Data Conference Databasea Query.Farm index
Companies

datanizing

Product category: GenAI & LLMs 54% confident
Org type: Consultancy 68% confident
Also listed as 1 other name

datanizing GmbH

Conferences sponsored0
Events sponsored0
Speaker slots161 distinct people
Conferences present at3sponsor or speaker
Years active2019–2026
Talks, past 12 months1#3079 on the communication index · one voice

Circuit mix

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

The year around now

Conferences where datanizing sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.

JanFebMarAprMayJunJulAugSepOctNovDecdata2daydata2day
Held in the past 12 months Next 12 months Today, Nov 9, 2026

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
Conference20192020202120222023202420252026
Minds Mastering Machines (M3)
data2day
MLCon (ML Conference)

Activity by year

Three measures on one year axis; each panel has its own scale.

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

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

DownHad speakers at 1 conference in 2026, down from 2 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 1

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

Regulars 1

Speakers in most years of the span.

Not on the company map: lookalikes are computed only for companies present at four or more conferences.

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.

Sponsorships 0

No sponsorships recorded for datanizing.

Speakers 16

SpeakerEventRoleTalkLinks
Christian Winklerdata2day 2026talkLokale Sprachmodelle beschleunigen mit Multi-Token Prediction—
Christian WinklerMinds Mastering Machines 2025keynoteKeynote: Denkende Sprachmodelle?—
Christian Winklerdata2day 2024workshopDatenanalyse mit Machine Learning—
Christian Winklerdata2day 2024talkEine Einführung in Large Language Models—
Christian Winklerdata2day 2024talkPython-Datenanalyse: Marimo statt Jupyter, Polars statt Pandas, Altair statt Matplotlib—
Christian WinklerMinds Mastering Machines 2024workshopEigene Sprachmodelle feintunen und nutzen—
Christian WinklerMinds Mastering Machines 2024talkEine Einführung in Large Language Models—
Christian Winklerdata2day 2023talkVisualisierung mit Streamlit und Apache eCharts—
Christian WinklerMinds Mastering Machines 2023keynoteKeynote: Ein Sprachmodell für die Westentasche—
Christian WinklerMLCON 2022 MunichspeakerIntroduction to Sentence Embeddings—
Christian WinklerMinds Mastering Machines 2022talkSentence Embeddings in der Praxis—
Dr. Christian WinklerML Conference Berlin 2021workshopHow to turn large amounts of text into insights with machine learning—
Dr. Christian WinklerML Conference Berlin 2021speakerNatural Language Processing (NLP): The Transformer Zoo—
Christian Winklerdata2day 2019talkGraph-basierte Identifikation von Communitys—
Christian WinklerMinds Mastering Machines 2019workshopModerne Methoden des Text-Mining—
Christian WinklerMinds Mastering Machines 2019talkModerne Methoden der automatisierten Textanalyse—