Implementing AI in Decision making in the Age of Big Data Evolution, Architecture and Challenges of AI Decision Systems

Abstract

The paper looks at how AI-assisted decision support technology has changed over time with Big Data. It checks out how new technology has affected the way we make decisions from systems that followed rules to modern AI systems that use agents. The paper points out the parts that make up AI decision systems like getting data storing features, layering models and making sure everything runs smoothly. Some important things the paper found out include that AI is being used more and more in areas, such, as finance, healthcare and logistics. The paper also talks about AI decision support technology. How it is used in these areas. However there are some problems that prevent AI decision support technology from being used effectively including being able to understand how AI works making sure the data is good and preventing algorithms from being biased which affects AI decision support technology.