As with any new technology, machine learning implementation brings challenges and risks that businesses need to face and mitigate before moving forward. Another challenge of an ML-based system is that it is heavily dependent on data rather than human insight. Such a system can easily lead to a "winner takes all market," where large organizations with easy access to large quantities of data grow exponentially while the smaller players are left behind. The crucial aspect of this technological change is to use the machine capabilities along with human capabilities to create an organization that can thrive and grow its people as well as culture. With the amount of personal data being continually created, ML algorithms that analyze the data can pose a significant challenge to privacy.