Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...

New feature helps B2B marketers audit AEO readiness, identify intent gaps, and optimize pages for AI-driven search ...

Platform helps cybersecurity GTM teams capture AI-driven buyer demand as 40% of security decision-makers shift from ...

For enterprises deploying AI applications with similar read-heavy workloads and unpredictable traffic spikes, OpenAI's ...

Speed up Power Query from SharePoint by swapping SharePoint.Files for SharePoint.Contents, cutting refresh from 44.6s to ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our ...

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

Search is changing faster than ever – and 2026 may be the year it fully breaks from the past. Over the last year, AI has reshaped how people discover, decide, and convert, collapsing the traditional ...

Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied to database ...

Leverage Shopify Plus’s native architecture to build faster, more maintainable stores with Online Store 2.0, Liquid templating, and modular section schemas. Implement performance-first development ...

Description: The codebase lacks systematic use of select_related() and prefetch_related() for database query optimization. While I found one instance in the Routine.date_sequence method with proper ...