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.
Learn more about insights into EDB's product strategy and priorities in 2022. Marc Linster, CTO at EDB will share what we've been working on and what we are working on now. He will also provide a view into future deliverables.
In this version of EDB Masterclass, we’ll talk about The story of Amul- a business that started India’s white revolution and made India the world’s biggest maker of milk and milk products. We invite you to the 4th part of EDB Masterclass where we’ll be joined by Mr. Jagjit Punjrath, OSD at Amul and Mr. Ajit Gadge, CTO, APJ at EDB.
Avoid Postgres Distress Part 2 - Support Solutions
In Support Solutions, the 2nd part of our Postgres Distress series, our Postgres experts will walk you through the various support options available to both experienced and emerging Postgres users. Whether you want to work exclusively with open source Postgres or an EDB backed solution, there is a solution that fits your needs.
Avoid Postgres Distress will cover some of the most common pitfalls emerging Postgres users experience when they decide to implement this open source technology without a trusted support partner. Join our EDB experts for part 1 of a 2 part webinar series to better understand the risk of going it alone with Postgres.
If DataOps is not DevOps Plus Data, What Is It, Exactly?
DataOps, commonly thought to be DevOps plus Data, is gaining popularity. However, DataOps is actually the application of DevOps practices, principles and processes to data analytics pipelines. Properly applied, DataOps can improve data quality, decrease data analytics cycles, automate data cleansing and testing, and result in better decision making for the business. Join Doug Ortiz to learn how DataOps can be leveraged to increase the value realized from your data.
