📅 時間 / Time
10/15 (二) 晚上 19:30 - 21:30 (視活動狀況有可能提早或延後結束 May end earlier or later depending on the event's progress)
📍 地點 / Location:
台北市大安區信義路四段279號6樓 (SW6 找場地)
6F, No. 279, Section 4, Xinyi Road, Da'an District, Taipei City (SW6 venue)
📝 主題 / Topic:
Building Real-time Next Generation AI Applications with Kafka and Flink
ℹ️ 摘要 / Summary:
在這場活動中，我們將探討如何利用 Kafka 和 Flink 構建下一代實時 AI 應用程序。Jeffrey Lam 將分享他在這個領域的專業知識，並討論如何在人工智能蓬勃發展的時代中，持續豐富可信的數據流以快速構建、部署、保護和擴展實時 AI 應用程序。
In this event, we will explore how to build next-generation real-time AI applications using Kafka and Flink. Jeffrey Lam will share his expertise in this field and discuss how to continuously enrich trustworthy data streams to quickly build, deploy, secure, and scale real-time AI applications in the era of booming artificial intelligence.
🌟 聽眾預期收獲 / Expected Audience Takeaways:
參加者將深入了解如何利用 Kafka 和 Flink 作為處理實時和批量數據的基礎。您將學習到這些技術如何成為公司的核心競爭優勢，以及它們在商業和開源社區中的廣泛應用。此外，您還將獲得關於構建可擴展、安全的實時 AI 應用程序的寶貴見解。
Participants will gain a deep understanding of how to use Kafka and Flink as a foundation for processing real-time and batch data. You will learn how these technologies can become a core competitive advantage for companies and their wide adoption in both commercial and open-source communities. Additionally, you will gain valuable insights into building scalable and secure real-time AI applications.
👥 適合參加者 / Suitable for：
- 工程師 / Engineers
- 開發人員 / Developers
- 對 AI 應用感興趣的技術專業人士 / Technical professionals interested in AI applications
🧑🏫 講者介紹 / Speaker Introduction
Jeffrey Lam 是 Confluent 的高級解決方案工程師。他是大數據專家，擁有超過 20 年的預售和企業架構經驗，曾在全球技術領導公司如 Confluent、Splunk、ServiceNow、IBM 和 Oracle 工作。
Jeffrey Lam is a Staff Solutions Engineer at Confluent. He is a big data specialist with over 20 years of experience in pre-sales and enterprise architecture, having worked for global technology leaders such as Confluent, Splunk, ServiceNow, IBM, and Oracle.
