Portfolio Manager, AI & ML at a healthcare company with 10,001+ employees
Real User
2019-12-09T10:59:00Z
Dec 9, 2019
We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost.
A data science platform provides the tools and infrastructure for data scientists to build, deploy, and manage machine learning models. These platforms provide a centralized environment for all of the tools and infrastructure that they need to build and deploy machine learning models.
The most valuable feature is the performance.
The most valuable feature is the ease of setting up visualizations.
We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost.
The idea that you don't have to generate reports each day but they are sent automatically is great.