Webinars

Webinars

Upcoming Webinars

[EDB 웨비나] AI와 Vector 개요 및 RAG 활용 방안

(KST)
최근 기업용 AI 도입이 가속화되면서, 데이터를 어떻게 효율적으로 관리하고 AI 모델과 결합할 것인지가 비즈니스의 핵심 과제가 되었습니다. 이에 EDB는 오픈소스 기반 Postgres의 강력한 성능을 AI 환경에 최적화하여 활용할 수 있는 3부작 웨비나 시리즈를 준비했습니다. 단순한 이론을 넘어 실무 데모와 하이브리드 관리 전략까지, EDB가 제시하는 AI 데이터 인프라의 미래를 직접 확인해 보시기 바랍니다.

On-demand

Reliable Analytics at Scale with WarehousePG

WarehousePG—the sovereign data warehouse built on EDB Postgres® AI (EDB PG AI)—is designed to break this bottleneck. By leveraging Massively Parallel Processing (MPP) architecture, WarehousePG provides a stable, petabyte-scale analytical database that thrives under high concurrency.

PostgreSQL vs. MySQL: Choosing the Right Foundation

The webinar discussed the current state and future prospects of MySQL and Postgres databases, emphasizing the advantages of Postgres for modern data platform needs. MySQL, once a leading database for web applications, has seen a decline in investment and innovation, particularly after Oracle's acquisition, leading to reduced community contributions and fewer resources. In contrast, Postgres has grown significantly, supported by a vibrant open-source community and substantial investments from EDB.

EDB Postgres AI Factory: Learn How to Operate GenAI and Agentic Data Workloads

The demand for rapid innovation clashes with the need for data sovereignty, security, and efficiency. Stop struggling with complex, time-consuming integrations that sacrifice control and governance.

Build with EDB Postgres® AI: Part 5: Working with Time-Series Data in Postgres

Unlock advanced time-series analytics in PostgreSQL using the Bluefin extension. Learn how to analyze financial transactions, IoT data, and seasonal trends efficiently within Postgres—ideal for AI-driven forecasting, anomaly detection, and predictive analytics.

Build with EDB Postgres® AI: Part 4: Agentic Analytics with AI Agents

See how to develop AI agents for analytics. Learn how PostgreSQL can fuel data-driven conversation, enabling teams to interact with business data and automate decision-making opportunities.

Build with EDB Postgres® AI: Part 3: Multimodal Search Across Diverse Data

Learn how to create a search engine that queries structured, unstructured, and image data using EDB Postgres AI Factory’s AI Pipelines. Combine relational power with AI Pipelines to detect fraud, match content, and surface insights faster.