A Curiosity Webinar

Using AI-driven test data to avoid software failures

Transforming software delivery with self-driving capabilities

Join Curiosity’s, Mantas Dvareckas and Harry Burn, to learn how AI-driven test data management can help you design, generate, and deliver the right data, on demand, and at scale.

The hidden challenges of test data management

Struggling with test data bottlenecks, compliance risks, or incomplete coverage?

Software failures often stem from missing or inadequate test data, making it difficult to recreate and fix defects. Test data management is a critical but time-consuming challenge, leading to inefficiencies, compliance risks, and costly delays.

Poor test data management leads to wasted time, inefficiencies, and major software failures. Here’s how:

Time wasted on TDM activities:

Testers and developers spend countless hours searching for, waiting on, or manually creating test data, slowing down releases and increasing costs.

Techniques for recreating bugs:

Many bugs remain unresolved because teams struggle to recreate the exact data conditions where defects occur. AI-driven synthetic data can change this.

Data & development challenges:

Inconsistent or incomplete test data causes misalignment between teams, leading to delayed fixes and longer test cycles.

Data migrations & coverage gaps:

Inadequate test data leads to migration failures, compliance risks, and incomplete testing coverage. Identifying gaps before they cause issues is crucial.

Recreating defect data in lower environments:

The hardest bugs to fix are often the hardest to reproduce. Without accurate test data, debugging becomes a guessing game.

Common bug types & missing data:

Outliers, fringe cases, and missing test scenarios can lead to undetected failures in production. Ensuring full test coverage is key.

AI-powered solutions for smarter test data management

What if AI could transform the way you handle test data? By embracing AI-driven test data solutions, organisations can eliminate inefficiencies, reduce compliance risks, and ensure accurate, comprehensive test coverage.

In this webinar, you’ll learn how to seamlessly deliver the right data, to the right teams, at the right time, across your entire enterprise.

You’ll see how to:

Compliant Data - Avoid Privacy Risks - Curiosity Software

Automate data

Use AI to instantly classify and analyse data, reducing manual effort and ensuring regulatory compliance.

Leverage data modelling

Design and generate synthetic test data with precision and diversity using intuitive, model-driven approaches.

Optimise complex testing environments

Ensure consistent, high-quality data across all systems and dependencies.

Overcome Complexity - Curiosity Software

Perform data gap analysis

Identify missing or incomplete data that could impact testing, analytics, or compliance efforts.

Meet our speakers: AI test data experts

Join Mantas and Harry to see how AI-driven test data can enhance data modelling, coverage, and compliance, helping teams unlock efficiency and avoid critical software failures.

Mantas Dvareckas - Digital Marketing Manager

Mantas is a digital marketing manager, with over 5 years of experience leading digital marketing strategies and campaigns within the test data and software delivery space. Mantas has a deep understanding of how having the right test data management tools can transform an enterprise's software delivery lifecycle.

Harry Burn - Solution Architect

Harry is a test data automation and visual modelling specialist with over 5 years of experience working with some of the largest organisations in finance and banking, helping them with data generation, compliance, and quality.

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.

Using AI-driven test data to avoid software failures

Transforming software delivery with self-driving capabilities