Hugo speaks with Tanya Cashorali, a data scientist and consultant that helps businesses get the most out of data, about what end-to-end data science looks like across many industries, such as retail, defense, biotech, and sports, including

scoping out projects,
figuring out the correct questions to ask,
how projects can change,
delivering on the promise,
the importance of rapid prototyping,
what it means to put models in production, and
how to measure success.

And much more, all the while grounding their conversation in real-world examples from data science, business, and life.

In a world where most organizations think they need AI and yet 10-15% of data science actually involves model building, it’s time to get real about how data science and machine learning actually deliver value!

LINKS

Episode 17: End-to-End Data Science