Meeting the data needs of artificial intelligence - IBM IT Infrastructure Blog

Artificial intelligence (AI) is playing an increasingly critical role in business. By 2020, 30 percent of organizations that fail to apply AI will not be operationally and economically viable, according to one report[1]. And in a survey, 91 percent of infrastructure and operations leaders cite "data" as a main inhibitor of AI initiatives[2]. What does a data professional need to know about AI and its data requirements in order to support his or her organization's AI efforts? Many factors have converged in recent years to make AI viable, including the growth of processing power and advances in AI techniques, notably in the area of deep learning (DL).