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AI and the revival of big data

Ayyalasomayajula, Madan Mohan Tito, (1977-)

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AI and the revival of big data

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI and the revival of big data/ Madan Mohan Tito Ayyalasomayajula, editor.
remainder title:	Artificial intelligence and the revival of big data
other author:	Ayyalasomayajula, Madan Mohan Tito,
Published:	Hershey, Pennsylvania :IGI Global, : 2025.,
Description:	1 online resource (xxii, 419 p.) :ill.
[NT 15003449]:	Preface -- Chapter 1. The Dawn of Big Data: Origins and Early Promise of Big Data -- Chapter 2. Big Data Revolution: Idea - Development - Consequences -- Chapter 3. Hype vs. Reality: Unmet Expectations in Big Data Projects -- Chapter 4. Technical Challenges in Scaling Data Infrastructure -- Chapter 5. Review on Big Data Analytics Applications -- Chapter 6. Shaping the Future: Emerging Trends and Strategic Predictions in Big Data and AI -- Chapter 7. Optimizing AI Through Data Mining and Statistical Tools for Enhanced Model Performance -- Chapter 8. Optimizing Load Distribution in Big Data Ecosystems: A Comprehensive Survey -- Chapter 9. Swarm Intelligence and Meta-Heuristics for Enhanced Optimization inBig Data Analytics -- Chapter 10. Resuming Transfer Technique for Two-Level Sharding Point of Rupture for a Single Table -- Chapter 11. Quantifying the Fiscal Ramifications of Big Data Integration in Service Organisations: Mitigation of Financial Malfeasance -- Chapter 12. Big Universe, Big Data Machine Learning, and Image Analysis for Astronomy -- Chapter 13. Artificial Intelligence, Machine Learning, and the Revival of Big Data in Pharmaceutical Sciences: Revolutionizing Drug Discovery, Process Optimization -- Chapter 14. AI-Based Automated Disease Detection Based on Symptoms Healthcare for Pets and Birds -- Chapter 15. Advanced Machine Learning Algorithms for Personalized Diabetic Foot Ulcer Treatment -- Compilation of References -- About the Contributors -- Index.
Subject:	Big data. -
Online resource:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8472-5
ISBN:	9798369384749

AI and the revival of big data
AI and the revival of big data[electronic resource] /Artificial intelligence and the revival of big dataMadan Mohan Tito Ayyalasomayajula, editor. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xxii, 419 p.) :ill.

Includes bibliographic references and index.

Preface -- Chapter 1. The Dawn of Big Data: Origins and Early Promise of Big Data -- Chapter 2. Big Data Revolution: Idea - Development - Consequences -- Chapter 3. Hype vs. Reality: Unmet Expectations in Big Data Projects -- Chapter 4. Technical Challenges in Scaling Data Infrastructure -- Chapter 5. Review on Big Data Analytics Applications -- Chapter 6. Shaping the Future: Emerging Trends and Strategic Predictions in Big Data and AI -- Chapter 7. Optimizing AI Through Data Mining and Statistical Tools for Enhanced Model Performance -- Chapter 8. Optimizing Load Distribution in Big Data Ecosystems: A Comprehensive Survey -- Chapter 9. Swarm Intelligence and Meta-Heuristics for Enhanced Optimization inBig Data Analytics -- Chapter 10. Resuming Transfer Technique for Two-Level Sharding Point of Rupture for a Single Table -- Chapter 11. Quantifying the Fiscal Ramifications of Big Data Integration in Service Organisations: Mitigation of Financial Malfeasance -- Chapter 12. Big Universe, Big Data Machine Learning, and Image Analysis for Astronomy -- Chapter 13. Artificial Intelligence, Machine Learning, and the Revival of Big Data in Pharmaceutical Sciences: Revolutionizing Drug Discovery, Process Optimization -- Chapter 14. AI-Based Automated Disease Detection Based on Symptoms Healthcare for Pets and Birds -- Chapter 15. Advanced Machine Learning Algorithms for Personalized Diabetic Foot Ulcer Treatment -- Compilation of References -- About the Contributors -- Index.

"The primary aim of this book is to offer a thorough analysis of Big Data's trajectory, focusing on its resurgence through AI technologies. It provides relevant theoretical frameworks and up-to-date empirical research findings to illuminate the strategic role of Big Data at different levels of the information and knowledge society"--

Mode of access: World Wide Web.

ISBN: 9798369384749Subjects--Topical Terms:

2045508
Big data.
Subjects--Index Terms:

Artificial Intelligence (AI)Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA76.9.B45 / A527 2025eb

Dewey Class. No.: 005.7

AI and the revival of big data
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