ING
Also listed as 10 other names
ING Bank · ING Belgium · ING Global Risk · ING Group · ING Hubs · ING N.V · ING Netherlands · ING Tech Poland · ING Türkiye · ING Wholesale Banking Advanced Analytics
Circuit mix
Where ING shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Software engineering30%7 events
- Python & R data science28%11 events
- AI engineering & MLOps11%5 events
- Modern data stack & practitioner6%3 events
- Open-source data infrastructure6%3 events
- Streaming6%3 events
- Enterprise, analyst & AI expos6%3 events
- Postgres & open-source databases2%1 event
- Microsoft data platform2%1 event
- Cloud providers2%1 event
The year around now
Conferences where ING 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.
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.
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.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Platinum
- Silver
- Bronze
Where they've grown or pulled back
FlatSponsored 1 conference in 2026, flat from 1 in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
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).
- UC San Diego0.76
- Diagrid0.75
- Just Eat Takeaway.com0.74
- Honeycomb0.72
- The Institute for Ethical AI & Machine Learning0.72
- Deliveroo0.72
- Sticker Mule0.72
- Wix0.71
17 Cluster: PyData · QCon circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 9 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Sticker Mule | 7 | 78% |
| Diffblue | 5 | 56% |
| Honeycomb | 5 | 56% |
| Couchbase | 4 | 44% |
| Datadog | 4 | 44% |
| LaunchDarkly | 4 | 44% |
| CircleCI | 3 | 33% |
| Hasura | 3 | 33% |
| Hazelcast | 3 | 33% |
| Imaginary Cloud | 3 | 33% |
| Redpanda | 3 | 33% |
| Ably | 2 | 22% |
| Auth0 | 2 | 22% |
| Camunda | 2 | 22% |
| Conduktor | 2 | 22% |
Neighborhood: companies with nearby conference footprints
ING (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.
Sponsorships 9
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| QCon London 2026 | Mar 16–18, 2026 | London, United Kingdom | Silver | Silver |
| QCon London 2025 | Apr 7–9, 2025 | London, United Kingdom | Silver | Silver |
| QCon London 2024 | Apr 8–10, 2024 | London, United Kingdom | Silver | Silver |
| QCon London 2023 | Mar 27–29, 2023 | London, United Kingdom | Silver | Silver |
| QCon London 2022 | Apr 4–6, 2022 | London, United Kingdom | Silver | Silver |
| QCon London 2020 | Mar 2–4, 2020 | London, United Kingdom | Silver | Silver |
| PyData Warsaw 2019 | Dec 12–14, 2019 | Warsaw, Poland | Platinum | Platinum |
| PyData Amsterdam 2019 | May 10–12, 2019 | Amsterdam, Netherlands | Bronze | Bronze |
| QCon London 2019 | Mar 4–6, 2019 | London, United Kingdom | Platinum Sponsors | Platinum |
Speakers 45
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Thomas Geerinck | CDAO UK 2027 | keynote | Keynote Case Study | From AI Ambition to Enterprise Scale | — |
| Özge Çinko | PyData Amsterdam 2026 | tutorial | LLM Evaluation in Production: A/B Testing and Observability | — |
| Özge Çinko | PyData London 2026 | talk | LLM-Based Recommendation Systems: From Embeddings to Real Personalization | — |
| Özge Çinko | PyCon Italia 2026 | talk | Designing Memory for AI Applications in Python | — |
| Özge Çinko | PyCon Italia 2026 | talk | How Shazam Identifies Songs in 5 Seconds: Audio Fingerprinting with Python | Video |
| Ayşegül Aydoğan Oğuz | Diva: Dive into AI 2026 | speaker | — | — |
| Eileen Kapel | MLcon Amsterdam 2026 | speaker | AIOps at ING: Correlating Signals for Smarter Incident Response | — |
| Jan Lennartz | MLcon Amsterdam 2026 | speaker | AIOps at ING: Correlating Signals for Smarter Incident Response | — |
| Dev Jadhav | PyTorch Conference Europe 2026 | speaker | DualPipe from Scratch: Implementing DeepSeek's 5D Parallelism in PyTorch | — |
| Yaping (Luna) Luo | QCon London 2026 | speaker | From Pilot to Impact: How AI Is Transforming Large‑Scale Engineering | — |
| Jarno Boeijink | Coalesce 2025 | speaker | Move from a legacy stack towards a cloud-native data and analytics platform | Video |
