Recent posts by Mona

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Posts by Mona Team:

When to implement an ML monitoring solution

When to implement an ML monitoring solution

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.

Mona expands monitoring capabilities for intelligent automation processes

Mona expands monitoring capabilities for intelligent automation processes

Mona is happy to announce the expansion of use cases supported by the intelligent monitoring platform for AI / ML to include Robotic Process Automation (“RPA”) workflows. Currently providing customers across 8 different industries with actionable insights into their AI systems, Mona excels at providing complete process visibility, detecting issues within specific segments of data. As a highly extensible platform for many use cases including machine learning, NLU/NLP, speech recognition, and vision, the extension to support intelligent automations and RPA is seamless.  

Can you solve this $1B challenge with machine learning?

Can you solve this $1B challenge with machine learning?

We’ve just passed the middle of March. For folks worldwide, this means gearing up for autumn or spring festivities and traditions, religious and cultural celebrations like St. Patrick’s Day, as well as more humorous events like Pi Day. For sports fans in the U.S., March is the unofficial month of basketball, and it’s when basketball gets a little crazy. Here’s the story of how sports and basketball connect with passion, madness, analytics, machine learning, and a billion dollars (or potentially at least a few millions).