Combining Artificial Intelligence (AI) with Big Data is creating next-generation solutions for decision-making. This article examines how AI and Big Data empower organizations to make better, faster, and more efficient decisions by providing ample data. It explores how AI-powered analytics processes large datasets to gain useful insights and accurately predict trends, discussing techniques such as machine learning, data mining, and the importance of real-time data processing in enhancing business intelligence and operations. The article also discusses the impact of AI and Big Data in fields like healthcare, finance, and smart cities, providing several examples. It addresses major issues in Big Data, such as data quality, data privacy, and computational complexity. Concluding, the article highlights that AI and Big Data will continue to shape the future of decision-making, and technological advancements allow for the development of superior predictive models. Recommendations for future research focus on overcoming current system shortcomings and exploring new technologies like edge computing and hybrid AI models.

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Transforming Decision-Making: How AI and Big Data Are Revolutionizing Data-Driven Strategies

  • Vijaya R. Varma Pothuri,
  • Rama C. Koppula,
  • Sake Madhu,
  • Satish Kumar Pothuri

摘要

Combining Artificial Intelligence (AI) with Big Data is creating next-generation solutions for decision-making. This article examines how AI and Big Data empower organizations to make better, faster, and more efficient decisions by providing ample data. It explores how AI-powered analytics processes large datasets to gain useful insights and accurately predict trends, discussing techniques such as machine learning, data mining, and the importance of real-time data processing in enhancing business intelligence and operations. The article also discusses the impact of AI and Big Data in fields like healthcare, finance, and smart cities, providing several examples. It addresses major issues in Big Data, such as data quality, data privacy, and computational complexity. Concluding, the article highlights that AI and Big Data will continue to shape the future of decision-making, and technological advancements allow for the development of superior predictive models. Recommendations for future research focus on overcoming current system shortcomings and exploring new technologies like edge computing and hybrid AI models.