[Jugurtha]

We integrated Airbyte, Superset (https://superset.apache.org) , and Streamlit (https://streamlit.io/) with our ML platform, (https://iko.ai).

The platform provides real-time collaborative notebooks so people can train, track, package, deploy, and monitor machine learning models on Kubernetes.

Depending on the client and their data sources, our people can get data using Airbyte. Then build dashboards using Superset. They also can deploy a Streamlit application right from the notebook without worrying about spinning up a VM on GCP, set the environment, deploy, add authentication, etc. as the platform does that. They can invoke the deployed models from there.

Especially with projects that move fast, the cycle needs to follow to show results to our clients and we shave off inefficiencies as we go.