The realities of today's digital transformation are pushing organizations across all industries to expand and accelerate their decision-making processes. Adaptability and precision remain essential, while decision complexity is accelerating. In response, organizations are changing the way they approach decisioning – leveraging technology in concert with human potential for obtaining the highest value. There are two approaches: the most familiar one is augmented decision making – where humans take analytically driven insights to make a decision, for example in call centers; and the second - automated decision making – where the machine makes the decisions, for high-volume transactional systems like credit origination, next best offers, and logistical routing. As these analytically driven approaches are embedded into decisioning operations, the impact on people and companies is far-reaching including the need to ensure fairness and eliminate bias in the process.