RAG talk is prevalent, yet simply stating “we used RAG” fails to provide much information about its effectiveness in a production environment. A more effective approach is to examine how you align ...

DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit ...

Cloud data warehouse Snowflake plans to spend $6 billion on Amazon’s custom Graviton CPUs and AI accelerators over the next five years. The collab aims to reduce friction in connecting Snowflake ...

OverviewData scientists use Codex to automate repetitive analytics workflows and reduce manual coding.Companies deploy Codex ...

Using AI chatbots for even just 10 minutes may have a shockingly negative impact on people’s ability to think and problem-solve, according to a new study from researchers at Carnegie Mellon, MIT, ...

Discover line charts, including how they provide clarity in financial analysis by connecting data points to monitor prices, ...

Enterprise AI teams running centralized orchestration stacks now have a new variable to account for: AWS Quick, which expanded this week to a desktop-native agent that builds a persistent personal ...

Chicago-based startup removes barrier between raw, unstructured data and the tools analysts already use, making every data source queryable without preparation. AI-native data science isn’t a chatbot ...

Not long ago, creating a solid presentation, a clean infographic, or a sharp data visualization meant you either knew your way around design software or you paid someone who did. That has changed, ...

Obsidian Note Taking reshapes how information is captured, connected, and rediscovered by turning simple Markdown files into a dynamic, interconnected system. Instead of isolating notes in folders, ...

I still remember the November when ChatGPT came out, and the exam period that followed. As a professor at Harvard, I had B+ writers submitting essays with em dashes and Oxford commas, as if they had ...