Add more adopters #833

Please add yourself as adopter to https://github.com/kubeflow/community/blob/master/ADOPTERS.md. See also kubeflow/website#4036

Hint many Youtube links to talks and contacts are not yet correct. Sometimes the title is wrong or the talks are not yet available. Typical LLM hallucination. Also github issues and PRs have many sources not yet listed here.

1. Technology

• Aiotize, Sources: Arrikto Success Stories, Contacts: None
• AutomationwhiZ, Sources: Arrikto Success Stories, Contacts: None
• AWS (Infrastructure Provider), Sources: Kubeflow on AWS, aws-samples/aws-do-kubeflow: A do-framework project to simplify deployment of Kubeflow on Amazon EKS - GitHub, Build and deploy a scalable machine learning system on Kubernetes with Kubeflow on AWS, Contacts: Individuals involved in awslabs/kubeflow-manifests and aws-samples/aws-do-kubeflow GitHub repositories
• Canonical, Sources: Canonical Blog - Announcing Charmed Kubeflow 1.10, Contacts: Andreea Munteanu, Kimonas Sotirchos, Manos Vlassis
• Cognizant, Sources: Arrikto Success Stories, Contacts: None
• DKube, Sources: Blog and Youtube, Contacts: None
• Eugenie.ai, Sources: Arrikto Success Stories, Contacts: None
• Google (Project Initiator & Infrastructure Provider), Sources: Kubeflow Official Documentation, James Wu, James Liu, Chen Sun
• GroupBy, Sources: CNCF Webinar Slides - Taming Your AI/ML Workloads with Kubeflow (PDF Page 43), Contacts: Mohamed Elsaied
• IBM, Sources: IKS Distribution(https://developer.ibm.com/components/kubeflow/) and Developer guides, Contacts: Patrick Titzler, Sebastian Lehrig
• Microsoft (Infrastructure Provider), Sources: Kubeflow on AKS - Azure documentation, Azure/kubeflow-aks - GitHub, Contacts: Individuals involved in the Azure/kubeflow-aks GitHub repository
• One Technologies, Sources: CNCF Webinar Slides - Taming Your AI/ML Workloads with Kubeflow (PDF Page 43), Contacts: None
• Red Hat, Sources: Red Hat OpenShift AI, Contacts: Around 20 Redhat Employes contribute to Kubeflow, especially KFP
• Roblox, Sources: Roblox User Story (Kubeflow Summit 2022), Contacts: Denis Goupil
• Spotify, Sources: Spotify managed Kubeflow;2023 Blogpost;2022 Blogpost; 2019 Blogpost, Contacts: Divita Vohra, Sr. Product Manager, Keshi Dai, Sr. ML Engineer, David Xia, Sr. ML Engineer
• Workday, Sources: Kubeflow Summit, Contacts: Adib Souly
• Mcafee, Todo

2. Telecommunication

• AT&T, Sources: TODO kubecon EU2025 talk, Contacts: TODO
• Telia, Sources: GitHub ADOPTERS.md (Official adopter list), TODO Kubecon 2025 Talk, Contacts: Ake Edlund, Sarah Berenji, Tarek Abouzeid
• Vodafone, Sources: TODO Kubecon 2025 talk and Arrikto Success Stories, Arrikto - ML in Telecom, Contacts: TODO

3. Logistics

• DHL, Sources: GitHub ADOPTERS.md (Official adopter list), GitHub PR #828 (Adding DHL to adopters list), TODO Kubecon talks, Contacts: Julius von Kohout
• Maersk, Sources: Many Job postings and private contacts, Contacts: None
• Volantio, Sources: Arrikto Success Stories, Contacts: None

4. Finance

• Capital One, Sources: Capital on blog Job offers and private contacts, Contacts: Alexander Pearlman
• Goldman Sachs, Sources: Arrikto Success Stories, Contacts: Erik Erlandson, David Stein
• JP Morgan, Sources: Job offerings and talks, Contacts: TODO
• Nubank, Sources: Nubank Blog - Machine Learning workflows with CPW: From complex pipelines to seamless execution, Nubank Blog - Automatic retraining for machine learning models, Contacts: (LinkedIn searches required for specific contacts)
• S&P Global, Sources: Arrikto Success Stories (Listed as Financial Services company using Kubeflow), Contacts: TODO
• Valore D, Sources: Arrikto Success Stories (Listed as company using Kubeflow), Contacts: None

5. Medical/Healthcare

• AstraZeneca, Sources: Data Reply Whitepaper (Lists AstraZeneca as customer of Seldon, often used with Kubeflow, but doesn't confirm Kubeflow usage directly - Now superseded by talk source), Azimuth - AstraZeneca’s Cloud Native Machine Learning Platform - Nithin R, AstraZeneca, Contacts: https://www.linkedin.com/in/nithin-rajan
• Babylon Health, Sources: Kubernetes Case Study - Babylon Health (Mentions using Kubeflow for managing ML pipelines on Kubernetes), Contacts: Den Ikonnikov (Speaker at KubeCon Europe 2022 - search on LinkedIn)
• Roche, Sources: TODO kubecon talks, Contacts: TODO KRzystof Romanowski
• TODO Bayer

