Building a data science (DS) project and training a model is only the first step. Getting that model to run in the production environment is where companies often fail: according to McKinsey, less than 10% of DS projects are deployed into production with an average deployment time of 9 to 12 months.
Vincent De Stoecklin, Customer Success Director at Dataiku, will talk about best practices and key learnings to make this crucial step of the data science process easier.
During the session, we will cover:
1) How organisations deploy AI, ML, DS projects in production
2) What are some key challenges and learnings
3) Real-life examples of companies who have successfully deployed data science products.