For us, a big part of the challenge of making machine learning practical has been shrinking the cycle time between idea and production. We knew we were making progress when we could rapidly rebalance our training data and integrate feedback from our ML team into the process. The iterative cycle sped up dramatically, and we could move our models from idea to production in record time. – Mark Lemmons, co-founder of Shotzr