Accessible Machine Learning for the Enterprise Developer with Ryan Sevey & Jason Montgomery
Technology#Machine Learning📝 Blog|Analyzed: Dec 29, 2025 08:35•
Published: Nov 20, 2017 21:03
•1 min read
•Practical AIAnalysis
This article summarizes a podcast episode from Practical AI featuring Ryan Sevey and Jason Montgomery, founders of Nexosis. The discussion centers around their journey applying machine learning (ML), starting with identifying cheaters in video games and progressing to time-series data analysis and the Nexosis Machine Learning API. The episode originates from the Strange Loop conference, a developer-focused event. The article promotes the Nexosis API, encouraging listeners to obtain a free key and explore its capabilities for their projects. The focus is on making ML accessible to enterprise developers.
Key Takeaways
- •The podcast episode discusses the application of ML in various domains, including video game cheat detection and time-series data analysis.
- •Nexosis founders Ryan Sevey and Jason Montgomery are the featured guests, sharing their experiences and insights.
- •The episode promotes the Nexosis Machine Learning API and encourages listeners to explore its capabilities.
Reference / Citation
View Original"They invite you to get your free Nexosis API key and discover what they can bring to your next project at nexosis.com/twiml."