Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

See how long-tail Google Search Console queries reveal AI-style prompts, plus a regex trick and ways to turn raw data into tracking insights.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Discover how quantitative analysts, or quants, use advanced mathematical models to predict market trends and identify lucrative investment opportunities.

AI is reshaping online search in ways that reduce friction for consumers while increasing it for businesses. Large language ...

You can avoid Google's AI summaries in your search results by simply adjusting your query. Or just switch search engines altogether.

February 2026 TIOBE Index shows Python still far ahead, C strengthening in second, C# rising, and R holding the top 10 as ...