No AI until the data is fixed

The last few years have been auspicious for artificial intelligence. Once the preserve of Silicon Valley's tech giants, AI has emerged as a tool that businesses small and large have become keen to harness for disparate use-cases in domains ranging from cybersecurity to customer service and analytics. Data scientists, tasked with creating machine learning-driven tools, are now ubiquitous in most industries. As AI's presence and influence grows across the business world, one key potential pitfall should not be overlooked: data. AI systems are generally powered by machine learning, a technique that creates smart systems through the recursive training of algorithms on vast troves of data – in the case at hand, we are talking about data that companies create and gather throughout their daily businesses.