Samsung Electronics
Circuit mix
Where Samsung Electronics shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Cloud providers29%6 events
- AI engineering & MLOps24%3 events
- Research24%3 events
- Enterprise, analyst & AI expos14%3 events
- Vendor flagships & roadshows5%1 event
- Python & R data science5%1 event
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.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Gold
- Silver
- Other / unlabeled
Where they've grown or pulled back
UpSponsored 2 conferences in 2026, up from 1 in 2022.
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.
New 2
First sponsored in 2025 or later.
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)first sponsored 2026, Silver
- PyTorch Conferencefirst sponsored 2026, Silver
Once or on and off 2
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- NeurIPS (Conference on Neural Information Processing Systems)once, 2022, Gold
- ScaledML (Scaled Machine Learning Conference)once, 2019, unranked tier
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).
11 Cluster: NeurIPS · ACM SIGKDD circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 4 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| 4 | 100% | |
| Meta | 3 | 75% |
| Alibaba Cloud | 2 | 50% |
| Amazon Web Services | 2 | 50% |
| Apple | 2 | 50% |
| Citadel | 2 | 50% |
| The D. E. Shaw Group | 2 | 50% |
| FuriosaAI | 2 | 50% |
| Hewlett Packard Enterprise | 2 | 50% |
| Huawei | 2 | 50% |
| IBM | 2 | 50% |
| Intel | 2 | 50% |
| Jane Street | 2 | 50% |
| LG AI Research | 2 | 50% |
| Lightning AI | 2 | 50% |
Neighborhood: companies with nearby conference footprints
Samsung Electronics (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 4
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyTorch Conference North America 2026 | Oct 20–21, 2026 | San Jose, United States | Silver | Silver |
| KDD 2026 (32nd ACM SIGKDD Conference) | Aug 9–13, 2026 | Jeju, South Korea | K-Silver | Silver |
| NeurIPS 2022 | Nov 28, 2022 – Dec 9, 2022 | New Orleans, United States | Gold | Gold |
| ScaledML 2019 | Mar 27–28, 2019 | Mountain View, United States | Sponsor | Other |
Speakers 19
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Seung Yeol Hyun | AWS re:Invent 2026 | breakout | Deep dive into Amazon Aurora DSQL and its architecture | — |
| Jung Suh | Snowflake Summit 26 | featured | — | — |
| Kevin Shin | Data Innovation Summit 2026 | keynote | — | — |
| Kyotack Tylor Kim | AWS re:Invent 2025 | lightning talk | How Samsung Uses AI Agents to Optimize Infrastructure at Scale (sponsored by Cast AI) | Video |
| Manseok Kim | AWS re:Invent 2025 | lightning talk | How Samsung optimized 1.2 PB on Amazon DynamoDB with zero downtime | Video |
| Youngseop Lee | AWS re:Invent 2025 | breakout | AI-Driven Operations: Scaling Observability and Cost Optimization | Video |
| Changhee Park | AWS re:Invent 2024 | breakout | Running a complex design environment on AWS | Video |
| Je Min Kim | AWS re:Invent 2024 | breakout | Best practices for creating multi-Region architectures on AWS | Video |
| Yeongyu Hwang | AWS re:Invent 2024 | breakout | Running a complex design environment on AWS | Video |
| Lee Jae-yong | AI Seoul Summit 2024 | speaker | — | — |
| Hyuncheol Kim | AWS re:Invent 2023 | breakout | Migrating to AWS Graviton with AWS container services | Video |
| Jewon Lee | AWS re:Invent 2022 | breakout | How Samsung modernized architecture for real-time analytics | Slides · Video |
| Junhyeok Song | AWS re:Invent 2020 | breakout | Samsung Smart TV: Globally scaling with AWS Fargate Spot | Slides · Video |
| Kyungsik Myung | AWS re:Invent 2020 | breakout | Samsung Smart TV: Globally scaling with AWS Fargate Spot | Slides · Video |
| Shalini Ghosh | KDD 2020 (virtual) | ADS invited talk | Multimodal Machine Learning for Video and Image Analysis | — |
| Jong Hoon Shin | ScaledML 2020 | poster | — | — |
| Joseph Hassoun | ScaledML 2020 | poster | — | — |
| Nicholas Herriot | PyCon DE & PyData Berlin 2019 | talk | Using Micropython to develop an IoT multimode sensor platform with an Augmented Reality UI | — |
| Matthew Fritz | Big Data Paris 2019 | keynote | Deep Prescription: Optimizing The Enterprise With Artificial Intelligence | — |