by TruEra | Aug 10, 2023 | Uncategorized
Achieving high AI Quality requires the right combination of people, processes, and tools. In the last blog post, we introduced the processes and tools for driving AI Quality in the early stages of model development – data quality assessment, feature development, and...
by TruEra | Jul 11, 2023 | Uncategorized
Achieving high AI Quality requires the right combination of people, processes, and tools. In the post, “What is AI Quality?” we defined what AI Quality is and how it is key to solving critical challenges facing AI today. That is, AI Quality is the set...
by TruEra | May 23, 2023 | Uncategorized
This post was co-written with David Kurokawa. In our previous post, we made a case for why explainability is a crucial element to ensuring the quality of your AI/ML model. We also introduced a taxonomy of explanation methods to help compare and contrast different...
by TruEra | Apr 27, 2023 | Uncategorized
How do you ensure your model is fair from start to finish? Co-authored by Russell Holz. In the first blog post of this series, we discussed three key points to creating a comprehensive fairness workflow for ensuring fairness for machine learning model outcomes. They...
by TruEra | Mar 30, 2023 | Uncategorized
Overview Generating business value is key for data scientists, but doing so often requires crossing a treacherous chasm with 90% of models never reaching production (and likely even fewer providing real value to the business). The problem of overfitting is a critical...
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