For the artificial intelligence (AI) engineering, 95% of the time and effort is consumed by data related workloads. In order to tackle this challenge, tech giants spend thousands of hours on building ...

Abstract: As organizations increasingly rely on collaborative relational analytics over private databases, secure multi-party computation (MPC) has emerged as a key solution to process private data.

Today EnterpriseDB (EDB), the leading sovereign data and AI company, announced new agentic database and converged analytics capabilities for EDB Postgres® AI (EDB PG AI). The offerings bring ...

Stonebraker essentially abandoned Postgres in the mid-1990s. But instead of fading into obscurity, the codebase was salvaged by a fiercely-dedicated volunteer community that bolted on standard SQL ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

I’ve spent the last several months writing about what I believe is the central problem in enterprise AI. Not the models. Not ...

Why was Tortoise ORM built? Tortoise ORM was built to provide a lightweight, async-native Object-Relational Mapper for Python with a familiar Django-like API. Tortoise ORM performs well when compared ...

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The reason enterprise AI remains stubbornly artisanal is not because models are too weak. It is not because context windows are too short, or agents need better prompts, or companies are resisting ...

Model Context Protocol (MCP) has gained considerable momentum as a standard connector between LLM-powered tools and local systems, internal and external APIs, and data sources. From major clouds to ...