TruEra brings automated AI testing to dev workflows for accelerated model deployment

by | Oct 25, 2022 | Technology

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The ability to enable responsible artificial intelligence (AI) with models that help to mitigate bias and work reliably in a consistent manner, is no easy task.

Responsible AI involves both testing and providing AI explainability. Among the vendors that provide testing tools for AI is TruEra, which recently joined the Intel disruptor program to help advance explainable AI. Up to now, organizations have faced a challenge with tools like TruEra’s. More often than not, testing has been a point-in-time exercise rather than a continuous, automated approach.

Continuous testing has been accomplished in the software and devops with continuous integration/continuous deployment (CI/CD) pipelines. But that approach has mostly not been available for AI and machine learning (ML) workloads.

“If you find a bug, how do you test, debug and identify the problem and then write a test so that the bug never comes back?” Will Uppington, cofounder and CEO of TruEra, told VentureBeat. “Machine learning developers do not have those tools today, they don’t have systematic ways of evaluating and testing their models and then systemically debugging those models.”

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To that end, TruEra today announced the release of the 2.0 version of its diagnostics platform, TruEra Diagnostics, providing data scientists with an automated test that integrates continuous testing into the AI/ML development workflow.

What an automated test harness brings to ML development

The common development workflow for data scientists is to use a Jupyter notebook to build out models.

Uppington explained that TruEra Diagnostics 2.0 can fit directly into notebooks. By adding …

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