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Explore Curiosity's collection of webinars, podcasts, blogs and success stories, covering everything from visual modelling to artificial intelligence and test data management.
Deliver superior test data and overcome the challenges of complexity, legacy, scale, and regulation with Curiosity Software.
Join Huw Price, Chairman and Co-Founder of Curiosity Software, and Toby Richardson, Solutions Engineer, for an honest look at how AI is changing the way software gets built. This session covers where AI has gone well, where it hasn’t, and what happens when you connect your AI directly to requirement models, tests and governed test data through Curiosity’s MCP server.
Register today to see what a tester’s day looks like when your AI can find, build and provision everything just by asking.
Most teams are already using AI to write code, draft tests and generate data. The catch is that AI working on its own improvises, and improvised outputs rarely survive contact with real systems. Data that doesn’t match across applications, tests with no link back to requirements and results nobody can reproduce all fall apart the moment integration testing begins.
In this session, we show what changes when your AI sits on top of deterministic, validated and governed data, with the metadata to prove it.
Find, subset, mask and generate test data across connected systems without writing a single query.
Build test cases and data requirements from models through conversation, with full traceability back to every requirement.
Every output is built on governed, validated data, so results stay consistent and repeatable across environments.
Approvals, audit trails and compliance are built in, so speed never comes at the cost of control.
AI is breaking down the silos that have shaped software delivery for decades, and the roles inside those silos are changing with it. Yet most organisations are still bolting AI onto old processes and hoping for the best.
This session looks at what a properly connected approach looks like, covering:
How AI removes the handoffs between requirements, development, testing and data, and what that means for the people doing the work.
Why improvised AI outputs struggle in integration testing, and how MCP servers plug your AI framework straight into requirement models, tests and governed data.
Watch a tester ask a question and get the right data back from across connected systems, then turn requirements into test cases through conversation, using the top use cases from our MCP value framework across TDM and Quality Modeller.
A balanced look at where AI fits into your existing development and testing tools, and how to adapt without adding risk.
This webinar is designed for anyone shaping how software gets built and tested as AI changes the way teams work. It will be especially valuable for QA and test leads, test automation engineers, data engineers, engineering managers and IT leaders who want to adopt AI without losing control of quality.
Described as “The Godfather of test data”, Huw is a serial test data inventor, and has worked with the world’s largest organisations to transform their test data management. With Curiosity Software, Huw leads on crafting innovative solutions to drive test data and quality success for our enterprise customers.
Toby is a test data expert with over a decade of experience. He works with enterprise teams to design and deliver test data and modelling solutions across complex system landscapes. He’ll be running the live demo, showing exactly how Curiosity’s MCP server works inside a real testing workflow.
Get practical, honest insight into connecting AI to your requirements, tests and data, so your teams can move faster without the guesswork.
Register for Curiosity's upcoming live webinars, or watch past webinars on demand to learn about...
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