As organizations shift to agentic AI, the divide between transactional and warehouse data must disappear. To power AI agents that reason in real-time, you need a data platform that is modern, observable, sovereign, with governance built in. Join our live session to learn how EDB Postgres AI eliminates silos and simplifies your architecture across hybrid estates.
기업들이 에이전틱 AI(Agentic AI) 시대로 전환함에 따라, 트랜잭션 데이터와 데이터 웨어하우스 간의 경계는 허물어져야 합니다. 실시간으로 상황을 판단하고 추론하는 AI 에이전트를 원활하게 구동하기 위해서는 현대적이고 가시성이 확보되며, 데이터 주권과 강력한 거버넌스가 내장된 데이터 플랫폼이 필수적입니다.
The future belongs to platforms that can support both agentic AI and the data infrastructure behind it. Evolve your organization from traditional environments to agentic databases—modern data platforms that are AI native, observable, sovereign, and built to operate across hybrid estates.
Modernization in the AI Era: Observability Meets Hybrid Control
Enterprises today are trapped by leftover legacy systems and fragmented data silos that drain resources and stall AI innovation. Gartner predicts that as organizations pivot to meet these AI demands, 40% will adopt a hybrid computing paradigm by 2028.
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.
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.
