Using AI-driven test data to avoid software failures | Live on the 4th of June
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June 4th
4PM BSTStruggling with test data bottlenecks, compliance risks, or incomplete coverage?
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.
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:
Testers and developers spend countless hours searching for, waiting on, or manually creating test data, slowing down releases and increasing costs.
Many bugs remain unresolved because teams struggle to recreate the exact data conditions where defects occur. AI-driven synthetic data can change this.
Inconsistent or incomplete test data causes misalignment between teams, leading to delayed fixes and longer test cycles.
Inadequate test data leads to migration failures, compliance risks, and incomplete testing coverage. Identifying gaps before they cause issues is crucial.
The hardest bugs to fix are often the hardest to reproduce. Without accurate test data, debugging becomes a guessing game.
Outliers, fringe cases, and missing test scenarios can lead to undetected failures in production. Ensuring full test coverage is key.
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:
Use AI to instantly classify and analyse data, reducing manual effort and ensuring regulatory compliance.
Design and generate synthetic test data with precision and diversity using intuitive, model-driven approaches.
Ensure consistent, high-quality data across all systems and dependencies.
Identify missing or incomplete data that could impact testing, analytics, or compliance efforts.
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 is a brand and content marketing specialist with over five years of experience leading digital marketing strategies and campaigns. He has continuously crafted impactful marketing strategies, built engaging content, and delivered transformational results in demanding environments.
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.
Watch more webinars, or talk with an expert to learn how you can embed quality test data throughout your software delivery.
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