实时数据 智能未来

深圳 2026

2026年 6月26日-27日 

深圳华侨城洲际酒店

FFA2026-1
Artboard 22

在Flink Forward Asia

见证实时AI的无限可能

在Flink Forward,我们站在Data+AI的最前沿。这里不仅是技术的交汇点,更是实时AI从概念走向大规模生产级应用的关键舞台。您将亲眼见证,当Apache Flink®强大的流处理能力与AI Agent的自主决策能力深度融合,我们与全球开发者共同探索、定义并构建AI时代的无限可能。

Flink Forward Asia is organized by Alibaba Cloud.

主论坛议程

Flink Forward Asia 2026 主论坛精心策划,汇聚 Apache Flink 核心项目最新进展与头部企业最佳实践,其中包含:

时间

标题

讲师

9:30-9:40

开场致辞Opening

李飞飞  阿里云首席技术官、国际业务总裁

9:40-10:20

The Evolution of Apache Flink: Agentic Streaming for AI

王峰  阿里云智能集团研究员、阿里云开源大数据平台负责人、阿里巴巴开源委员会副主席

NVIDIA与阿里云加速 Apache Flink 多模态数据流处理

陈川  NVIDIA 互联网解决方案架构高级总监

10:20-10:40

AI Agent 的两朵云:流式与环境交互,自主从经验中学习

李博杰  AI独立研究者

10:40-11:00

Panel:Real-Time Data Powers the Future of AI

刘湘雯  阿里云智能集团副总裁、市场营销总裁

汪军华  阿里云智能集团副总裁、计算平台事业部负责人

朱熙文  安克创新软件总经理

李博杰  AI独立研究者

11:00-11:30

Apache Paimon 2.0:The Next-Gen Agentic Lake for AI

李劲松  阿里云开源湖仓管理平台负责人、PMC Chair of Apache Paimon

张子良  阿里巴巴高级数据架构专家

张静   快手数据平台引擎架构师

11:30-12:00

Apache Fluss 1.0:The Real-Time Context for AI Agents

伍翀  阿里云流存储Fluss负责人、PMC Member of Apache Flink

刘焓  小红书 Kafka & Fluss 负责人

王沛斌  淘宝闪购资深数据研发专家

Call for Presentations

Submissions accepted until  30th May 2025

Speaking at Flink Forward Singapore 2025 is a great way to connect with your peers, become involved in the streaming data community, and share your story of the future of streaming and real-time data. Talks should be informative, interesting, educational, and thought-provoking. If you’re talking about a product, then please do more than just pitch it.


Why Speak at Flink Forward? 


● Admiration and adulation of your peers
● Free admission to the conference days
● Receive special Speaker swag 
● Recognition on the Flink Forward website with your headshot and bio
● Social media recognition and assets
● Global Flink Community Exposure: Showcase your work to an international audience of Flink developers, data engineers, and industry leaders
● The talk will be recorded and made available afterward


Need more ideas?


Access on-demand recordings from Flink Forward Jakarta 2024 and Flink Forward Shanghai 2024.

 

 

70+位讲师共话 Agentic Streaming for AI

 

过去一年,AI 行业的讨论重心正在发生一次明显的迁移——从"谁的模型更强",转向"Agent 怎么在真实业务里跑起来"。当 Agent 开始承担多步推理、工具调用和跨系统协作时,大家发现真正卡脖子的往往不是模型能力,而是数据:数据在哪、格式对不对、够不够新鲜、能不能被 Agent 可靠地访问和操作,实时的数据层如何赋能Agent 应用在行业的规模化落地。

Apache Flink,全球流处理技术的引领者,正以一场从“云原生”到“AI原生”的范式跃迁,通过 Agentic Streaming 重新定义实时计算的边界。

大会开设11场分论坛,专题方向分为多模态与向量计算、AI Agent、平台AI实践、智能开发与运维、Agentic Lake、Real-time Analysis、Real-time Data Power Future AI(*议题每半小时一场,上午9:30开场,下午14:00开场)

来自阿里云、千问、淘宝闪购 、腾讯、字节跳动、小红书 、钛动、金山、深圳道旅、携程、滴滴、欢聚集团、理想汽车、货拉拉、LinkedIn、Shopee 、京东、哔哩哔哩、瓴羊等公司的70+位讲师与大家共话Agentic Streaming For AI

诚邀全球开发者、架构师及技术决策者莅临深圳,共赴这场实时数据与 AI 的思想盛宴!

全量议程请参考>>>

 

🎁 专属福利:

参会人人有礼,赠送FFA 专属周边;参与现场互动,更有机会赢取千问眼镜、FFA 定制礼盒、Flink 咖啡杯、定制 Polo 衫及洗漱包等精美礼品。

FFA2026_gift

 

 

往年演讲嘉宾

Junhua Wang Vice President and Head of Computing Platform Alibaba Cloud
Mike Gualtieri Vice President & Principal Analyst | Guest Speaker Forrester
View bio Close bio

Mike's research focuses on AI technologies, platforms, and practices that enable technology professionals to deliver applications that lead to prescient digital experiences and breakthrough operational efficiency. His key technology coverage areas are AI and emerging technologies that make software faster, smarter, and transformative for global enterprises and organizations. He advises business and technology leaders around the world on the intersection of business strategy, AI, and digital transformation. Mike has authored more than 130 research reports and is a recipient of the Forrester Courage Award for making bold calls that inspire Forrester clients to make great business and technology decisions.

