When Hare Beats Tortoise: Knowing When to Train Your Models - Seguridad Mania.com - España y América Latina

Businesses are realizing the benefits of predictive analytics, especially when using the latest technologies in machine learning & AI. The prevailing methodology has been to train predictive models in order to determine which data is useful and which data is not prior to deployment. While training improves the predictive power of your predictive models, there are cases when training prior to deployment may not make sense for your business. This session discusses how to determine when to train your models and how to effectively turn the insights from your models into action that improves business outcomes. Key Takeaways: • How machine learning & AI can boost business performance • How to determine when to train your predictive analytics models • How to turn analytics to action through digital decisioning