What do you like best about the product?

Honestly, what I love the most is how Domino takes the friction out of the AI lifecycle. Before, we spent so much time just getting environments set up, chasing down dependencies, and trying to replicate results. It was a mess. Domino’s unified platform just eliminates so much of that overhead. I can’t stress that enough. When I hand off a project, I know the next person can pick it up and run it exactly as I did. And also we can use our existing cloud or non- prem resources, which saves us money and avoid vendor lock-in. We share code, data, and results are quite easy. The version control for models and experiments is a lifesaver for our team. Genuinely Domino’s helps us operationalise AI. It’s not about building models, it’s about getting them into production and driving real business value.

What do you dislike about the product?

Need some easier setup, faster plugin access.

What problems is the product solving and how is that benefiting you?

Domino is fundamentally solving the fragmentation and inconsistency. Before using it, we are constantly batting siloed data, disperate tools, and inconsistent environments. This led to massive inefficiencies, slows down our development cycles, and made it incredibly difficult to scale our models. First and foremost, this platform eliminated the need for data scientists to constantly switch between different tools and environments. Secondly, it also solved the It Works On My Machine problem. Because here we can easily replicate experiments and ensure that our models are consistent across different environments. And finally, Domino’s Expertise AI Platform facilities collaboration between data scientists, engineers and other stake holders. So that we can easily share code, data and results.