From biomarkers, clinical data, HR, finance and manufacturing, any data owner can run native experiments. More advanced users can use the software to increase productivity and prune hypotheses quicky.

Drag and drop a dataset, click a button, presto! You have a model training ...

The license fee and the lack of pay per use pricing models are a hurdle in any grassroots initiative.

Helps speed up time to production and simplifies the entire ML process.

Nothing. The team has been great and the product works very well.

DAI assists greatly in the automation of our services. It greatly streamlines the process of feature selection, generation, model construction, model testing, and ensemble building and deployment.

The performance of DAI is far beyond what can be achieved with tools from Amazon, Google, and Microsoft. A great deal of the human expertise of Kaggle Grandmasters has been incorporated into the product. beyond overall performance, a key advantage of the product is very rapid product development and iteration. When we report an error or make a suggestion for enhancement, a new release is out within weeks.

Nothing. The product works extremely well.

We can develop a model in a fraction of the time it would take us using the traditional modelling workflow.

Some recent features such as Bring Your Own Recipe are great but still need lots of development to be relevant to some fields.

Simplified model build and tuning, easy to use, generated doc for experiment that summarizes what was done

Wish the price could be more affordable so more people could purchase and use