Enterprise Architects and Technology innovation leaders are uniquely positioned to identify opportunities for creating new data-driven business models that leverage advanced analytics for market differentiation.
AI promises to be the most disruptive class of technologies during the next 10 years due to advances in computational power, volume, velocity and variety of data, as well as advances in deep neural networks (DNNs). AI comes in two forms — quantitative techniques that can predict behavior from data; and neural network techniques that can classify complex objects, such as images, video, speech and sound.
Organizations using AI technologies can harness data to both extract new insights from data and automate processes that are uneconomical applications for the human labor that is otherwise needed to perform the process. Any industry with very large amounts of data — so much that humans can't possibly analyze or understand it on their own — can utilize AI. Some industries, such as healthcare, are ripe for disruption. AI applications will bring new levels of customer service, decision quality, scale and operational efficiency to processes formerly operated by human labor
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