We recently announced our latest innovation to our intelligent monitoring platform - Mona’s new AI fairness feature. This feature assists with eliminating bias with AI-driven applications, increasing trust in your machine learning models in production to ensure compliance readiness.
Posts about AIMonitoring (3):
In recent years, the topic of AI democratization has gained a lot of attention. But what does it really mean, and why is it important? And most importantly, how can we make sure that the democratization of AI is safe and responsible? In this blog post, we'll explore the concept of AI democratization, how it has evolved, and why it's crucial to closely monitor and manage its use to ensure that it is safe and responsible.
We are pleased to showcase our new interactive demo environment, which allows you to explore Mona’s ML monitoring dashboard and capabilities, free of charge and with 0 work! Mona’s mission has always been to make AI reliable and impactful, and we’re very excited to show data science teams the true value that Mona can bring to their day to day activities. We have built this interactive demo understanding that there are users out there that would prefer to try our platform for themselves, and this will allow you to do so without having to upload any data.
Monitoring is crucial to ensuring that ML models deployed in production are serving their intended purpose and operating as expected, but how soon is too soon to implement a monitoring solution? Ultimately it depends on the extent to which the models are integrated into business processes, and this blog post will walk through the considerations that should be made before deciding to implement an ML monitoring solution.