“In 2021, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity,” according to Gartner. It will do so largely by learning how to make better predictions over time and supplementing people’s ability to complete tasks in more natural ways.
For example, radiologists will rely on the inferences AI draws through deep learning to make more accurate diagnoses from medical imaging. Customers will enjoy better product recommendations based on a continually learning AI model rather than static assumptions. And elevator technicians will use AI to help direct them to maintenance issues before a breakdown occurs based on analysis of unstructured data.
However, success with AI is dependent on achieving success first with how data is collected and managed. Businesses must establish a strong foundation that makes data simple to use and accessible, regardless of where it resides, with the help of technologies like data virtualization.
AI and the evolution of business
For these reasons, AI and its relationship with data were a hot topic at the recent MongoDB World conference. In his keynote, Adam Storm, IBM distinguished engineer, talked about the motivators for the AI revolution, how organizations can take part in it, and put their data to work. He also talked about how technology fundamentals are evolving in dramatic new ways—and so are the business models…