By turning the terminal into a live, collaborative canvas, Anthropic is proving that the most valuable output of an AI coding ...

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 ...

Python’s lead narrows again, C holds the runner-up spot, C++ returns to third, and SQL climbs back above R in June’s top 10 rankings update. June’s TIOBE Index has the feel of a rematch month. The top ...

Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry workaround in a relatable way that acknowledges the pain points experienced ...

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 ...

When it comes to cloud storage, not all storage systems work the same way. Two of the most widely used storage architectures ...

Oracle expands its AI database security strategy with new data protection, patching, and cyber resilience tools to help ...

The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

Raj Ummadisetty and Ken Kurzweil share Netflix's architectural pivot to CloudStream, a repeatable capture, conversion, and ...

At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...

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 ...