Jeremy Kelway, VP of Engineering for Analytics, Data, and AI at EDB – Interview Series
Jeremy (Jezz) Kelway, the Vice President of Engineering at EDB, is based in the Pacific Northwest, USA. He leads a team focused on delivering Postgres-based analytics and AI solutions. With his experience in Database-as-a-Service (DBaaS) management, operational leadership, and innovative technology delivery, Jezz has a strong background in driving advancements in emerging technologies.
EDB is a company that supports PostgreSQL to align with business priorities, enabling cloud-native application development, cost-effective migration from legacy databases, and flexible deployment across hybrid environments. With a growing talent pool and robust performance, EDB ensures security, reliability, and superior customer experiences for mission-critical applications.
Postgres is increasingly becoming the go-to database for building generative AI applications due to its robust architecture, native support for multiple data types, and extensibility by design. With nearly 75% of U.S. companies adopting AI, businesses require a foundational technology that allows them to access their data quickly and easily. Postgres fits the bill perfectly for enterprises looking to harness the value of their data for production-ready AI in a secure environment.
Retrieval-Augmented Generation (RAG) flows are gaining popularity as they enable access to information in ways that enhance the human experience by automating and filtering data output. RAG flows, when applied in the context of the ‘Intelligent Economy,’ accelerate and enhance informed decision-making with relevant data. The accuracy of the generated responses in a RAG application is dependent on the quality of the data used to train and augment the output.
Postgres does not have native vector capability, but with the pgvector extension, enterprises can store vector data alongside their existing data in Postgres. This simplifies the management and deployment of AI applications by reducing the need for separate data stores and complex data transfers.
EDB Postgres AI Pipelines extension simplifies data processing with automated pipelines for fetching data from Postgres or object storage, generating vector embeddings, and triggering updates to embeddings when source data changes. This ensures up-to-date data for query and retrieval without the need for manual maintenance.
Postgres, with EDB’s enhancements, provides the flexibility for multi-cloud and hybrid cloud environments, empowering AI-driven enterprises to manage their data with agility and control. By enabling data portability and a cloud-like experience on various infrastructures, EDB supports AI-driven enterprises in responding faster to complex data demands.
As AI becomes more embedded in enterprise systems, Postgres supports data governance, privacy, and security. Its advanced capabilities and EDB’s enhancements ensure adherence to enterprise-grade security, granular access controls, and observability—key for handling AI data responsibly. EDB’s Sovereign AI capabilities focus on bringing AI capability to the data, facilitating control over sensitive data for AI models.
In conclusion, Jeremy Kelway’s leadership at EDB, along with the innovative solutions offered by Postgres and EDB, are shaping the future of AI-driven enterprises by providing secure, flexible, and efficient data management solutions for AI workloads.