Why AI-powered test data matters
AI is redefining how test data is generated, provisioned, and governed. By generating compliant datasets and unifying fragmented data sources, AI-powered test data enables faster, safer, and smarter development. However, without clean, unified, high-quality data, initiatives in AI and ML projects stall before they even start.
In this webinar, you'll discover:
Why masking is dead and how AI-generated synthetic data enables faster, safer development
Traditional masking is slow, incomplete and risks exposing sensitive information. Synthetic data, generated by advanced AI models, creates realistic yet fully compliant test data on demand, accelerating delivery while eliminating privacy concerns.
How to unify fragmented systems into a trusted ecosystem of high-quality data
Break down silos and connect data across tools, teams and environments. With a unified view of your data assets, you’ll ensure AI and ML models are fuelled with clean, timely and trusted information, without the overhead of centralisation.
How real-world AI techniques simulate current behaviours and predict outcomes
Learn how cutting-edge generative models such as CTGAN, TVAE, Bayesian techniques allow you to test against predicted outcomes, simulate future scenarios, uncover risks earlier and build resilient, future-proof systems.
How to optimise complex application environments with AI-driven data modelling
Discover how AI can accelerate the design and generation of high-quality synthetic test data tailored to your systems. With model-driven approaches, you’ll ensure consistency, simplify test environments, and deliver trusted data at scale.
The impact of AI-powered test data
AI’s impact extends well beyond efficiency. By automatically extracting features from raw data and scaling with larger datasets, deep learning models bring new levels of scalability and accuracy to development. For development teams, this means shifting from time-consuming bug-hunting and test creation to automated systems that predict errors, review code and even generate new functionality.
You'll walk away with practical strategies to:
Cut time-to-market
By automating test data and development processes, you can replace slow manual work with AI-powered pipelines that accelerate every stage of software delivery.
Improve quality and accuracy
With continuous streams of trusted data ensure your teams and models are working with data that’s clean, consistent and always up-to-date.
Future-proof your AI and ML projects
Use a data-driven foundation to build the reliable pipelines and governance structures needed to support today’s AI and tomorrow’s breakthroughs.
Drive innovation
By moving beyond compliance-driven masking to intelligent test data, shift from simply “hiding data” to generating synthetic datasets that unlock advanced test data strategies.
Meet our speakers, AI testing experts:
Whether you’re an AI leader, data scientist, compliance officer, or enterprise architect, this webinar will show how to accelerate delivery with automated test data, improve quality with trusted data streams and future-proof AI projects.
Harry Burn - Head of Solution Engineering
Harry is a test data management and visual modelling specialist. Since 2020, Harry has worked with some of the largest global organisations across finance, banking, healthcare and manufacturing, helping them to solve complex data generation, compliance and quality challenges.
Toby Richardson - Solutions Engineer
Toby is a test data expert with over a decade of experience helping some of the world’s largest enterprises solve complex data challenges. He specialises in streamlining data delivery across the entire software development lifecycle, leveraging AI and model-driven approaches.
Your next step to better test data management
Watch more webinars, or talk with an expert to learn how you can embed quality test data throughout your software delivery.
Uncover smarter test data management
Streamline your data delivery with our AI-powered Enterprise Test Data® platform.
