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Springer Data-Driven Innovation for Intelligent Technology - AI & ICT

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Description

Data-Driven Innovation for Intelligent Technology explores cutting-edge perspectives and practical applications of data science within information and communications technology. Published by Springer as volume 148 in the Studies in Big Data series, this comprehensive resource examines how organisations leverage data-driven approaches to develop intelligent systems and drive technological advancement. The book brings together expert insights on translating large-scale data analysis into actionable innovation strategies across ICT sectors. Ideal for researchers, technologists, and business leaders seeking to understand the intersection of big data, artificial intelligence, and modern technology development, this volume provides both theoretical foundations and real-world case studies demonstrating the transformative potential of data-driven decision-making in building next-generation intelligent solutions.

Key Features

Part of Springer's Studies in Big Data series (volume 148), ensuring peer-reviewed academic rigour and authoritative content on data science applications.

Covers both theoretical perspectives and practical applications of data-driven innovation within ICT and intelligent technology development.

Addresses how organisations implement big data strategies to create intelligent systems and competitive advantages in technology sectors.

Features contributions from leading experts in data science, artificial intelligence, and information technology research and practice.

Suitable for academic researchers, industry professionals, and technology leaders developing data-centric innovation strategies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 April 2024
Listed Since
13 January 2024

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