AGL 257: Machine Learning and AI with Luke Arrigoni

About Luke

Over the last fifteen years, Luke Arrigoni has worked with some of the top brands in the United States building machine learning and data science programs, even before there was such a term. He worked with companies such as UPS, J&J, Getty, AT&T, Stryker, Goldman Sachs, CAA, FOX, Sephora along with others.

Luke has media experience explaining to audiences at Bloomberg, WIRED and others on topics such as data’s impact on politics, machine learning, blockchain and other ways that technology intersects in a big way in everyone’s day-to-day life. He built and sold an econometrics business in the past and also has experience with Sino-American trading relationships.

He worked with several companies such as J&J and Samsung making him familiar with how to do business with technology and raise products in China. Luke enjoys getting people excited about otherwise dry topics like data by creating a meaningful narrative around how it applies to everyone, even if you don’t know how it impacts you. Luke would make an excellent guest to discuss technology and its impacts on industries.

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Today we Talked About

• AI
• Machine Learning
• Self-Driving Cars
• ML vs. AI
• Facial Recognition
• Minority Report
• AI/ML for Law enforcement
• Job Threats
• Neural Nets
• Embedding Spaces
• Language advances

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Connect with Luke

• Website
• Twitter
• LinkedIn

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