Fri, March 10, 2023
Both commercial and military systems are rapidly evolving into complex Systems of Systems (SoS) that incorporate advanced technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Associated with these systems are emerging behaviors that require decision support beyond the capacity of human reasoning alone. The field of Data Analytics provides methodologies to assist human decision-making with respect to complex SoS.
Data analytics is the science of analyzing raw data in order to make conclusions about the information derived from it. In fact, many data analytics methods have been designed to autonomously transform raw data into information for human consumption. This information can then be used to optimize processes and increase the overall efficiency of a business or system. The data analytics process includes the following steps:
Data analytics is broken down into four basic types: Descriptive analytics describes what has happened over a given time period; Diagnostic analytics focuses on why something happened; Predictive analytics describes what is likely going to happen in the near term; Prescriptive analytics suggests a course of action. Data analytics assist human decision-making for quality control systems in the financial world. The retail industry also uses data analytics to meet the ever-changing demands of shoppers. The travel and hospitality industries have also adopted data analytics to assist with human decision-making where quick response times are critical. Likewise, the healthcare industry applies data analytics to assist doctors and nurses with time-critical decisions on which life and death depend
This presentation provides an in-depth review of the concept of “Data Analytics” methods, such as data analysis, data fusion, data storage, data sources, infrastructure and technology, screening and filtering algorithms, machine learning, and complexity; and it discusses how each of these assists human decision making. The presentation then describes specific commercial and military use cases where these methods can assist human decision-making. These use cases include:
In summary, the audience will emerge from this presentation with a focused understanding of data analytics principles and, through the examples from 6 use cases, how these principles can be applied to assist humans in making decisions for complex SoS.