AI in the Cloud: Harnessing Containers & Data at Scale
Meetup Date - 8th Nov'25 10AM to 3PM Where - Cloudera Bangalore Office.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Ep 49 | Designing an "AI-Anywhere" Culture with Teddra Burgess
AI is transforming not only the way we work, but what we value as work. Success in this new era won’t come from chasing efficiency alone, but from cultivating cultures where AI empowers people, strengthens purpose, and drives innovation with trust at the center. In this episode of The AI Forecast, Teddra Burgess, founder of Chasing Outcomes, joins host Paul Muller to explore how AI is reshaping not just work, but what we value about work. Teddra lays out a practical path to building an “AI-anywhere” culture: start with outcomes (not tools), empower every function (not just IT), and lead with trust, purpose, and adaptability.
AI Coding Meets Local Integration Testing: Cursor + Proxymock Workflow
Ever find yourself stuck between unit tests and a full staging environment?
Hitachi Vantara Launches Virtual Storage Platform One Block High End Storage to Power the Next Era of AI and Mission-Critical Workloads
VSP One Block High End delivers advanced data protection and cyber resilience, providing continuous availability and meeting the latest NIST-certified standards for security and authentication.
Introducing SmartBear AI Labs: Imagining the Future of Software Quality
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.
Key Takeaways from Our AI Quality Discussion
AI systems change faster than traditional QA models can react, which means quality risks now emerge in real time rather than at release.
Build Modern AI-Ready Infrastructure Without Starting Over
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.
Building Bitrise's context-aware, browser-integrated AI copilot that keeps engineers in control
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.
The AI Hacks Coming in 2026 (And Why No One's Ready) #shorts
Curious — Do you think companies are ready for the governance piece? Or are we about to learn the hard way?
Oracle's AI momentum and why quality assurance matters more than ever
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.