Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...
Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...
Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...
A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...
In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from ...
Transitive 2.0 adds ClickHouse, Grafana, and Alertmanager, offering advanced storage and monitoring to help scale growing ...
Agentic AI tools present the possibility of substantial efficiency gains for legal teams, but the risks they pose require ...
Google DeepMind and Boston Dynamics are bringing Gemini Robotics-ER 1.6 to Spot, adding embodied reasoning for inspections, ...
A large portion of the web still runs on PHP for backend processing and data management. In 2026, it remains a practical ...
Explore the best data analytics tools for enterprises in 2026 that harness AI and advanced analytics to improve data-driven decision-making. Uncover key features, pricing, and ideal use cases to boost ...
Zapier reports just-in-time learning involves acquiring specific knowledge exactly when needed, enhancing efficiency and ...
TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.
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