At Mona, we strive to enable better visibility into AI systems in order to reduce the associated risk with production AI, optimize the operational processes around versions and releases, and plan better AI roadmaps using feedback based on production data.
As our customer base grows and the number of production AI use-cases being monitored by Mona increases, our team has been working tirelessly to advance our product to become a best in class AI observability solution.
Last week, a draft of the EU’s highly anticipated Regulation on A European Approach For Artificial Intelligence was leaked. The official version is expected this week.
Just recently we published an important update on our growth, from recent customers to our team growth. Today, I’d like to go a little deeper on our current product and share how we’ve been expanding it in multiple areas to create value for our customers.
It’s hard to believe that it has been almost three months since we turned the page on 2020, filling our hearts with new hope for a better year to come. I am proud to share with you that Mona has come out strong from an unexpected and challenging year. As we take a moment to catch our breath and reflect on our recent accomplishments, I wanted to take a moment and share some updates with you.
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).