Machine Learning for Builders: Tools, Trends, and Truths
Mackenzie is the Global Startup Evangelist at AWS where he mentors hundreds of startups every year. Prior to joining AWS, Mackenzie was the Head of Technical Operations at Betterment, a robo-advisor FinTech startup in NYC which manages over $10B in assets. He was a founding engineer and Head of Technical Operations at Oscar, a health insurance startup, helping to grow the company from 10 to over 1,000 employees. His first jump into the startup world was when Mackenzie left MTV / Viacom to join a small social media startup called Tumblr helping to growing the site to over 20B page views per month and becoming the 9th most trafficked website in the USA. A true Digital Nomad, Mackenzie spends 100% of his time traveling every corner of the world to meet with entrepreneurs changing every conceivable industry.
Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning is a perfect fit for every situation (yet). So how can a startup harness machine learning for its own set of unique problems and solutions, and does it require a warehouse filled with PhDs to pull it off?
- Find the digital tools that make machine learning available to a wider set of people and problems.
- Implement machine learning where it is a perfect fit to drive your business, and where it has further to go.
- Determine in what new directions machine learning’s most advanced practitioners are taking it now.