Why AI model monitoring and AI governance?
We believe that Ethical AI is not just best practice but a competitive advantage.
We believe that Ethical AI is not just best practice but a competitive advantage.
We are committed to developing and deploying machine learning models that are ethical, transparent, and effective.
MLOPSOur approach to MLOPS incorporates the latest best practices for model monitoring, explainability, stability and bias, as well as the human expertise and intuition that is essential for ensuring that our models are meeting the needs of our customers.
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Data preparationOur data preparation process involves careful call listening and tagging, identifying key behaviours and sentiment analysis to create a robust data set for training our machine learning models. We also use statistical sampling to onboard new clients, ensuring that our generic models are well-suited to the unique needs and characteristics of each customer.
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ONGoing supportThroughout the model development and deployment process, we prioritise explainability, stability and bias monitoring, using advanced BI tools to provide our customers with transparency into our data and model-building processes. This allows our customers and partners to understand how our models are making predictions and to identify any potential issues related to fairness, accuracy or privacy.
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