AI is transforming our world, and none of it would be possible without data. Big data trains AI algorithms, while AI helps us unlock deeper insights from vast datasets. This synergy is driving innovation across industries and revolutionizing how businesses operate.
The Big Data & AI World conference in Madrid this October explores the potential of data and artificial intelligence and also addresses the challenges around understanding AI models, skill shortages, and data protection. We’ll be there with other industry thought leaders and tech experts to discuss what’s possible and how to leverage the opportunities in this new age of data and machine intelligence.
We believe Postgres is uniquely suited for AI, and that’s why we’ll be highlighting the AI capabilities we’re building directly into Postgres that make it easy for everyone to reap the benefits.
These capabilities include:
Advanced Analytics
In the race to gain a competitive edge, the ability to analyze data in real time has become a key differentiator. Real-time analytics allow organizations to quickly make informed and strategic decisions, respond to customer needs, and identify opportunities and threats as they happen.
EDB Postgres AI enables strategic analytics that deliver critical business insights, without the need for operationally expensive and slow data pipelines, and without overhauling your tech stack. You can drive modern Postgres lakehouse initiatives that derive new value from core business data and integrate data from both Postgres and external data sources, without the need to create additional data silos in external data lakes.
AI Integration
Integrating AI capabilities into existing applications and data infrastructure can be complex. Those looking to implement AI workloads often turn to specialized vector databases, but because vector databases typically operate separately from relational databases, they can create data silos that increase development time, introduce inconsistencies, and complicate data management, leading to latency issues and increased risk of errors.
Our unified AI and Postgres platform solves these issues, with machine learning algorithms and models running directly inside the PostgreSQL environment, so users can perform all machine learning tasks, such as training, testing, and deploying models, without transferring data out of the database or relying on specialized ML and AI skills.
Scalability
Businesses using AI have to be prepared for growing data volumes and diverse workloads. But storing data across multiple systems and platforms isn’t a viable solution, since AI systems often require immediate access to data.
For successful real-time analytics and AI workloads, scalable, robust, and versatile database solutions are needed and Postgres has emerged as a database of choice.
By combining Postgres’ advanced analytical features with pgvector data capabilities, organizations can implement machine learning models directly within their database, facilitating seamless storing and querying of growing data volumes and enabling a unified, data-driven approach to decision making.
Security
With ever-increasing cyber threats and growing data security and privacy regulations, safeguarding sensitive customer data is a priority for every organization. PostgreSQL’s flexible configuration and security features such as robust access controls, auditing capabilities and encryption options, align with various legal and regulatory standards and help protect information processed by AI applications within the Postgres environment.
Our EDB Postgres experts are available to provide additional support, and we also offer the EDB Trust Center, which is designed to help customers understand and mitigate potential risks.
Seamless Migration
The thought of migrating from a traditional system like Oracle to Postgres may be daunting, but it doesn’t have to be. We offer a number of solutions to help alleviate worries and reduce your workload, like our cloud-based EDB Data Migration Service that actively helps you migrate your data to Postgres, our Migration Toolkit, and the EDB Postgres AI Migration Portal to help you plan and execute your migration.
We’ve also hosted a number of webinars on navigating database migration, where we cover tips for addressing common challenges, reducing risk, lowering costs, and shortening the time it takes to migrate.
Meet us in Madrid at the Big Data & AI World Conference
Are you attending Big Data & AI World in Madrid on October 16-17? If so, we invite you to visit us at stand M76 to discover how EDB is transforming Postgres into a powerhouse for AI and big data workloads. You’ll have the opportunity to see first-hand how our AI integrations and advanced analytics are empowering organizations to turn data into actionable insights—without the complexities of managing disparate systems or creating data silos.
Our team of Postgres and AI experts will be on hand to answer questions, showcase live demos, and walk you through how our solutions are simplifying data management and driving innovation. Whether you’re looking to enhance your analytics, improve scalability, or explore the benefits of migrating to Postgres from legacy systems, we’re here to guide you.