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!