Watson Studio

We are delighted to announce the general availability of AutoAI in Watson Studio . We first previewed this in February for Think! 2019. With this release, we extend the portfolio of best-in-class data science and machine learning tools available in Watson Studio, the premier enterprise data science platform. This release focuses on the automation of the end-to-end model building lifecycle, from data ingestion to model deployment. With this release, Watson Studio continues its mission of boosting the productivity of data science teams large and small.

With IBM® Watson™ Studio, IBM has been ushering its customers into the era of AI. We from offering management have been working diligently to fortify and build upon the power of Watson Studio in order to further accelerate the multi-cloud AI journey, which enterprises across the globe have embarked on.

Step by step instructions on this github repo.

No Coding, Python or R required. Just plug your high-dimensional data and visualize it with the Data Refinery Tool in Watson Studio. Don’t get me wrong, I love coding in Python and R but when it comes to visualizing data fast, I just use Data Refinery.

The first time you create your Watson Studio service, you start with 50 CUH (Capacity Unit Hours). These are consumed as you use the tool, for example with notebooks, Auto AI, etc. Every month Watson Studio is automatically recharged with 50 CUH. Additionally, you can see your consumption of CUH within a project in Watson Studio in environments.

This is a test.