Databricks delivers a comprehensive ecosystem for building, managing, and scaling modern data workflows. Its Lakeflow framework unifies ingestion, transformation, orchestration, and AI integration, ...

Small changes, big wins.

In today's security landscape, some of the most dangerous vulnerabilities aren't flagged by automated scanners at all. These ...

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 ...

Accelerated use of AI in software development is rapidly altering the scope, skills, and strategies involved in securing code ...

It’s available for free on both Android and iOS, so there’s really no barrier to giving it a try. If you’re curious about ...

What's CODE SWITCH? It's the fearless conversations about race that you've been waiting for. Hosted by journalists of color, our podcast tackles the subject of race with empathy and humor. We explore ...

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the ...

Agentic AI tools present the possibility of substantial efficiency gains for legal teams, but the risks they pose require ...

In this Q&A, TechMentor speaker Mayuri Lahane outlines the habits, constraints and evaluation practices that can help teams turn AI experimentation into repeatable workflows.

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.