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.
In virtually every industry, companies invest heavily in artificial intelligence. We all have an intuitive understanding of the “why”: Within just a few years it has become much easier to build predictive models with real business value, that save time and money, reduce manual labor, and improve results across the board. Ultimately, we want AI to deliver business optimization and growth.
Looking for a special gift for a data scientist or a data engineer at the office or in your life? You’ve come to the right place then. It’s just so hard to please them! We spent hours crunching data and running experiments with various gift ideas, narrowing the list to some of the best options so you won’t have to. Happy shopping!
Machine learning monitoring is a crucial aspect that allows you to develop insights into your ML models in production and ensure that they’re performing as intended. AI monitoring is also a necessary precondition to extracting meaningful business value from your models. Without understanding how your model’s predictions are impacting downstream business KPIs and revenue, it’s impossible to make further improvements and optimizations to your modeling pipeline. AI monitoring ensures that you are able to take preemptive actions before small modeling problems turn into catastrophic, system-level failures.