Artificial intelligence-powered transformation across retail, government, and enterprise institutions

Authors

Abhishek Dodda
Sr AI Solutions Engineer, Centi

Synopsis

Despite the massive economic disruptions and changes caused by COVID-19, an ongoing technological revolution continues in the world of information technology. Data analysis innovations such as big data technologies, advanced analytics, artificial intelligence, and AI-powered automation have changed the world of business processes and decision-making. Growing sections of enterprise functions are becoming data-driven, thereby increasing productivity, enhancing innovation capabilities, and lowering cycle times and risks. Digital technologies allow these tried and tested best practices to be applied to a wider range of sectors and industries. High-performance computing technologies are enabling the development of AI systems that can lower the costs of executing various operations and executing more complex operations that had previously not been automatable (Eggers et al., 2017; Bughin et al., 2019; Davenport et al., 2020).

This disintermediation effect is leading to fundamental changes in the structure and functioning of the ecosystems of industries and sectors. With the widespread penetration of mobile and sensor technologies, enterprises and other organizations are now under constant observation by their stakeholders – customers, shareholders, partners, regulators, and so forth. This opens up the potential for organizations to eliminate sections of the value chain that do not provide high value, and to focus on high value, high visibility activities that shape trust and reputation in the community. In this chapter, we explore the potential of various AI-Powered transformation initiatives that can fundamentally impact various industry and functional domains – including areas of public policy, citizen services, security and defence, financial services, large-scale manufacturing, supply chain and logistics, trading and distribution, and customer services (Mathew et al., 2023; Mathew et al., 2023; Islam et al., 2025; Khajuria, 2025).

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Published

6 June 2025

How to Cite

Dodda, A. . (2025). Artificial intelligence-powered transformation across retail, government, and enterprise institutions. In Artificial Intelligence and Financial Transformation: Unlocking the Power of Fintech, Predictive Analytics, and Public Governance in the Next Era of Economic Intelligence (pp. 245-270). Deep Science Publishing. https://doi.org/10.70593/978-81-988918-1-5_11