TurboML’s platform to leverage fresh data for ML
Learn how TurboML's platform overcomes the challenges posed by real-time data that enable fresher features, faster models and more.
Learn how TurboML's platform overcomes the challenges posed by real-time data that enable fresher features, faster models and more.
Machine learning today is predominantly data-driven, making real-time data a powerful asset for ML. This enables fresher features, more up-to-date models, quicker experimentation, and various other advantages. However, this approach also presents several challenges. In this talk, we’ll explore some of these challenges and discuss how TurboML developed their ML platform to effectively leverage fresh data.
