Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

Abstract: Printed circuit board (PCB) is a critical component in modern electronic products, and ensuring its high quality is essential for optimal device functioning. Unsupervised learning-based ...

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

Abstract: We present an overview of our work on inverse design of metamaterials and photonic crystals. In the past few years, we have developed neural networks that can provide new designs for ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...