Gen AI cost optimization strategies that cut token usage by up to 90% through semantic caching, model distillation, and smart ...

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...

Dreamdata's Steffan Hedebrandt on why LinkedIn drives 30% of SQL pipeline, the 272-day buying journey and a 7.7x lift in ROI ...

Microsoft SQL Server has long been a cornerstone for data management across industries. With the release of SQL Server 2025, ...

Indianapolis IT Firm Offers SQL Server Management and Microsoft Data Stack Integration Indianapolis, United States - ...

I’ve spent the last several months writing about what I believe is the central problem in enterprise AI. Not the models. Not ...

According to @_avichawla on Twitter, QueryWeaver is now available on GitHub as an open-source toolkit for optimizing graph-augmented retrieval and natural language queries over knowledge graphs, ...

Abstract: This work addresses the problem of developing high-performance relational databases through the use of large language models. Language model selection strategies for query optimization tasks ...

Existing index tuners typically rely on the “what if” API provided by the query optimizer to estimate the execution cost of a query on top of an index configuration. Such cost estimates can be ...

Query groups uses AI to cluster similar search queries. The new card shows total clicks per group and highlights groups trending up or down. Query groups will roll out over the coming weeks to high ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...