So this happened to me when I deployed my first ML model in my organisation, The stakeholders were very inquisitive about trying it out. Since they were from non-technical background so I thought sharing my jupyter notebook won’t be a good idea. Also building a web app meant working on the backend and front-end which was a time-consuming task. I know this problem is common among many data scientists working in product-based companies and one of the go-to tool I recently discovered which solves this problem is Daisi.
What is Daisi?
Daisi (app.daisi.io) is a scientific Cloud Computing platform running Python serverless functions, named Daisies. It is the foremost destination for APIs for Python coders, scientists, researchers, engineers, analysts.
In this article we will discover how to use daisi as a collaborating platform. You can found more about how to create your daisi in below articles –
How to collaborate on Daisi ?
Step-1: Go to my teams (top-right corner) and click on create new team.
Step-2: Enter your team name and add team members in it. ( Note- team members should be registered on daisi) .
Step-3: Now go to daisies in my org section and you can add as many daisies as you want to share it with your team.
I have made a crop-recommendation system which I have shared with my team.
Now these private daisies are accessible to my team and they can play with my python app as many times as they want. Daisies are super-easy to build and deploy, plus collaboration feature helps data scientists like us to bring better visibility to our models within team.