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.
Machine learning operations (MLOps) is currently one of the hottest areas for startup investment, because while best practices for building machine learning models are relatively well understood, a great deal of innovation is being poured into devising ways to best operationalize them for production. Chief among the MLOps categories is ML monitoring. Making sense of the landscape of ML monitoring tools can be frustrating, time consuming, and just plain confusing. Our goal with this article is to chart its cartography and, in doing so, hopefully illuminate some of the common pitfalls around choosing an appropriate monitoring solution, thereby bringing order to the chaos.