6. Research/Academic Institutions

• CERN, Sources: GitHub ADOPTERS.md (Official adopter list), TODO Kubecon talks, Contacts: TODO
• LMU Munich Hospital, Sources: LMU Klinikum Job Posting for Student Assistant (Mentions "Experience with Slurm/Singularity/Kubeflow" as desirable), Contacts: TODO

7. Retail

• Fynd, Sources: Arrikto Success Stories (Listed as E-Commerce company using Kubeflow), Arrikto Blog Post (Showcases Kubeflow pipelines, implies usage context), Contacts: None
• Lowe's Companies, Sources: Arrikto Success Stories (Listed as Retail company using Kubeflow), TODO, Contacts: TODO
• PepsiCo, Sources: TODO Kubecon talk, Contacts: TODO

8. Administration/Government

• Statistics Canada, Sources: Statistics Canada Analytical Work Environment (AAW) Description (Mentions AAW platform), Statistics Canada AAW Documentation (Explicitly states "The AAW is based on Kubeflow" and links to Kubeflow documentation), TODO KUBECON TALK, Contacts: TODO

9. Automobile

• BMW Group, Sources: Thoughtworks Case Study - BMW Group: Bringing connected AI to life (States Kubeflow was selected), AWS Blog - BMW Group uses AWS ML solutions to drive personalized customer experiences (Mentions Connected AI Platform uses Kubeflow), Contacts: (LinkedIn searches required, potentially including Jens Kohl mentioned in source context)
• Bosch, Sources: Arrikto Success Stories (Listed as company using Kubeflow), Contacts: TODO Philipp Grubmüller (Speaker at KubeCon Europe 2023 - search on LinkedIn), Tobias Fischer (Speaker at KubeCon Europe 2023 - search on LinkedIn)
• Volkswagen Group, Sources: Rivian and VW Group Technology Careers - Sr. ML Ops Engineer, GenAI Job Posting (Job posting for joint venture mentions implementing ML Frameworks like Kubeflow), Contacts: (LinkedIn searches required for specific contacts)
• Volvo (Cars), Sources: TODO Kubecon talks CNCF Webinar Slides - Taming Your AI/ML Workloads with Kubeflow (PDF Page 43) (Listed as adopter), Contacts: TODO
• Toyota , Sources: TODO, Contacts: TODO

10. Energy/Utilities

• E.ON, Sources: Arrikto Success Stories (Listed as Energy company using Kubeflow), TODO Kubecon Talk, Contacts: Fabian Jakobs (Speaker at CloudNativeDataCon Europe 2023 - search on LinkedIn), Simon Mochan (Speaker at CloudNativeDataCon Europe 2023 - search on LinkedIn)

11. Social Media/Dating

• Bumble, Sources: Librerías Lectura - A hack we properly have fun with at Bumble was ClearML (States, "Then on top, we use Kubeflow."), Bumble Inc. - Machine Learning Engineer, Computer Vision Job Posting (Mentions "Experience in deploying high-load ML applications on container orchestrators (K8s, Kubeflow, etc)"), IT Job Watch UK - Machine Learning Engineer Computer Vision Job London UK (Lists Kubeflow as a job requirement), TODO Kubecon talks, Contacts: Dmytro Kalpakchi (Speaker at CloudNativeDataCon Europe 2023 - search on LinkedIn), Dmytro Pidgornyi (Speaker at CloudNativeDataCon Europe 2023 - search on LinkedIn)
• Hinge, Sources: Hinge Careers - Senior Machine Learning Engineer, Dating Outcomes Job Posting (Lists "Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plus"), Hinge Careers - Senior Machine Learning Engineer, Trust & Safety Job Posting (Mentions "Familiarity with solutions like Databricks, Ray, or KubeFlow is a plus"), Welcome to the Jungle - Hinge Machine Learning Engineer Job Posting (Explicitly lists "Kubeflow" as a technology used), Contacts: (LinkedIn searches required for specific contacts)
• Tinder, Sources: Plausible via Match Group ownership and their scale, but no direct, public confirmation found., TOD github issues and PRs, Contacts: (Confirmation needed)

12. Consulting

• BCG GAMMA, Sources: Arrikto Success Stories (Listed as Consulting company using Kubeflow), Contacts: None

13. Manufacturing

• TODO covestro
• Rosen Group, Sources: https://blog.viadee.de/mlops-hightech-made-in-lingen, Contacts: TODO

14. Insurances

• Provinzial, Sources: https://blog.viadee.de/kubeflow-provinzial-aufbau-einer-modernen-machine-learning-und-mlops-plattform-im-versicherungswesen, Contacts: TODO