The Missing Discipline in AI QA: Verifying "System Prompts," Not Just User Prompts
Most product teams today are very good at one thing: testing what happens when a user types a prompt. Hemraj Bedassee , Delivery Excellence Practitioner,
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Run Slurm Workloads Inside Kubernetes With ClearML
By Erez Schnaider, Technical Product Marketing Manager, ClearML Slurm has powered HPC environments for years. It is battle tested, widely adopted, and deeply embedded in research and engineering workflows. Over 60% of the TOP500 supercomputers use it to manage their large infrastructure, orchestrate workloads and schedule jobs, as it is powerful and versatile with over 20 years of engineering behind it.
Ably AI Transport: keep your agents connected and stateful across devices
Ably AI Transport is now in early access. It gives your AI the continuity, awareness, and multi-device reliability users actually expect. Drop it in, keep your existing stack, and start shipping Gen-2 AI right away.
How AI Will Shape QA Leadership in 2026
The meeting started with a question I wasn't expecting. "Dragan, if AI can write tests now, what exactly will your team be doing next year?" Q1 2025, six months before I founded Quantum Quality Engineering. The executive wasn't hostile, just genuinely curious. Behind that curiosity lurked a more complex question: Do we still need QA leaders in an AI-driven world?
Meet AI Highlights: Your Shortcut to the Insights That Matter
Your dashboard has several insights. But which ones to really focus on right now? Introducing AI Highlights—the most powerful way to analyze key metric changes. AI Highlights: This is Data to Decisions, Powered by Agents. Get the insights that matter most, instantly. See how easy automated insight discovery can be! Go beyond static, pre-defined views! Discover the future with Next Gen Liveboards in ThoughtSpot.
Multimodal AI Applications, Use cases and Everything Else you need to know
Forget everything you thought you knew about AI! Literally! Yes, we are not lying because a new era has already begun. A technology is emerging that doesn’t just compute… it perceives. It listens, observes, reads, and interprets the world with a blend of senses much closer to our own. It’s the age of multimodal AI, where intelligence is no longer limited to a single stream of data, but fuelled by the combined power of text, images, audio, and video.
Automate Pact Test Code Reviews with AI | SmartBear MCP Server
Discover how to perform expert-level Pact contract testing reviews in seconds using SmartBear MCP (Model Context Protocol) tools directly in your IDE with GitHub Copilot (or any generative AI that supports MCP)! You’ll learn how to automatically identify and fix common issues in your Pact tests, including: Over-specified test contracts Incorrect HTTP client usage Missing provider states Overuse of matchers Tests not reflecting real API behavior.
The New Rules of AI Search: How to Rank in ChatGPT, Perplexity & AI Search Engines (w/ Rick Kranz)
In this webinar, Rick Kranz from the AI Marketing Automation Lab, will teach you how to: Determine where your brand already appears in LLMs Show up in LLM answers Optimize content for AI visibility (free tool included) Track AI/LLM traffic in GA4 Monitor AI impact with Airtable + Databox Perfect for SEO specialists, Content teams, SaaS marketers, RevOps & Growth teams, Agency leaders, or anyone who relies on organic visibility.
Generate Full Pact Tests Automatically | SmartBear MCP Server
Did you know you can automatically generate complete Pact test suites directly inside your IDE? No more writing boilerplate test code manually! In this video, we show how SmartBear MCP tools work with GitHub Copilot (or any MCP-compatible agent) to automatically create best-practice consumer contract tests tailored to your project.
Unlocking Climate Action: The Power of Data, Collaboration, and AI
As the lead sustainability officer at Qlik, I've had the privilege of witnessing firsthand the collaborative spirit and escalating urgency driving climate action today. Events like Climate Week NYC, the C40 World Mayors Summit, and COP30, highlight a clear reality: commitments are essential, but implementation and accountability matter more — within private and public sectors alike. And at the heart of this transition lies a powerful trio: data, collaboration, and AI.