EDB’s Hands-On Training at PGConf.EU 2024
EDB is excited to take part in PostgreSQL Conference Europe 2024. We have more than a dozen EDB Postgres experts attending the conference and sharing their knowledge and insights. This open exchange of information is what defines the Postgres community.
Interested in exploring how AI applications can be effectively built and scaled with the help of advanced Postgres capabilities? You don’t want to miss our hands-on training session with EDB Machine Learning Engineer Bilge Ince and EDB Manager, Solutions Architects Boriss Mejias. The training session, Empowering AI Applications: Integrating Vector Databases with PostgreSQL, aims to help developers build new capabilities through problem-solving.
EDB is passionate about empowering developers and database architects to take their AI applications to the next level by integrating AI with PostgreSQL. Bilge and Boriss will present workshop attendees with a problem that can be solved using a vector representation of a given dataset with and without aidb extension. Our experts will share an overview of how to use the different search strategies and best practices for technical problem-solving. This hands-on approach gives conference attendees the chance to learn from concrete examples and not just theoretical problems. If you want to gain a deeper understanding of the critical role and diverse applications of vector data within PostgreSQL, this would be a great training session to attend.
EDB is proud to be building Potsgres for the AI generation. After all, AI presents a trillion-dollar opportunity, and there’s no AI without data. The market for AI products and services could reach between $780 billion and $990 billion by 2027. In order to take advantage of this massive opportunity, enterprises need the right tools to leverage their data effectively with AI.
Keep reading for a preview of Bilge and Borris’s training session.
Empowering AI with Postgres and AIDB
Discover how to integrate AI applications with PostgreSQL in our training session at PGConf.EU. This half-day session will focus specifically on using AIDB, EDB's vector database solution. The half-day workshop is structured to help participants grasp the practical applications of AI in a Postgres environment, from image classification to recommendation systems. What makes this session truly engaging is its hands-on approach; attendees will have the chance to work through real-world problems and implement AI solutions in real time. The aim is to start with a concrete problem, walk participants through its solution using AIDB and Postgres, and then provide the knowledge to abstract those concepts to other AI applications.
Unlike some theoretical workshops, this session is all about getting your hands dirty with actual code and problem-solving. Attendees will be provided with a pre-configured environment, complete with the necessary databases, extensions, and datasets required for the training. This setup ensures they can dive directly into the action, experimenting with the AI concepts being taught, rather than spending time configuring their own systems.
The training aims to show that working with AI in Postgres can be straightforward and approachable. AIDB makes implementing AI applications considerably easier than alternatives like PGVector, enabling participants to integrate AI capabilities without needing to build from scratch or handle complex data transformations. The live training will offer a glimpse into just how powerful, yet simple, this integration can be.
Solving Real-World Problems with AI in Postgres
From image classification to e-commerce recommendations, the training aims to go beyond teaching concepts in isolation. Boriss says the approach for this session will be akin to cooking: instead of simply listing ingredients (or individual concepts), the training focuses on making a complete dish—a lasagna, so to speak—where the step-by-step process of solving a real-world problem is the priority. Once participants grasp the process of solving one problem, they will be equipped with the knowledge to tackle other challenges using the same fundamental concepts.
This approach—starting from a problem, providing a clear solution, and then abstracting the process—enables participants to gain a deeper understanding of AI in Postgres. The skills and techniques learned can be applied across different domains, making this training valuable for participants in a wide range of industries.
Connect with EDB at PGConf.EU 2024 in Athens
As the pace of digital transformation accelerates, everyone from DBAs to business executives are looking to understand how these disruptions will reshape the technology sector, and the global economy as a whole. Bilge and Boriss’s training session, Empowering AI Applications: Integrating Vector Databases with PostgreSQL, is one of more than a dozen ways our EDB experts are sharing their knowledge and expertise at PGConf.EU this year. EDB VP, Chief Architect of Kubernetes Gabriele Bartolini and EDB Principal Engineer Leonardo Cecchi will lead a session, titled "Mastering PostgreSQL in Kubernetes with CloudNativePG," which is designed to empower PostgreSQL DBAs by bridging the gap between their domain expertise and the world of Kubernetes. Plus, EDB is proud to be a platinum sponsor at PGConf.EU 2024. Our EDB Postgres experts are exploring the horizons of Postgres in two informative and insightful sponsor talks this year, giving you a glimpse into the future of open source, and what we’re building with Postgres to support the workloads of the future. And we have more than a dozen EDB Postgres experts giving presentations on a variety of topics ranging from logical replication to PostgreSQL permissions, and incremental backup. Click here for a preview of all our PGConf.EU talks this year.
As the largest PostgreSQL event in Europe, PGConf.EU is more than just a gathering; it's a celebration of collaboration and knowledge-sharing within the open-source community. We’re excited to showcase our insights, connect with fellow PostgreSQL enthusiasts, and discuss how we can harness the power of PG17 for future workloads.