Future Trends in Data Analytics

Author:

Thangamani S.1,Saranya R.1

Affiliation:

1. Nandha Engineering College, India

Abstract

Data analytics stands at the precipice of an unprecedented transformation, driven by technological breakthroughs, shifting user demands, and evolving industry landscapes. This abstract delineates forthcoming trends poised to redefine the fabric of data analytics in the foreseeable future. The future of data analytics is characterized by a convergence of cognitive computing, ethical AI, hybrid cloud architectures, augmented data management, blockchain technology, edge intelligence, and continuous intelligence. By embracing these transformative trends, organizations can unlock the full potential of data analytics, foster innovation, and drive sustainable growth in an increasingly data-driven world. AI-Powered Automation and machine learning algorithms are set to revolutionize data analytics by automating repetitive tasks, uncovering hidden patterns, and delivering actionable insights at scale. Ethical data governance with growing concerns about privacy, security, and algorithmic bias, ethical data governance emerges as a cornerstone of responsible data practices.

Publisher

IGI Global

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