Philips SuperAuthor 3.0.3.0.zipbfdcm
You can use a notebook to download data from any data source or organize it and use it in your own model development.  Notebooks are editable and shareable, like web pages, and each can be composed with Markdown syntax.
Other similar products: 
Teambox - A web-based collaboration platform, which allows users to work together on tasks and easily share content.
App Scripts - Google's official toolkit for coding scripts within Google documents and spreadsheets.
SageMaker - An open source automated machine learning service that allows you to build, train, and deploy predictive models.
Cloud Architectures
Finally, it is a common practice for people in the AI community to discuss and define what "AI/ML in the cloud" might mean.  You can refer to this page for a good overview.  However, I also found the following interesting page which covers a common architecture for cloud-based A/ML solutions:  
A:
Kaggle is a platform for developers and data scientists to share work (models and data) with others.
According to its website:
Kaggle is a data-sharing platform that enables developers and data scientists to discover and present data, create machine learning models, and run experiments on these models.
It also provides free public training data and allows users to share models and data.
Kaggle models are run on cloud infrastructure (for now, they support Amazon AWS and Google Cloud).
Kaggle hosts competitions and provides feedback (leaderboards) for users' work.
Example of use:
You can access Kaggle from  click Create an account and then select other social networks
You can publish data and create models in kaggle
You can follow competitions (e.g.  You can access the leaderboard in the competition website (e.g.  You can also browse the leaderboards and their works from the kaggle site.
You can access the leaderboard of the users who are following you
You can download files from Kaggle
You can copy files from Kaggle to your machine
You can edit files from Kaggle
44926395d7

Related links: