Construct a sophisticated document retrieval pipeline that dynamically injects client data into LLM context windows.
Many data pipelines were never designed for the scale and reliability modern AI workloads demand. To keep pace with change, organizations are moving toward autonomous data pipelines that can ...
Jörg Schad explains how to tame the complex "data management hairball" to build scalable, safe architectures for AI. He ...
YubiKey 5.8, released July 21, adds hardware-backed per-action authorization for AI agent workflows via CTAP 2.3 and a ...
Many IoT SaaS teams start talking about AI once they have enough devices in the field. In practice, the harder question comes earlier: is the platform’s data la ...
For developers working with databases, having the right tools can make or break a project. IntelliJ IDEA database tools stand ...
I build ontology-driven systems that get LLMs and knowledge graphs to make sense of messy enterprise data. Every AI project assumes the data underneath it is already aligned. It almost never is.
Irresistible force, meet immovable object. Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as Anthropic, OpenAI, and GitHub shift ...
Dun & Bradstreet has spent over 180 years building a comprehensive commercial database. Its Commercial Graph, covering 642 million businesses and their relationships, corporate hierarchies and risk ...
Devart is releasing dbForge 2026.1, a major update that brings a variety of new features and long-anticipated enhancements to the entire dbForge ecosystem. According to Devart, the update will cover ...
Oracle CorporationORCL recently announced the expansion of its partnership with Google Cloud, unveiling the Oracle AI Database Agent for Gemini Enterprise at Google Cloud Next 2026. The development ...
Prototyping is my favorite part of programming. I like building new stuff and getting things working. It’s no surprise, then, that I am a big fan of MongoDB and NoSQL in general. Don’t get me wrong: I ...