The next bottleneck in AI-assisted development is test data

Independent Bloor Research analysis of why validation, not code generation, now sets the pace of software delivery

AI can generate code and test cases in minutes. But every change still needs the right compliant data before it can be trusted, and in most enterprises that data still depends on manual requests and human translation of test cases into data tasks.
 
In this InBrief, Bloor Senior Analyst Daniel Howard examines this shift and reviews how K2view Agentic TDM addresses it. The report earned a 2026 Bloor Gold Mutable Award.

Download the report to learn:

  • Why test data is becoming the new SDLC bottleneck

  • Why traditional TDM workflows can't keep pace with AI-generated code and tests

  • What an agentic approach to test data looks like in practice

  • Bloor's bottom line on whether it holds up 

Group 839894

Get the Gartner report

Your Privacy Choices

© Copyright 2026 K2VIEW

Privacy Policy

Security

Terms of Use

Cookie policy

Manage cookies

We use cookies to enhance your experience and to analyze site traffic as described in our Cookie Policy. By accepting, you consent to our use of cookies.

Always active

These cookies are essential for the site and services to function properly and cannot be disabled.

These cookies help us understand and improve the use and performance of our services and how visitors interact with the various areas and features on our site.

These cookies are used to deliver advertisements, to provide more personalized advertising to visitors, and to track the effectiveness of K2view’s advertising campaigns.

These cookies enable our services to provide enhanced functionality and personalization. If not enabled, some parts of our site may not work as intended or offer the full user experience.

K2view does not sell or share personal information. However, you still have the right to exercise your choice to opt out of the sale or sharing of your personal information at any time.

By switching the toggle to the left and clicking “Save,” you indicate that you do not want us to sell your personal information or share it for online targeted advertising.

You may update your preferences at any time using the toggle. Any change you make will override your previous selection.