阿里云
Circuit mix
Where 阿里云 shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- AI engineering & MLOps100%8 events
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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| AICon 全球人工智能开发与应用大会 (AICon Global AI Development and Application Conference) |
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.
Where they've grown or pulled back
阿里云 has never sponsored a tracked conference, so this follows where its speakers appear instead.
FlatHad speakers at 1 conference in 2026, flat from 1 in 2024.
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.
Regulars 1
Speakers in most years of the span.
- AICon 全球人工智能开发与应用大会 (AICon Global AI Development and Application Conference)speakers in 3 of 3 years, 2024–26
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 阿里云.
Speakers 28
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| 冯梦轲(翼宏) | AICon 全球人工智能开发与应用大会 | 北京 | speaker | 从真实 Agent 负载到超节点推理：M890 优化与 ASpeed 集群协同 | — |
| 周琦 | AICon 全球人工智能开发与应用大会 | 北京 | host | — | — |
| 范苑 | AICon 全球人工智能开发与应用大会 | 北京 | host | — | — |
| 姜皓楠 | AICon 全球人工智能开发与应用大会 | 深圳 | speaker | PolarDB Agent Lakebase：打造 AI 时代 训练与推理统一的数据底座 | — |
| 张鑫 | AICon 全球人工智能开发与应用大会 | 深圳 | speaker | 为什么 AI Agent 拿到数据却不会推理？可观测对象图语义层的设计与开源实践 | — |
| 时宇博 | AICon 全球人工智能开发与应用大会 | 深圳 | speaker | 动手实验：用 PolarDB Agent Lakebase 从零构建 AI 数据沙箱 | — |
| 耿倞 | AICon 全球人工智能开发与应用大会 | 深圳 | speaker | PolarDB Agent Lakebase 架构原理：为 AI Agent 构建的原生数据基础设施 | — |
| 赵东 | AICon 全球人工智能开发与应用大会 | 深圳 | speaker | 百万 Agent 同时在线，规模化 Agent WorkSpace 落地实践 | — |
| 邱艺敏 | AICon 全球人工智能开发与应用大会 | 深圳 | speaker | 智驾 Agent 数据底座：Lakebase × PolarRay × Ontology 实践 | — |
| 阮城锋 | AICon 全球人工智能开发与应用大会 | 深圳 | speaker | 让 Agent 真正驱动销售增长——FDE 模式下的业务流重构实战 | — |
| 李博康 | AICon 全球人工智能开发与应用大会 | 上海 | speaker | AI Agent 沙箱的网络安全：从流量隔离到智能治理 | — |
| 王炳燊 | AICon 全球人工智能开发与应用大会 | 上海 | speaker | AI Agent 沙箱的网络安全：从流量隔离到智能治理 | — |
| 贾珂 | AICon 全球人工智能开发与应用大会 | 上海 | speaker | 大模型云上训练工程突破：阿里云PAI在超大规模集群下的调度与容错实践 | — |
| 马腾 | AICon 全球人工智能开发与应用大会 | 上海 | speaker | 记忆感知的大模型 KVCache 优化 | — |
| 周絮 | AICon 全球人工智能开发与应用大会 | 深圳 | speaker | AI Agent + AI Profiling，构建高效智能运维双支柱 | — |
| 张凯 | AICon 全球人工智能开发与应用大会 | 深圳 | speaker | 云原生 AI 支撑大模型服务落地的创新与实践 | — |
| 王德山 | AICon 全球人工智能开发与应用大会 | 深圳 | host | — | — |
| 蒋林泉 | AICon 全球人工智能开发与应用大会 | 深圳 | keynote | 阿里云大模型应用落地实践之路 | — |
| 马腾 | AICon 全球人工智能开发与应用大会 | 深圳 | speaker | Mooncake：面向长上下文的 KVCache 中心化推理优化方案 | — |
| 姜剑（飞樰） | AICon 全球人工智能开发与应用大会 | 上海 | speaker | 阿里云客户服务领域Agent在业务提效上的思考与创新实践 | — |
| 李元龙 | AICon 全球人工智能开发与应用大会 | 上海 | speaker | 超越算力瓶颈，大模型推理的跨层优化前沿实践 | — |
| 王德山 | AICon 全球人工智能开发与应用大会 | 上海 | host | — | — |
| 王浩 博士 | AICon 全球人工智能开发与应用大会 ｜北京 | host | — | — |
| 谢榛 | AICon 全球人工智能开发与应用大会 ｜北京 | speaker | 行业多模态大模型训推加速落地思考 | — |
| 费跃 | AICon 全球人工智能开发与应用大会 ｜北京 | speaker | 构建企业级 RAG 系统的创新实践 | — |
| 黄高攀 | AICon 全球人工智能开发与应用大会 ｜北京 | speaker | 大模型在汽车行业的落地实践 | — |
| 欧明栋 | AICon 全球人工智能开发与应用大会 | 上海 | speaker | 阿里云 AI 搜索 RAG 大模型优化实践 | — |
| 李深 | AICon 全球人工智能开发与应用大会 暨 大模型应用生态展 | speaker | BladeLLM 大模型高性能部署框架 | — |