Harry discusses how cloud-based notebooks like Deepnote and Hex enhance collaboration among data scientists. He emphasizes the importance of version control and CI/CD for deploying ML models effectively, while also exploring how data warehouses such as Snowflake and Redshift can support these models. Additionally, he highlights the role of BI tools in monitoring ML models and engaging stakeholders during the prototyping phase.
