AI IN PREDICTIVE ANALYTICS WITH BIG DATA

Authors: Purvi Singh, Sagar Saxena, Shagun Singh, Miss Neha Patel, Mr. Subodh Kumar

Abstract: : As the amount of data in the world keeps growing, traditional methods of predictive analytics are struggling to keep up. This paper looks at how artificial intelligence (AI), especially self-learning systems like reinforcement learning and generative models, can work with big, messy, and unstructured data to make smarter predictions. Unlike older systems that need clean and well-organized data, these new AI models can learn from raw and real-time data to find patterns, predict trends, and help in better decision-making. We explore real-life examples in areas like city traffic and supply chain planning to show how these AI systems improve over time as they get more data. We also discuss some important challenges, such as fairness, data privacy, and the heavy computing power needed. Overall, this paper shows how AI is changing predictive analytics into a more dynamic and intelligent process.

DOI: http://doi.org/