| Florenz Hollebrandse | PyData Amsterdam 2025 | talk | Flip the Plan: Fast-Track Your AI/ML Model Integration with a Back-to-Front Implementation Strategy | — |
| Niels Neerhoff | PyData Amsterdam 2025 | talk | Streamlining data pipeline development with Ordeq | — |
| Simon Brugman | PyData Amsterdam 2025 | talk | Streamlining data pipeline development with Ordeq | — |
| ShivaDeep Gundoju | PGDay Lowlands 2025 | lightning talk | Lightning Talks | — |
| ShivaDeep Gundoju | PGDay Lowlands 2025 | speaker | How Far Did Oracle Come? Kubernetes Operator !!! | — |
| Luis García Castro | Current London 2025 | speaker | Exactly-Once vs. Idempotency: When Misconceptions Create Complexity | — |
| Oscar Caraballo | Current London 2025 | speaker | Exactly-Once vs. Idempotency: When Misconceptions Create Complexity | — |
| Damian Kowalik | Data & AI Warsaw Tech Summit 2025 | speaker | Automation in Credit Risk Model Life Cycle | — |
| Marcin Jeżo | Data & AI Warsaw Tech Summit 2025 | speaker | Automation in Credit Risk Model Life Cycle | — |
| Daniele Tonella | QCon London 2025 | speaker | Engineering Excellence at ING: Balance Autonomy with Standardization | — |
| Farzam Fanitabasi | PyData Amsterdam 2024 | talk | Productionizing Generative AI at ING: Navigating Risk, Compliance, and Defense Mechanism | — |
| Natasha Govender-Ropert | PyData Amsterdam 2024 | talk | AI: Ethical & Responsible by Design | — |
| Rocio Lopez | QCon London 2024 | speaker | Driving Business Success: Exploring ING's Tech Strategy for Customer Value Creation | — |
| Erik de Nooij | Flink Forward Seattle 2023 | speaker | Model inference in Flink SQL using a custom HTTP connector | — |
| Pradyot Patil | Flink Forward Seattle 2023 | speaker | Model inference in Flink SQL using a custom HTTP connector | — |
| Aydin Senaydin | NDSML Summit 2023 (7th edition) | speaker | — | — |
| Azamat Omuraliev | PyData Amsterdam 2023 | talk | Building true Machine Learning MVPs: Validating the value chain as a product data scientist | — |
| Busra Cikla | PyData Amsterdam 2023 | talk | Transfer Learning in Boosting Models | — |
| Wouter Ligtenberg | QCon London 2023 | speaker | How ING Accelerated Kubernetes Deployments Across 500+ Applications: Challenges & Lessons Learned | — |
| Busra Cikla | NDSML Summit 2022 (6th edition) | speaker | — | — |
| Mike Nicpan | DoK Day North America 2022 (at KubeCon + CloudNativeCon North America 2022) | panelist | Panel: Fybrik - A Kubernetes based platform for governed data use | — |
| Jakub Plusczok | SQLDay 2022 | speaker | Atakujemy SQL Server | — |
| Tijl Kindt | PyData Eindhoven 2021 | talk | Real-time transaction categorisation with a Bayesian feedback loop | — |
| Maike Fischer | PyData Eindhoven 2020 (online) | talk | Productionizing an unsupervised machine learning model to understand customer feedback | — |
| Bolke de Bruin | Airflow Summit 2020 | keynote | Keynote: Airflow then and now | Slides · Video |
| Bolke de Bruin | Airflow Summit 2020 | talk | Data DAGs with lineage for fun and for profit | Video |
| Dagmar van der Plas | AWS re:Invent 2019 | breakout | Think Forward Initiative: 100M people making better financial decisions | Slides · Video |
| Adil Akhter | Flink Forward Europe 2019 | speaker | Deploying Stateful Functions-as-a-Service (FaaS) on Streaming Dataflows | — |
| Camilla Björkqvist | Chief Data & Analytics Officers Europe 2019 (CDAO Europe) | speaker | — | — |
| Thomas Kluiters | EuroPython 2019 | talk | Securely executing Python machine learning models with distroless images at ING | Slides |
| Ferd Scheepers | DataWorks Summit Washington, DC 2019 | speaker | Sharing is Caring: Using Egeria to Establish True Enterprise Metadata Governance | — |
| Fabian Jansen | PyData Amsterdam 2019 | talk | What’s the uncertainty on your ML prediction? | Video |
| Dor Kedem | DataWorks Summit Barcelona 2019 | speaker | Model Factory at ING Bank | — |
| Dor Kedem | Data Innovation Summit 2019 | speaker | — | — |