Nathan Cruz Coulson
- talk
Getting comfortable with data for AI
AI is only as good as the data it's trained on and in a world where every company and industry seems to be racing towards an AI powered future, in this talk we go back to basics.
What does data for AI look like?- What kind of “questions” can we potentially answer using AI?
- What kind of data do you need to answer the questions you have?
- What does the typical “data science process” look like?
- What makes a data scientist and how does it compare to similar roles?
Understanding the basics of data science can help you navigate the complexities and pitfalls of this latest "AI wave".
Track Sponsors
Originally presented in the Back to Basics: AI Fundamentals track - panel
Pivot Your Career To AI
In this panel discussion our AI experts provide practical advice on how you can pivot your career to AI.
Track SponsorsOriginally presented in the Back to Basics: AI Fundamentals track
About Nathan Cruz Coulson
Nathan is CTO & Co-Founder of Bold Donut Game, formerly Senior Technologist for Responsible and Ethical AI at the Digital Catapult. Nathan is a former Data Science for Social Good Fellow and has a background in social science and AI/tech. He has worked in project management and business development capacities for two startups in the EdTech and IT data visualization domains and startup accelerators focusing on social entrepreneurship and advanced digital technologies. Nathan holds an MSc in Data Science from Birkbeck, University of London, and a BA in Economics and Politics from SOAS, University of London.