Systems | Development | Analytics | API | Testing

Qlik 2026 Trends - Powering the Future of AI

Somehow, another year has passed and we’re back again to deliver our Trends Outlook for 2026. As Qlik’s first milestone of the year, it’s a busy but exciting time that hugely energizes me after the holiday break. We weren’t short of inspiration. The world has given us a far from a blank canvas on which to illustrate our Trends and in particular, conversations around AI have firmly evolved from future-gazing to wrestling with the formula for harnessing its power.

Let Your LLM Debug Using Production Recordings

Modern LLM coding agents are great at reading code, but they still make assumptions. When something breaks in production, those assumptions can slow you down—especially when the real issue lives in live traffic, API responses, or database behavior. In this post, I’ll walk through how to connect an MCP server to your LLM coding assistant so it can pull real production data on demand, validate its assumptions, and help you debug faster.

Securing LLMs: Insights into OWASP Top 10 | Maryia Tuleika | TTTribeCast Webinar

AI can feel like a black box, but when it is tested like any other system, unexpected weaknesses begin to surface. This session explores how large language models can be pushed into unsafe or unintended behavior, revealing that AI is not immune to flaws, poor decisions, or broken assumptions.

Implementing AI in the Playwright Framework | Muralidharan R. | TTTribeCast Webinar

Implementing the Playwright Framework with AI explores how to enhance test automation by integrating AI capabilities. This approach minimises code writings, eliminates traditional locator strategies, and ensures low test maintenance. The session will demonstrate how AI-driven solutions can simplify and optimise test automation, making it more efficient and scalable.

AI Virtual Health Assistants: The Future of Remote Patient Monitoring

‍ The healthcare industry stands at the precipice of a revolution, shifting away from reactive, hospital-centric care towards proactive, personalised, and remote management. At the heart of this transformation is Remote Patient Monitoring (RPM), a system that uses connected digital health technologies to gather and transmit patient physiological data outside of traditional clinical settings. While RPM offers tremendous value, it generates a massive, continuous stream of data.

Revolutionizing Web Testing with Playwright & Gen AI | Vignesh Srinivasa Raghavan

Discover the groundbreaking convergence of Playwright and Generative AI that's transforming how web testing is approached. This session unveils a revolutionary capability where AI assists in automatically generating test scripts without requiring manual coding. Experience how this intelligent automation system can analyze your application, understand user flows, and create comprehensive test suites with minimal human intervention.

The evolution of realtime AI: The transport layer needed for stateful, steerable AI UX

When we launched Ably in 2016, we set out to solve a fundamental problem: delivering reliable, low-latency real-time experiences at scale. So we set out to build a globally distributed system that didn't force developers to choose between latency, integrity, and reliability – trade-offs that had defined the realtime infrastructure space for years.

Panel Discussion - QA Leadership in the Age of AI: Talent, Strategy, and Choices | Testflix 2025

The rise of AI is transforming how software is developed and tested—but the hardest questions for QA leaders aren’t about tools. They’re about people, productivity, and long-term strategy. As organizations race to integrate AI, leaders must rethink how they hire, train, and guide teams while making tough decisions about whether to build custom solutions, buy off-the-shelf platforms, or take a more measured approach. This panel brings together leaders who are navigating these crossroads in real time.

8 AI Testing Tools Used for Test Generation, Analysis, and Maintenance

I still remember when our CI/CD pipeline crashed at 3 AM because one tiny UI element moved two pixels and every automated test failed. That single night proved how fragile traditional testing and script-based automation really are. AI-powered testing tools changed everything for our team almost overnight. They brought AI test automation, self-healing tests, and intelligent test generation that actually adapted instead of breaking.