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AI-Driven Insights: Transforming Big Data into Actionable Intelligence

EasyChair Preprint no. 11890

7 pagesDate: January 29, 2024


The explosive growth of digital data in the contemporary landscape poses both a challenge and an opportunity for organizations seeking to harness its potential. This abstract delves into the transformative role of AI-driven insights in converting massive volumes of Big Data into actionable intelligence. As organizations grapple with the complexities of data management, artificial intelligence emerges as a pivotal force, offering sophisticated algorithms and machine learning capabilities to extract meaningful patterns, correlations, and trends from the data deluge. This paper explores how AI technologies enable organizations to not only make sense of their data but also translate it into strategic and actionable insights, empowering decision-makers to drive innovation, enhance operational efficiency, and gain a competitive edge in today's dynamic business environment.

Keyphrases: actionable intelligence, AI-driven insights, Big Data transformation

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Lee Kasowaki and Kabir Adler},
  title = {AI-Driven Insights: Transforming Big Data into Actionable Intelligence},
  howpublished = {EasyChair Preprint no. 11890},

  year = {EasyChair, 2024}}
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