Technology

Cloudera and Protegrity: Securing Your Open Data Lifecycle

Nov 18, 2025 By Cloudera, Inc. In Cloudera

Protegrity’s Jessica Hammond joins Cloudera to discuss their data-centric approach. Learn how the partnership secures unstructured data and LLMs, enabling frictionless, automated AI and analytics on the Cloudera platform. Learn how Cloudera and Protegrity secure your AI data.

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Oracle's AI momentum and why quality assurance matters more than ever

Nov 18, 2025 By John Lange In Tricentis

After attending Oracle AI World, one thing is clear: Oracle is all in on AI. From embedded agents across Fusion Applications to the AI-native Oracle Database and OCI’s massive model-training capabilities, Oracle is positioning itself as the platform where enterprise AI comes to life. The energy was infectious. Every session, demo, and conversation carried a sense of acceleration: faster decisions, faster workflows, faster innovation.

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The AI Hacks Coming in 2026 (And Why No One's Ready) #shorts

Nov 18, 2025 By Perforce In Perforce

Curious — Do you think companies are ready for the governance piece? Or are we about to learn the hard way?

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ADB Debugging: What It Is and How to Use It on Android

Nov 18, 2025 By Aleix Ventayol In Bugfender

Modern app users don’t tolerate glitches — speed and stability are non-negotiable. Debugging across multiple Android devices, however, can be tedious if done manually. That’s why developers rely on Android Debug Bridge (ADB) to streamline development. With ADB, we can: In this guide, we’ll cover what ADB is, how it works, installation steps, and the most useful commands for debugging Android applications.

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Building Bitrise's context-aware, browser-integrated AI copilot that keeps engineers in control

Nov 18, 2025 By Szabolcs Gelencser In Bitrise

‍ Note: This article is the second in this series. Check out the first one here: Why we ditched frontier AI agents and built our own.

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Build Modern AI-Ready Infrastructure Without Starting Over

Nov 18, 2025 By Hitachi Vantara In Hitachi Vantara

Modernization has reached a tipping point. For organizations running mission-critical workloads—including increasingly demanding AI-driven applications—the traditional approach often adds risk instead of reducing it. But does modernization have to mean costly investments, downtime, and uncertainty? Not anymore.

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Key Takeaways from Our AI Quality Discussion

Nov 18, 2025 By Hemraj Bedassee In Testlio

AI systems change faster than traditional QA models can react, which means quality risks now emerge in real time rather than at release.

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Introducing SmartBear AI Labs: Imagining the Future of Software Quality

Nov 18, 2025 By Maggie Bean In SmartBear

The SmartBear community is made up of curious, collaborative builders. They’re developers, testers, creators, and innovators who every day are experimenting with new technologies, customizing workflows, and solving complex problems.

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10 Smart Ways PIs Use Open Source Intelligence to Track Individuals

Nov 18, 2025 By SystemsDigest In SystemsDigest

Are you one of those people who believe that their internet presence fades when they press the delete button? That's cute. In the modern digital era, all posts, likes and comments leave a trail of evidence and a private detective knows how to trace it. With the assistance of Open Source Intelligence (OSINT), professional PIs sift through publicly available data, social media, and Internet habits to reveal the truths most individuals believe to be concealed. Starting with the tracking of unknown profiles to the connection of dots, OSINT has become the arsenal of a modern detective.

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Resume builders in the age of AI: How to future-proof your testing career

Nov 17, 2025 By Lizzie Stokes In Tricentis

Just a few years ago, AI’s effect on software development was debatable — would it be as transformative as everyone predicted? But its impact is undeniable. In a 2024 survey, a majority of developers reported using AI in development, a sharp increase from the year before. In a short period of time, developers adapted, integrating agentic AI into their daily operations to boost productivity. Quality assurance teams are not far behind.

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