Twitter handles: Miles: @bdhobare, Cate: @categitau_, Mariam: @MamuAhmed, Anthony: @Sirodhis, Victor: @somonimochengo

Data science has gained quite some popularity in the past 5 years. But do we really understand it's many components and how they join together? Or do we understand it's practicality in different sectors, is it applied universally? In this episode Mariam Haji, Anthony Odhiambo, and Victor Mochengo have a chat with Miles Obare who has had a taste of practically applying data science in diverse sectors. We touch on:

1) Getting into and settling in a Fortune 500 company

2) Staying agile and transitioning as data science in multiple sectors

3) Being a relatively new role, what does a 'Head of Data Science' really do?

4) Differentiating a good data professional and a really really good kick-ass data professional

5) Using data as a strategic lever in different sectors; cash is still king!

6) Incorporating machine learning in to a data product & setting up the right feedback loops

7) Democratization of artificial intelligence and its practical super powers

8) What to expect after deploying models in to production

9) The most significant gaps in data tools

10) Miscommunication and expectation management in data science