We’re getting ready for the largest and most influential annual Data and AI event in the Nordics and beyond: The Data Innovation Summit in Stockholm. High availability and scalability data platforms are now table stakes to doing business in the era of AI. EDB is proud to be part of the vibrant open source community and we are dedicated to sharing our Postgres knowledge and expertise at events around the world. In this blog, we’re giving you a preview of key insights we're sharing at the summit. Keep reading for three things every IT leader needs to know in order to successfully operationalize the next-generation data stack.
- The new data landscape. Big data and AI have radically changed the data landscape, now with an endless amount of data to store, process, and action. As the data landscape evolves, challenges like integrating distributed systems, analytics and AI capabilities are becoming increasingly more difficult to manage. Known for its adaptability and robustness, open source database Postgres has been the choice for enterprises across industries. Postgres helps customers take control of their vast abundance of data and leverage its full potential with distributed architectures and integration with analytics and AI tools. EDB is building the new data stack that today’s landscape demands, with the latest evolution of Postgres for intelligent applications at the forefront.
- The demand for zero downtime. Customer expectations are clear: downtime is unacceptable. Businesses must have multiple systems in place to manage planned and unplanned outages and prevent costly disruption for customers. Active-active architecture can enable companies with even the highest amounts of data to process and action quickly to generate up to 99.999% uptime. When multiple systems are simultaneously active and capable of processing requests and handling traffic, businesses can achieve true high availability, securing their customers’ trust with reliable experience.
- The next generation of vector search. Vector databases offer a powerful solution for efficiently storing, querying, and analyzing high-dimensional data. Now developers can extend Postgres into a vector database with PGVector. This PostgreSQL extension enhances vector similarity searches and optimizes similarity search applications all within the same Postgres environment developers know and love. PGVectors can help companies improve their user experience by enhancing recommendation algorithms by identifying similar items or content quickly. With its ability to support Natural Language Processing (NLP) tasks by efficiently processing high-dimensional vectors, pgvector can add tremendous value to virtual assistants, chatbots, and more.
Learn more about these emerging trends and how Postgres can help your innovation strategy at the Data Innovation Summit in Stockholm on April 24-25. EDB Postgres experts will share cutting-edge insights, demos and real-world applications to help companies usher in a new wave of innovation. We’ll see you there.
EDB at The Data and Innovation Summit
24th April
14:10: “New frontiers for Postgres, the most loved, most wanted, and most used database” with Marc Linster, Technical Fellow and former CTO, EDB, M9 stage
15:40 “Always On Postgres with High Availability & Scalability” with Andrew Mumford, Senior Solutions Consultant, EDB, Booth C66
25th April
10:15 “Using Kubernetes for Cloud Deployment at Scale” with Andrew Mumford, Senior Solutions Consultant, EDB, Booth C66