Documentary Screening of Data Science Pioneers - Nov 20

OptimalHQ

Level 4, 139 The Terrace · Wellington

How to find us

In between the James Cook and Novotel hotels.

Details

Join us for the second public screening of this documentary in New Zealand. Cut through the hype and see what it means to be a data scientist.
This documentary features our very own Shaun McGirr (now Head of Data Science and Business Intelligence at Cox Automotive UK).

Our venue has limited seating, so please update your RSVP if required to allow people on the waitlist to attend.

There's also a screening on 27 November if that suits you better.
Nov 27 screening https://www.meetup.com/Wellingtons-all-about-BI/events/266299477/

You're welcome to BYO lunch. Follow the threads with #dataiku and #datasciencepioneers.

About this Event
Even though the name is new, the role has a long lineage in statistics and information sciences. And while the challenges data scientists now face occur on an unprecedented scale today, they stand on the shoulders of technical and ethical quandaries that came before (after all, the question of self-driving cars is the trolley problem made real).

In Data Science Pioneers, real data scientists contextualize the role and why they love it while exploring the concerns and challenges to come. Data Science Pioneers is proof that data scientists aren’t just data-crazy mathematicians that happen to work in a cutting-edge field; they enjoy their work and want to take on difficult ethical questions, too. They want to make a difference.

For the non-data scientist, Data Science Pioneers is still a critical piece of the puzzle that is the future of AI - it’s about getting to know the people that are building systems that affect everyone’s day-to-day lives. Accepting AI as an inevitability is complex and might start with data scientists themselves, but it’s a fundamental change that will affect all and that cannot happen in isolation. Data Science Pioneers brings the story that will fuel discussions about not only how to construct a solid foundation for AI, but also a supportive community of those responsible for building it.

The agenda:

12:00 PM Welcome

12:05 PM Screening

1:05 PM - Quick 5 min discussion