Track and format rows count speaker slots, so co-presenters each count once per session.
331 of 372 speakers named an employer. 171 organizations are represented. The top 10 account for 22% of speakers with a known company, and 118 organizations sent exactly one speaker.
Unique speakers per company (hover for sessions)
How many companies sent 1, 2, 3… speakers
Unique speakers
Speakers choose a submitted track when they apply. The program committee then places every session in a conference track that fits the program.
As chosen by the submitter
As assigned by the committee
Sessions
Where each submitted track ended up. Hover a ribbon or a track name to follow it.
Acceptance rates for this year's call for papers, split by what the speaker did at earlier Reversim summits. People are matched across the yearly CFP exports by email, then by full name.
Share of speakers with at least one accepted session
Past years in which the speaker submitted at least one session
The same speakers counted two ways: what this year's applicant pool is made of, and what the accepted list is made of. Hover any figure to see exactly what it counts.
| Group | Of all submitters | Of accepted speakers |
|---|---|---|
| Spoke at a past Reversim | 16%60 | 39%24 |
| Submitted before, never spoke | 18%67 | 13%8 |
| First time at Reversim | 66%245 | 48%29 |
| Everyone | 100%372 | 100%61 |
"AI" shows up in 54% of all sessions. 74% mention AI-related terms, and no submitted track has fewer than a fifth of its sessions touching AI.
The most common words in English titles and descriptions. Size shows how many sessions use the word. Hover for the count.
Share of sessions whose title or description mentions AI, LLMs, agents, MCP, RAG, GenAI and similar terms
Patterns across all submissions
Unique speakers by number of sessions they appear on