Experts on big data

Big data refers to extremely large and complex data sets that are difficult to process and analyze using traditional data processing methods. These data sets are generated from a variety of sources including social media, sensors, and transactional systems. The key characteristics of big data are the “Five Vs”: volume, variety, velocity, value and veracity.

Volume refers to the sheer amount of data that is being generated, with the ability to store, process and analyze data on a massive scale. Variety refers to the different types of data that are being generated, including structured, unstructured, and semi-structured data. Velocity refers to the speed at which data is being generated and processed, with the ability to analyze data in real-time. Veracity refers to the uncertainty and ambiguity of data, and the need to ensure data quality. Value refers to the value big data provides, and what organizations can do with that data.

Big data technologies such as Hadoop and Spark are used to store and process large data sets, while machine learning and analytics tools are used to extract insights and make predictions. WPI experts on bioinspired materials are available to talk about the integration of big data into everyday life, including its applications in healthcare, finance, retail, and marketing.

Emmanuel O. Agu
  • Professor Computer Science
Professor Agu's research interests are in the areas of computer graphics, mobile computing, and wireless networks. He is especially interested in research into how to use a smartphone as a platform to deliver better healthcare. ... View Profile
Yanhua Li
  • Associate Professor Computer Science
Professor Li's research interests are in analyzing, understanding, and making sense of big data generated from various complex networks in many contexts, including urban network analysis, large-scale network data sampling, measurement, online social beh ... View Profile
Rodica Neamtu
  • Professor of Teaching Computer Science
Professor of computer science Rodica Neamtu studies and leads students through exploration of the human impact of artificial intelligence. ... View Profile
Elke A. Rundensteiner
  • Professor, Computer Science, Program Head, Data Science Computer Science
Professor Rundensteiner's research focuses on how to make use of data and information in an effective manner, towards achieving goals in business, scientific discovery, and digital health. ... View Profile
Erin Solovey
  • Associate Professor Computer Science
Much of Professor Solovey's work explores effective human interaction with complex and autonomous systems and vehicles. ... View Profile
Haichong Zhang
  • Assistant Professor Robotics Engineering
Professor Zhang is the founding director of the Medical Frontier Ultrasound Imaging and Robotic Instrumentation (Medical FUSION) Laboratory. ... View Profile