He is a frequent and highly sought-after speaker at industry, corporate, and technology events for his audience-designed, insightful, and energetic speeches.

Mike provides technology vendors with actionable advisory sessions on technology buying trends, strategy advice, messaging, product roadmaps, and buyer personas for the areas he directly covers. He also offers “what-if” investment advisory for clients who wish to invest in or launch new products in the markets he covers.

Feng Wang Head of Open Data Platform, Alibaba Cloud, Apache Flink Committer ,Apache Paimon PMC Member Alibaba Cloud
Akash Goel Head of Data Engineering Goto
View bio Close bio
Head of Data Engineering at GoTo Group, where he leads the design and development of a modern data engineering platform supporting both real-time and batch processing for critical financial and payment use cases. His engineering philosophy emphasizes simplifying complex business challenges using cloud-native principles such as Infrastructure as Code (IaC), Data as a Service (DaaS), and event-driven architecture. He is a strong proponent of open-source technologies, working extensively with tools like Apache Flink, Kafka, Airflow, and more. He is also currently spearheading the cloud migration of GoTo’s data engineering platform, with a focus on building scalable, resilient, cost-efficient, and observable infrastructure.
Jingsong Li PMC Chair of Apache Paimon,PMC member of Apache Flink,Head of Alibaba Open-source Data Lake Platform team Alibaba Cloud
View bio Close bio

Head of Alibaba Cloud Data Lake Platform, responsible for the research and development of Apache Paimon & Apache Iceberg and its products, PMC Chair of Apache Paimon,PMC member of Apache Flink, Committer of Apache Iceberg.

Jingsong Lee have been engaged in distributed streaming computing, distributed batch computing, and lake storage, and currently focus on the technology of lakehouse.

Jark Wu Head of Fluss and Flink SQL, Alibaba Cloud, Apache Flink PMC Member Alibaba Cloud
Mayank Rai Sr Streaming Data Manager Goto
Raju GT Sr Software Engineer Goto
Boyuan Huang Senior Staff Product Manager Alibaba Cloud
Xintong Song Staff Software Engineer, Apache Flink PMC Member Alibaba Cloud
Perry Huang Product Lead of Realtime Compute for Apache Flink© Alibaba Cloud
Luo Li Director of Data Infra @ Shopee Shopee
Mayank Juneja Senior Product Manager Confluent
Daren Wong Software Engineer Amazon Web Services
Lincoln Lee Staff Engineer Alibaba Cloud
Hong Liang Teoh Senior Software Engineer, Apache Flink committer Confluent
Tushar Pednekar ASF PMC (multiple projects), Entrepreneur, Investor Synx Data Labs
Shuiqiang Chen Software engineer Tiktok
Leonard Xu staff software engineer Alibaba Cloud
Zhen Fan Staff Engineer Alibaba Cloud
Yan Zhang Staff Engineer Celerdata
Christine Xu Tech VP VeloDB
Jenny Chen Big data engineer Lalamove
Owen Ip Big data engineer Lalamove
Calvin Tran Senior Software Engineer Grab
Yuanzhe Liu Senior Software Engineer Grab
Venkata krishnan Sowrirajan Staff Software Engineer LinkedIn
Johnson Noel Senior Product Marketing Manager Ververica
Richard Chen EVP, Head of Supply Tech, Lazada Group Lazada Group
View bio Close bio
Richard leads the tech dept of Lazada seller systems and assortment operation, also acting as RedMart CTO. He has a rich experience in e-commerce supply chain, especially for product selection, pricing, inventory planning & management. His recent focus is applying SOTA AI technologies and real-time analytics to large-scale business scenarios based on HSAP/HTAP such as Flink+Hologres.
Danny Higgins Regional Product Solution Architect OceanBase
Yuan Mei Director of Engineering Alibaba Cloud
Sanil Jain Staff Software Engineer Linkedin
Karin Landers Sr. Product Marketing Manager Ververica
Kartikey Pant Senior Member of Technical Staff Salesforce
Lang Tee Long Senior DevOps Engineer Grab Holdings Inc.
Load more

Organized by

Alibaba Cloud Logo

 

Created by

Group 4330

钻石合作伙伴

关于 Flink Forward

Flink Forward 是由 Apache 官方授权的 Apache Flink 社区官方技术大会,通过参会不仅可以了解到 Flink 社区的最新动态和发展计划,还可以了解到国内外一线厂商围绕 Flink 生态的生产实践经验,是 Flink 开发者和使用者不可错过的盛会。在诸多合作伙伴的协助以及技术开发者的支持下,Flink Forward Asia 已成功举办 8 届,先后在北京、上海、新加坡、雅加达等城市举办,吸引数万名开发者参加。

关于 Apache Flink

Apache Flink® 是 Apache 软件基金会的顶级项目,是一款开源的分布式大数据实时处理框架,专为高吞吐量、低延迟的数据流处理而设计,在AI时代Apache Flink融合大模型能力,构建Data+AI基础设施,应用于AI Agent、实时RAG、实时数仓、实时推荐、实时分析、实时大屏、实时风控等场景,涉及行业包括大模型、汽车、具身、互联网、电商、在线教育、游戏、金融、制造业等行业,成为AI时代流计算的理想选择。