EconPapers    
Economics at your fingertips  
 

I-FinTech and Its Value Proposition for Islamic Asset and Wealth Management

Hazik Mohamed ()
Additional contact information
Hazik Mohamed: Stellar Consulting Group

Chapter Chapter 14 in Islamic FinTech, 2021, pp 249-266 from Springer

Abstract: Abstract Artificial Intelligence (AI) is a highly evolved area of computer science that strives to create intelligent machines that can replicate certain human behaviour without its irrationalities for better predictability and consistency. Advanced AI that utilizes machine learning makes it possible for machines to learn from previous data (experience), adjust to new inputs (instructions) and perform tasks through updated algorithms. Through sophisticated algorithms, modern AI systems can be trained to accomplish specific tasks by processing large amounts of data, obtaining insights and recognizable patterns in the data to act upon. As such AI has become a hot topic, with much interest on its advantages to the highly regulated financial services industry. Similarly, blockchain technology also has the potential to both enrich and improve financial processes and asset management systems, and progressive corporations have invested and devoted resources to utilize and incorporate blockchain into their businesses. The use of distributed ledgers or blockchain has been explored in areas such as compliance and securities settlement, and these technologies could also be used to improve efficiencies in asset management. In this chapter, we provide a short discussion of AI and blockchain applications in asset management and understand the benefits and the shift in processes, as well as the challenges that need to be overcome for practical applications for AI and blockchain and how to approach such innovations.

Keywords: Islamic; FinTech; Value; Asset; Wealth; Management (search for similar items in EconPapers)
Date: 2021
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:sprchp:978-3-030-45827-0_14

Ordering information: This item can be ordered from
http://www.springer.com/9783030458270

DOI: 10.1007/978-3-030-45827-0_14

Access Statistics for this chapter

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

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-030-45827-0_14