Big Data Analytics and Machine Learning are pervasive in the decision-making processes of major corporations and governments around the world. This fact introduces a new opportunity and attack vector for hackers - instead of stealing data, attackers can potentially influence or control the decisions of their victims. In our talk we highlight the poor decisions that developers make in their code that enables attackers to drastically skew machine learning models, deliver denial of service attacks, or outright gain remote code execution. We'll target applications such as Apache Hadoop with a throwback attack from 2001 and kick the doors open on OpenCV using automatic vulnerability discovery techniques. We'll also recommend a plausible dynamic defense against our novel attacks.