It seems all starts need to have some component of AI or machine learning to be successful these days. Or do they? In this talk we'll cover who *really* needs to be thinking about machine learning, what are the most cost effective ways to integrate machine learning into your business, and we'll also cover some tips and tricks for doing machine learning today without having to hire a PHD.

1. Machine Learning for Startups
Panel Moderated by:
Ryan Merket, Amazon

2. Aboutyour
Moderator
Ryan Merket
Startups at Amazon AWS
Previously Head of Ads Products
at Reddit, early Facebook
Platform team, and CEO and
Founder of Appstores (acquired by
InMobi).
Ryan has been leading internal
efforts at Amazon for educating
startups on AI / machine learning
and would love to share the
information with the SXSW!

3. Overview
• Does every startup need machine
learning to be successful?
• What are the most cost effective ways to
integrate machine learning into your
business?
• What are some ways startups can
leverage machine learning without
having to hire a PHD or ML specialist?

4. Potential
Speakers
 ML experts who have founded their own startups
 Startup founders who have integrated ML intro their
stack
 AI/ML industry leaders
 ML cloud architects and engineers

5. Potential
Questions
 Is machine learning for everyone? Should every startup
be thinking about machine learning to some extent?
 Is there ever an application where it doesn’t make
sense?
 What are some cost effective ways to integrate machine
learning into my app today? How not to blow $50k in a
weekend?
 What are some common pitfalls regarding machine
learning and startups?
 Are there any AI/ML services or programs that
startups should be aware of that exist for them to take
advantage of?