Business leaders have long understood that the vast amounts of data generated in the technology-driven era had the potential to become the source of their success. However, without technology capable of sifting through, prioritizing, and refining massive amounts of data, organizations lack the resources necessary to extract meaningful conclusions. And the rate of data generation is growing exponentially, with billions of sensors in retail stores, hospital equipment, smart cameras, manufacturing machinery, and more.
Whether it’s speech recognition in audio recordings, or information related to shopping behaviors, movies watched, or boxes moved, the data collected can be used to inform real-time actions and serve as use cases in conversational artificial intelligence (AI), natural language processing (NLP), computer vision, recommender systems, and more.
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