"It's imperative in moments of rapid change to follow the patterns of the leaders looking to forge success, not the majority who are still working in the patterns of the recent past. Those committing to open source and a mission-critical focus on sovereignty over their AI and data are plotting a pathway to agentic success that achieves 5x the ROI of the majority."
"AI applications cannot run on vector embeddings alone; they require a deep synthesis of structured, semi-structured, and unstructured data. Unlike many legacy databases that bolt on new features as afterthoughts, Postgres was natively architected for core extensibility. It empowers developers to extend data types, indexes, query planners, functions, and storage engines dynamically."
The AI economy is projected to reach $17 trillion by 2028, prompting 95% of major enterprises to become their own AI and data platforms within two years. Only 13% have succeeded by abandoning fragmented legacy architectures and placing data alongside AI securely and compliantly. Successful enterprises navigate the volatile, uncertain, complex, and ambiguous environment through agility and resilience. Open source relational databases form the foundational layer, with 81% of leading enterprises committed to open source strategies and over 40% standardizing on PostgreSQL. AI applications require synthesis of structured, semi-structured, and unstructured data. PostgreSQL's native extensibility allows developers to dynamically extend data types, indexes, query planners, functions, and storage engines, enabling unified data management for agentic AI success.
Read at InfoWorld
Unable to calculate read time
Collection
[
|
...
]