If AI is your priority, start with a data strategy

Every sector in the world is currently investigating artificial intelligence (AI). Groundbreaking advancements in AI will take place in health and life sciences, cyber-intelligence, smart cities and transportation. But before anyone can execute an AI strategy, they'll need a data strategy. When we think about the vast majority of the work that data scientists do, 85% of that work is associated with data governance, cleansing, tagging and classification of data--all elements that are embodied in the concept of a data strategy. Thus, harnessing the power of data with AI requires understanding the data sets required and how relevant they are to the insights we are trying to drive.