Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables ...
At Cypher 2026, Tiger Analytics executives explained why moving generative AI from a working prototype to production requires ...
Yes, you can create a Retrieval-Augmented Generation (RAG) solution driven by native functionality in the SQL Database Engine. You can use T-SQL to implement the necessary data retrieval and ...
When was the last time you asked someone at your workplace, 'Where does this code lead to?'A tool that delegates that ...
Build a Python tracker for the Nintendo Switch 2 games list: scrape, dedupe, alert on new releases, and export a shareable ...
The Databricks SQL MCP server lets agents run AI-generated SQL against your Unity Catalog tables to read and write data, with access governed by Unity Catalog permissions. Queries run asynchronously: ...
MirrorShip today announced the launch of MirrorShip Intelligence Platform (MIP), an enterprise AI data platform that connects high-performance analytics, business semantics, and data agents. Building ...
AI data preparation is the unglamorous half of working with data: cleaning, joining, and reshaping raw tables while an AI ...
My files are still a mess, but at least Claude knows where they are ...
Predictive AI Functions bring high-quality ML predictions — forecasting, anomaly detection, top drivers, and value/class ...
"Why did this month's Snowflake bill increase so much?" "BigQuery is supposed to be cheap, but one heavy query caused it to ...
When companies talk about the cost of artificial intelligence, the conversation almost always starts with models: which one to use, what it costs per million tokens, and whether a smaller model is ...