Machine Algorithm Predicts Startup Success For Novelti

Last week we previewed this in “How Machine Learning APIs are Being Used to Predict Startup Success.” Can there be a quantifiable way to hedge investors’ risk and ensure they are betting on the right horse? According to the startup “jury” algorithm PreSeries, it’s mathematically probable to predict which startup is most likely to succeed and that startup is Novelti. This startup which uses online machine-learning algorithms to convert Internet of Things sensor data into real-time intelligence, machine learning and pattern recognition was predicted to be successful with an 87 percent likelihood. Novelti beat out four other predictive analytics and artificial intelligence competitors—Intranetum, Emotion Research Lab, Datatrics and restb—at the PAPIs Connect conference for machine learning and predictive APIs. Using a voice-command device, PreSeries listened to each startup’s four-minute pitch…


Link to Full Article: Machine Algorithm Predicts Startup Success For Novelti