The AI Experts You Need Are Right Beneath Your Nose

Ethical AI: Inclusivity as a Messy, but Promising Answer | Larry Orimoloye, Dataiku

Ethical AI: Inclusivity as a Messy, but Promising Answer | Larry Orimoloye, Dataiku

Collaborative Data Science at DAZN | Luke Clark & Andrea Salvati, DAZN

Collaborative Data Science at DAZN | Luke Clark & Andrea Salvati, DAZN

AI + Human Intuition = Differentiated Insights | Jeff McMillan, Morgan Stanley

AI + Human Intuition = Differentiated Insights | Jeff McMillan, Morgan Stanley

AI Adoption in the Enterprise | Jacob Wilson, PwC

AI Adoption in the Enterprise | Jacob Wilson, PwC

ABOUT

There are many myths about AI: that you need to hire elusive Stanford PhDs, that you need big data and millions of dollars worth of computers, and that only a select few can actually use AI. These are all false. In this talk, I will share how AI is being effectively used by people across a range of domains, with a much lower barrier to entry than you might expect. In fact, domain expertise is still incredibly valuable, and those with deep knowledge of your domain are best positioned to apply AI.

Rachel Thomas, PhD
Director, Fast.AI

Rachel Thomas is a professor at the University of San Francisco Data Institute and co-founder of fast.ai, which created the “Practical Deep Learning for Coders” course that over 200,000 students have taken and which has been featured in The Economist, MIT Tech Review, and Forbes. She was selected by Forbes as one of 20 Incredible Women in AI, earned her math PhD at Duke, and was an early engineer at Uber. Rachel is a popular writer and keynote speaker.