Big data refers to extremely large and complex sets of data that cannot be easily managed, processed, or analyzed using traditional data processing methods. It involves the collection, storage, and analysis of massive volumes of data to extract valuable insights, patterns, and trends, often requiring specialized tools and techniques to handle its scale and complexity. As businesses seek to optimize their operations through data, they will become increasingly reliant on complementary technologies like artificial intelligence and cloud computing to maximize the potential of large data stores.
Unlock business efficiency with Michigan State University's 'Pareto Data' strategy—focus on the right IoT and AI data to drive actionable insights and transform operations without unnecessary complexity or cost.