Shawn Scully from Dato discusses how their machine learning toolkits can help developers quickly build intelligent applications. Their toolkits provide pre-built models for common tasks like recommendation, sentiment analysis, similarity search, churn prediction, and data matching. Developers can easily create applications with just a few lines of code, deploy models as microservices, and iteratively improve applications based on feedback. Dato aims to accelerate innovators by providing agile machine learning tools.