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In this joint ClickHouse & Flink meetup in Seoul, we explore powerful ways to integrate ClickHouse and Flink. Learn why organizations worldwide are adopting this combination to stream and process large-scale data efficiently, achieving low-latency, high-performance real-time analytics. 📍 Space Share Gangnam Center (3rd Floor, 499 Gangnam-daero, Seocho-gu, Seoul, South Korea) 225 meters from Sinnonhyeon Station Exit 2, about a 2–3 minute walk straight ahead. 356 meters from Nonhyeon Station Exit 4, about a 5-minute walk straight ahead. The entrance is next to Subway on the 1st floor. \#\# Agenda 6:30 PM: Registration, settle, dinner & networking 7:20 PM: Welcome remarks and introductions 7:25 PM: *Real-Time AI at Scale with Flink and ClickHouse* by Sungmin Han, Customer Success Technical Architect @ Confluent 7:55 PM: Talk (TBD) 8:20 PM: ClickHouse talk 9:00 PM: Networking 9:20 PM: Wrap-up 👉🏼 RSVP now to secure your spot! \*\*\* \#\# 🎤 Session Details: Real-Time AI at Scale with Flink and ClickHouse Learn how to leverage Apache Flink's native AI features to run AI agents directly inside your streams, building high-performance real-time AI agent pipelines. This session also covers executing low-latency machine learning workflows and sinking results into ClickHouse for instant operational analytics. Speaker: Sungmin Han, Customer Success Technical Architect @ Confluent Sungmin Han is a Technical Architect at Confluent specializing in real-time data streaming architectures. With a background as an ML Google Developer Expert (GDE) and MLOps engineer at Naver, he focuses on bridging real-time data streams with AI in production environments. \*\*\*\*\* Hello everyone! Join us for an in-person meetup in collaboration with the ClickHouse community on June 30th at 6:30 PM in Seoul! 📍 Venue: Space Share Gangnam Center (3rd Floor, 499 Gangnam-daero, Seocho-gu, Seoul, South Korea) 225 meters from Sinnonhyeon Station Exit 2, about a 2–3 minute walk straight ahead. 356 meters from Nonhyeon Station Exit 4, about a 5-minute walk straight ahead. The entrance is located next to Subway on the 1st floor. \*\*\* 🗓 Agenda * 6:30 PM: Registration, Settle, dinner & networking * 7:20 PM: Welcome remarks and introductions * 7:25 PM: Real-Time AI at Scale with Flink and ClickHouse by Sungmin Han, Customer Success Technical Architect @ Confluent * 7:55 PM: Talk - TBD * 8:20 PM: Talk by ClickHouse * 9:00 PM: Networking * 9:20 PM: Wrap-up \*\*\* 💡 Speaker: Sungmin Han, Customer Success Technical Architect @ Confluent Talk: Real-Time AI at Scale with Flink and ClickHouse Abstract: Learn how to build a high-performance real-time AI Agent pipeline by leveraging Apache Flink's native AI features to run the agent directly inside your streams. This session covers how to execute low-latency machine learning workflows and sink the results into ClickHouse for instant operational analytics. Bio: Sungmin is a Technical Architect at Confluent specializing in real-time data streaming architectures. Drawing from his background as an ML Google Developer Expert (GDE) and MLOps engineer at Naver, he focuses on bridging real-time data streams with AI in production environments.

In this joint ClickHouse & Flink meetup in Seoul, we explore powerful ways to integrate ClickHouse and Flink. Learn why organizations worldwide are adopting this combination to stream and process large-scale data efficiently, achieving low-latency, high-performance real-time analytics. 📍 Space Share Gangnam Center (3rd Floor, 499 Gangnam-daero, Seocho-gu, Seoul, South Korea) 225 meters from Sinnonhyeon Station Exit 2, about a 2–3 minute walk straight ahead. 356 meters from Nonhyeon Station Exit 4, about a 5-minute walk straight ahead. The entrance is next to Subway on the 1st floor. \#\# Agenda 6:30 PM: Registration, settle, dinner & networking 7:20 PM: Welcome remarks and introductions 7:25 PM: *Real-Time AI at Scale with Flink and ClickHouse* by Sungmin Han, Customer Success Technical Architect @ Confluent 7:55 PM: Talk (TBD) 8:20 PM: ClickHouse talk 9:00 PM: Networking 9:20 PM: Wrap-up 👉🏼 RSVP now to secure your spot! \*\*\* \#\# 🎤 Session Details: Real-Time AI at Scale with Flink and ClickHouse Learn how to leverage Apache Flink's native AI features to run AI agents directly inside your streams, building high-performance real-time AI agent pipelines. This session also covers executing low-latency machine learning workflows and sinking results into ClickHouse for instant operational analytics. Speaker: Sungmin Han, Customer Success Technical Architect @ Confluent Sungmin Han is a Technical Architect at Confluent specializing in real-time data streaming architectures. With a background as an ML Google Developer Expert (GDE) and MLOps engineer at Naver, he focuses on bridging real-time data streams with AI in production environments. \*\*\*\*\* Hello everyone! Join us for an in-person meetup in collaboration with the ClickHouse community on June 30th at 6:30 PM in Seoul! 📍 Venue: Space Share Gangnam Center (3rd Floor, 499 Gangnam-daero, Seocho-gu, Seoul, South Korea) 225 meters from Sinnonhyeon Station Exit 2, about a 2–3 minute walk straight ahead. 356 meters from Nonhyeon Station Exit 4, about a 5-minute walk straight ahead. The entrance is located next to Subway on the 1st floor. \*\*\* 🗓 Agenda * 6:30 PM: Registration, Settle, dinner & networking * 7:20 PM: Welcome remarks and introductions * 7:25 PM: Real-Time AI at Scale with Flink and ClickHouse by Sungmin Han, Customer Success Technical Architect @ Confluent * 7:55 PM: Talk - TBD * 8:20 PM: Talk by ClickHouse * 9:00 PM: Networking * 9:20 PM: Wrap-up \*\*\* 💡 Speaker: Sungmin Han, Customer Success Technical Architect @ Confluent Talk: Real-Time AI at Scale with Flink and ClickHouse Abstract: Learn how to build a high-performance real-time AI Agent pipeline by leveraging Apache Flink's native AI features to run the agent directly inside your streams. This session covers how to execute low-latency machine learning workflows and sink the results into ClickHouse for instant operational analytics. Bio: Sungmin is a Technical Architect at Confluent specializing in real-time data streaming architectures. Drawing from his background as an ML Google Developer Expert (GDE) and MLOps engineer at Naver, he focuses on bridging real-time data streams with AI in production environments.