• Home
  • Fresh Content
  • Courses
  • Resources
  • Podcast
  • Talks
  • Publications
  • Sponsorship
  • Testimonials
  • Contact
  • Menu

Jon Krohn

  • Home
  • Fresh Content
  • Courses
  • Resources
  • Podcast
  • Talks
  • Publications
  • Sponsorship
  • Testimonials
  • Contact
Jon Krohn

Machine Learning for Video Games

Added on January 17, 2023 by Jon Krohn.

Carly Taylor — Lead ML Engineer for the "Call of Duty" franchise — joined me for today's fun, super informative episode on low-latency software engineering, real-time ML, and the future of gaming.

Carly:
• Grew rapidly from a Sr Data Scientist role to simultaneously holding "Expert ML Engineer" and "Sr Mgr — Security Strategy" titles since joining Activision two years ago.
• At Activision, specifically works on Call of Duty, one of the top-grossing video game franchises of all time, with over $30 billion in sales and 250m global users annually.
• Prior to Activision, rapidly grew from Analyst to Data Scientist roles.
• Has amassed a LinkedIn following of 75k+ by regularly posting fruitful tips on breaking into a data science career and progressing within it.
• Advocates for women in STEM, tech, and gaming careers.
• Offers 1:1 career consulting to anyone who desires it.
• Holds a Masters in Computational Chemistry from the University of Colorado and completed the Galvanize Data Science Immersive program.

Today’s episode certainly has technical tidbits throughout that will be useful to hands-on practitioner but much of the wide-ranging conversation will be fascinating to any listener, particularly if you have an interest in video games, the so-called metaverse, or real-time machine learning.

In this episode, Carly details:
• What the future of gaming holds.
• Why low-latency is critical for an optimal gaming experience and the tools that online engineers use to make it happen.
• Her favorite operating systems, software packages, and keyboards.
• How to transition effectively from a quantitative academic background into data science.
• How to file a patent.
• Why she’s called the “Rebel Data Scientist”.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

In YouTube, SuperDataScience, Podcast, Interview, Data Science Tags SuperDataScience, ML, AI, gaming, video games
← Newer: ChatGPT: How to Extract Commercial Value Today Older: A Framework for Big Life Decisions →
Back to Top