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Unstructured data - Transform Content to Actionable Data and Unlock New Business Opportunities Through AI

Transform Content to Actionable Data and Unlock New Business Opportunities Through AI

The promise of AI has been long time coming, but it is finally enabling content creators to streamline complex business processes, uncover rich insights, and deliver greater value.

Artificial Intelligence technology has come to dominate the business world in a relatively short period of time. As a concept, it emerged from a 1956 workshop at Dartmouth College, where a handful of computer scientists theorized how machines would learn, analyze language, and complete tasks. From this workshop, the term artificial intelligence (AI) was coined and scientists discussed the future of machine learning, neural networks, and deep learning–essentially laying the foundation for the automation revolution now underway.

Many AI applications remained theoretical or experimental for decades because most computers could not process information quickly enough or store the massive amount of data needed to complete more complex tasks. Only recently have computer processing speeds and storage capabilities advanced to a point where AI can tackle highly nuanced problems like language and content analysis. In just the last four years, these advancements have made a huge impact on a variety of businesses by streamlining processes that have been predominately manual, such as content analysis and categorization.

The applications of AI are nearly limitless, and the technology is ushering in a new era of content creation and enrichment. Effectively, AI and machine learning are converting content into actionable data for businesses, helping professionals extract key concepts from medical research, meet intricate financial regulatory requirements, and streamline the production of academic journals.

Today, the field of artificial intelligence encompasses several solutions that help businesses quickly analyze and understand wide swathes of content. Those solutions include machine learning, natural language processing, computer vision, and deep learning.

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