Deploying AI instantly brought value and growth to many businesses. However, it is well established that sustaining the value over time, not to mention maximizing it, could be quite challenging. Continuous optimization is the key to successful AI deployments. Beginning with a product that’s good enough, learning from how it performs in the real world, especially as the world (read: the data environment) changes, and then improving; then learning and improving again and so on. It’s a bit of an obvious insight but it is rare for AI-driven products to be perfect from day one.
Here at Mona, we are now allowing new users to try our leading AI monitoring platform with a free 30 day trial! No credit card required, no strings attached. That’s right. You get instant access to our full platform including all features!
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.