Recent posts by Mona

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. 

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.

Earlier this year, a draft of the EU’s highly anticipated Regulation on A European Approach For Artificial Intelligence was published.