AI-Driven DeFi: Catalyzing Innovation A Cosmic Partnership Shaping Finance's Tomorrow

Garima Agarwal () and Preshni Shrivastava
Additional contact information
Garima Agarwal: Amity University
Preshni Shrivastava: IMM

A chapter in New Paradigms of Business Management in the Era of Analytics, Sustainability and Innovation, 2025, pp 113-129 from Springer

Abstract: Abstract The financial technology realm stands at the forefront of perpetual transformation, basking in widespread acclaim owing to the unending advancement of technology and the widespread acceptance of digital tools. This revolution finds its impetus in the harmonious convergence of innovative and futuristic technologies such as Block chain, cloud computing, data analytics, and artificial intelligence (AI). The financial technology (FinTech) sector is rapidly evolving alongside advancements in modern technology. Blockchain, cloud computing, data analytics, and artificial intelligence (AI) are revolutionizing traditional financial services and offering new solutions including peer-to-peer lending, mobile payment platforms, robo advisers, and decentralized financing (DeFi) applications. This study examines the inteplay between AI and DeFi and offers possible strategies for FinTech companies to manage the associated risks and challenges of these digital technologies. It investigates means to enhance the efficiency, security, and accessibility of decentralized financial systems. The paper examines the prospect of artificial intelligence in optimizing DeFi protocols, risk management, and process of decision-making based on present research and industry practices.

Keywords: Decentralized Finance (DeFi); AI; FinTech; Cloud computing; Smart contracts; Blockchain; Cryptocurrency; Decentralization (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-981-97-7030-4_8

Ordering information: This item can be ordered from
http://www.springer.com/9789819770304

DOI: 10.1007/978-981-97-7030-4_8

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().