Greg Harman, Jaxon's CTO, shares his thoughts on improving models with synthetic data, and striking a balance between noise and quantity.

Does there have to be a tradeoff between speed and accuracy? With rapid prototyping, you can have both. The Jaxon team discusses how.

Jaxon's CTO, Greg Harman, takes you through the loops of iterative AI development and how to take AI from toy problems to practical applications.

Do you feel like people are treating data science more like 'astrology for data'? Jaxon wants to trade the mysticism for concrete facts.

We discuss using custom ML models to analyze voice of the customer on social media, call/chat logs, reviews, surveys, and more.

Jaxon's CTO, Greg Harman, explores the meaning of truth—specifically, ground truth and its intersection with real-world data.

Active learning was an important step towards creating effective TDP and cost-sensitive ML, but is it enough by itself?

Jaxon's approach to call transcript classifiers is a 3-component neural model: text representation, attention layer, and classification.

How can Jaxon's SmartSplit function help you avoid covariate drift and split off test sets smarter? Jaxon's CTO, Greg Harman, explains.

Jaxon’s patent-pending SmartSplit Technology is a proprietary means of splitting a dataset (e.g. into training and holdout datasets).