Data Conference Databasea Query.Farm index
Companies

Renault

Product category (jev): unsure; best guess “Not a vendor” at 46% confidence, so it isn't used in filters or charts
Org type (jev): End-user enterprise 100% confident
Also listed as: Renault Africa Middle East Pacific · Renault Digital · Renault Digital for 3
Conferences sponsored0
Events sponsored0
Speaker slots85 distinct people
Conferences present at5sponsor or speaker
Years active2020–2025

Circuit mix

Where Renault shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.

Presence by conference and year

Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.

  • Title
  • Platinum
  • Gold
  • Silver
  • Bronze
  • Other / unlabeled tier
  • Had speakers

Activity by year

Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.

Conferences present at

Distinct conferences each year, split by whether the company sponsored or only had speakers there.

  • Sponsored
  • Speakers only

Distinct speakers

People from this company on a program that year, each counted once.

Where they've grown or pulled back

Renault has never sponsored a tracked conference, so this follows where its speakers appear instead.

DownNothing recorded in 2026; had speakers at 2 conferences in 2023.

Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.

No longer seen 3

No speakers since 2024 or earlier, though the conference published speaker lists after that.

Regulars 1

Speakers in most years of the span.

  • PyDataspeakers in 2 of 2 years, 2024–25

Lookalikes

Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).

  1. TomTom0.93
  2. Zeenea0.81
  3. Stat4decision0.80
  4. Exasol0.78
  5. Scaleout0.76
  6. Sicara0.75
  7. Airbus0.73
  8. Multiverse Computing0.71

18 Cluster: Big Data & AI Paris · Gartner Data & Analytics Summit circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 0 this company sponsored).

No co-sponsors: this company has no recorded sponsorships, or sponsored alone.

Neighborhood: companies with nearby conference footprints

Renault (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.

RenaultTomTomStat4decisionEuropean CommissionSicaraMultiverse ComputingXebiaToptalAirbusGlobantEpsilonTheodoOVHArtefact智谱 AIData AnalyticsPublicis SapientSopra SteriaFPTPwCOrange BusinessAxians Business AnalyticsAcxiomCGIKili TechnologyOpendatasoftUiPathGenpactGraphwiseWomen in DataGlean
RenaultTomTomStat4decisionEuropean CommissionSicaraMultiverse ComputingXebiaToptalAirbusGlobantEpsilonTheodoOVHArtefact智谱 AIData AnalyticsPublicis SapientSopra SteriaFPTPwCAcxiomCGIKili TechnologyUiPathGenpactGraphwiseWomen in DataGlean

Sponsorships 0

No sponsorships recorded for Renault.

Speakers 8

SpeakerEventRoleTalkLinks
Alix Tiran-CappelloPyData Paris 2025talkHow to do real TDD in data science? A journey from pandas to polars with pelage!Video
Alexandre CartonPyData Paris 2024talkMLOps at Renault Group: A Generic Pipeline for Scalable Deployment—
Alix Tiran-CappelloPyData Paris 2024talkMLOps at Renault Group: A Generic Pipeline for Scalable Deployment—
Luc JuliaWorld AI Cannes Festival 2024featured——
Luc JuliaBig Data & AI Paris 2023keynotePromesses et réalités des IA génératives—
Luc JuliaWorld AI Cannes Festival 2023featured——
Seham ElbehissyData Innovation Summit MEA 2022speaker——
Mohamed-Achref MaizaData Science UA Conference 8 (March 2020)speakerOptimization in multi-label classification and system orchestration with TFX and Kubeflow Pipelines—