Systems | Development | Analytics | API | Testing

Before Building AI we should First Understand Natural Intelligence | Andrew Brown | Testflix 2025

Before building artificial intelligence, it’s worth asking whether we truly understand natural intelligence. Just as early pioneers of flight studied the principles of aerodynamics and observed how birds fly, this session argues that progress in AI requires a deeper understanding of human intelligence and the knowledge that already exists across related disciplines.

How does Katalon support the testing lifecycle?

Katalon supports the full testing lifecycle by using Studio to create tests, TrueTest to generate additional user-based tests, and TestOps to manage everything: from organizing, planning, and executing tests to analyzing results and tracking defects. Together, they ensure tests scale across teams and projects. — Alex Martins, VP of Strategy at Katalon Follow Katalon for more insights in our series!

What Does Extensible Mean? A Complete Guide With Examples And Use Cases

Extensibility is conceptually found in the areas of technology (such as Software Development) and System Design. The term extensibility may seem abstract to someone with no previous background in the field; in particular, when you hear phrases like: “Extensible Software”, “Extensible Architecture”, “Extensible API” or “Extensible Testing Tools”, it could be difficult to understand exactly how these would apply in day-to-day experiences.

Revolutionising Test Automation with Katalon TrueTest | AI-Powered Intelligent Testing

Welcome to a new era of intelligent test automation with Katalon TrueTest — a revolutionary AI-powered solution that bridges the gap between manual and automated testing. In this detailed end-to-end walkthrough, Mahtab Siddique, Senior Solutions Architect at Katalon, showcases how TrueTest uses AI and real user behaviour to generate, maintain, and optimise automation tests automatically.

Best Test Management Tools for Agile QA Teams

Evaluate your team's integration requirements and testing methodology before selecting a platform, as switching costs increase significantly after adoption. Agile development moves fast. Sprints are short, requirements shift mid-cycle, and QA teams often find themselves scrambling to keep pace with developers pushing code multiple times per day. Traditional spreadsheet-based testing approaches simply cannot keep up with this velocity.

From Copilot to Co-Tester: Guardrails for AI-Written Tests | Dimpy Adhikary | Testflix 2025 |

Generative AI can produce tests instantly, but speed alone does not guarantee quality or safety. Without proper validation, AI-written tests can become brittle, redundant, or misleading, creating a false sense of coverage. This session looks at the risks of relying on AI-generated tests without the right controls in place.

Confluent Connect: FY'25 Launch Highlights - Unlocking Data & Powering AI Pipelines

Dive into the biggest breakthroughs for the Confluent Connect ecosystem in 2025! This year, we made moving data easier than ever, from modernizing legacy systems with the Oracle XStream CDC Premium Connector to empowering developers with Custom SMTs and Custom Connectors on Google Cloud. Discover the over 10 new connectors we launched, including Snowflake Source, Azure Cosmos DB v2, and Neo4j Sink, plus the release of Confluent Hub 2.0. Learn how Confluent Cloud connectors are breaking down silos and building bridges for your next-gen AI and data modernization projects.

Ep 54 | Why Data Needs a Digital Birth Certificate with Anu Jain

In this episode of The AI Forecast, Anu Jain, founder and CEO of Nexus Cognitive, joins host Paul Muller to introduce a transformative idea: AI doesn’t have a last mile problem. It has a first mile problem. While AI models and algorithms can scale instantly through the cloud, their success still depends on the quality, provenance, and readiness of the data that feeds them.

Top 10 Open Source Automation Tools For Modern Software Testing

Modern software development is continuously operating in a high-paced environment with high-pressure expectations to produce quality applications. To meet this expectation, open source automation tools help provide a faster, smoother testing process for today’s applications by providing a single tool to test all layers, including web, mobile, API, and performance.