When setting up an environment for data science often one only focuses on the tools, but Data Scientists can’t do their work if they have difficulties finding the right data. Also a company can only monetize on data science when the models are put into production and used in a business context, the faster the better.
Keeping the latter two remarks in mind, the key to fast ML/AI monetisation is having an environment that not only allows Data Scientists to collaborate, analyze data and build models, but also provides easy and fast access to data assets (actually to ‘data science assets’ in general) and allows fast model deployment (including continuous learning).
Meet Watson Studio, an open source based enterprise workbench for Data Engineers & Data Scientists that provides exactly that.
Session Level: Beginner