Rod Rivera

Congratulations on the launch, Evidently team! I've always admired Evidently for its comprehensiveness and all-encompassing approach framework. I often work with teams who are unsure about what metrics to focus on or how to begin their evaluation process. For those new or unsure where to start: * What best practices would you recommend? * Is there a feature that helps beginners 'set things...

I love that Cargo enhances Google spreadsheets massively. It converts GSheets into a powerful revenue engine for any organization. I started learning JavaScript last year, and I enjoy it. How does that help me with Cargo? And do I need deep expertise in Javascript to maximize my Cargo workflows?

I am a massive fan of deep work, and with so many distractions these days, we need better tools to immediately jump into a "deep focus mode" or an important internet call. I can see the potential of Allurt branching out in many directions within the productivity space.

It is elegant and a lot of work. We all struggle to get investments, and a common challenge is that many databases are not up-to-date. The additional problem is that the lists tend to be very generic. I like the granularity that Angel match offers. If I consider the time required to build such a list, the subscription cost is more than justified. I can use the time instead to start building...

I have been using Evidently for several months now, and I like that it is simple. Yet, it gives me an unmistakable value. I know exactly when I need to retrain my models, and I avoid wasteful retraining. The latest features with profiles and reports and JSON are very complementary to my setup in MLFlow. It is a small product but with a lot of punch. I am very excited about the features to come!...

I have managed large teams of data scientists for large international companies, and at first glance, this product might be helpful for my teams. However, once I try to understand the added value precisely, I get lost in a sea of buzzwords and lofty terms; compare that with something such as Amazon Sagemaker. Its website tells me exactly what I am getting and the limitations and how the product...

I use Evidently, and I am thrilled that we have more great tools in the MLOps space. Going into production and deploying machine-learning products is very challenging. In the past, I had to retrain all my models to keep them up-to-date, but this is inefficient and wasteful. With Evidently, I get better insights and can handle my models in a much more elegant manner in production.