Artificial intelligence (AI) and financial technology (FinTech) in Tanzania; legal and regulatory issues DOI

Abdallah Mrindoko Ally

International Journal of Law and Management, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

Purpose This paper aims to investigate the legal challenges arising from increasing integration of artificial intelligence (AI) within financial industry. It examines issues such as data privacy, cyber security, fraud and consumer protection, well ethical concerns like algorithmic bias, fairness transparency. The study explores ways create a regulatory environment that supports innovation while ensuring stability protection. also impact FinTech innovations, mobile banking block chain, on Tanzania’s landscape, providing recommendations for adapting laws better manage AI integration. Design/methodology/approach adopts doctrinal approach comparative analysis assess Tanzanian laws, identifying gaps proposing solutions. draws international frameworks applies both deductive inductive reasoning, alongside key rules statutory interpretation, including mischief rule, literal golden rule purposive approach. Key Cybercrime Act (2015), Electronic Transactions Personal Data Protection (2022) National Payments System are critically examined. Comparative with standards further highlights areas improvement opportunities harmonization. Findings revealed existing instruments in Tanzania, 2015, Transaction 2015 others, inadequate addressing specific posed by FinTech. There is significant need specialized facilitate inclusion digital economy protect consumers potential risks associated emerging technologies. has democratized access services but introduced unforeseen complexities gaps. Originality/value presents an in-depth sector. Its originality value stem its focused exploration AI’s influence FinTech, detailed practical legislative reform recommendations. discussion provides insights into local framework preparedness handle automated contracts. localized fills gap literature, offering valuable information policymakers scholars interested contributes discourse regulations adaptation

Язык: Английский

Transforming business scalability and operational flexibility with advanced cloud computing technologies DOI Creative Commons

Chinazor Prisca Amajuoyi,

Luther Kington Nwobodo,

Mayokun Daniel Adegbola

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(6), С. 1469 - 1487

Опубликована: Июнь 25, 2024

In the rapidly evolving landscape of digital transformation, cloud computing has emerged as a pivotal technology enabling businesses to achieve unparalleled scalability and operational flexibility. This review explores transformative impact advanced technologies on business operations, highlighting key innovations their implications for organizational growth efficiency. Cloud offers dynamic scalable environment where resources can be provisioned managed on-demand, allowing respond swiftly changing market conditions customer demands. By leveraging infrastructure, companies scale operations seamlessly without need significant upfront investments in physical hardware. flexibility not only reduces capital expenditure but also enhances ability innovate adapt competitive marketplace. Advanced technologies, such multi-cloud hybrid solutions, further augment by organizations optimize IT environments. Multi-cloud strategies allow distribute workloads across multiple providers, mitigating risks associated with vendor lock-in ensuring high availability redundancy. Hybrid which integrate on-premises infrastructure public private clouds, provide balanced approach managing sensitive data while benefiting from cloud. Moreover, cloud-native like containerization serverless have revolutionized application development deployment. Containers encapsulate applications dependencies, consistency different environments facilitating rapid Serverless reviews underlying developers focus solely code, thus accelerating cycle reducing overhead. The integration analytics artificial intelligence (AI) capabilities. platforms offer robust tools AI services that process vast amounts real-time, providing actionable insights predictive decision-making. empowers improve experiences, drive strategic initiatives data-driven precision. conclusion, are instrumental transforming harnessing power cloud, greater agility, cost efficiency, innovation, positioning themselves sustained advantage age. As continue evolve, potential redefine economic value will expand, making adoption critical imperative modern enterprises. Keywords: Operational Flexibility, Transforming, Business Scalability, Advanced, Computing Technologies.

Язык: Английский

Процитировано

11

Enhancing data quality through comprehensive governance: Methodologies, tools, and continuous improvement techniques DOI Creative Commons

Courage Idemudia,

Adebimpe Bolatito Ige,

Victor Ibukun Adebayo

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(7), С. 1680 - 1694

Опубликована: Июль 25, 2024

In the era of data-driven decision-making, ensuring data quality is paramount for organizations seeking to leverage their assets effectively. This paper explores comprehensive strategies enhancing through robust governance, methodologies, tools, and continuous improvement techniques. It highlights critical dimensions quality, including accuracy, completeness, consistency, timeliness, validity, uniqueness. discusses various assessment techniques, such as profiling, auditing, metrics. The also examines role cleansing, enrichment, integration, interoperability in maintaining high quality. Additionally, it provides an overview leading management evaluation criteria, best practices implementation. Finally, underscores importance monitoring, feedback loops, root cause analysis, fostering organization's culture. By adopting these strategies, can ensure reliability integrity data, improved business outcomes. Keywords: Data Quality, Governance, Profiling, Cleansing, Continuous Improvement.

Язык: Английский

Процитировано

11

Integrating renewable energy with fuel synthesis: Conceptual framework and future directions DOI Creative Commons

Darlington Eze Ekechukwu,

Gideon Oluseyi Daramola,

Omowonuola Ireoluwapo Kehinde Olanrewaju

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(6), С. 2065 - 2081

Опубликована: Июнь 25, 2024

The integration of renewable energy sources with fuel synthesis represents a transformative approach to addressing the twin challenges sustainability and climate change. This review presents conceptual framework for coupling technologies, such as solar, wind, biomass, processes produce sustainable, zero-carbon fuels. emphasizes use electricity water splitting carbon dioxide reduction, key steps in synthesizing hydrogen other synthetic highlights importance advanced catalysts enhancing efficiency selectivity these chemical reactions. Innovations nanostructured catalysts, hybrid materials, biomimetic approaches are discussed their potential significantly improve performance durability catalytic processes. Additionally, underscores role characterization techniques computational modeling understanding optimizing catalyst behavior. necessitates technical associated scaling up production from laboratory industrial levels. These include ensuring stability longevity under operational conditions, managing intermittency sources, developing robust systems capturing utilizing dioxide. Furthermore, economic viability integrated is critical, requiring cost-effective solutions that leverage earth-abundant materials optimize overall efficiency. environmental benefits integrating substantial, offering pathway reduce emissions reliance on fossil fuels using can lead closed cycle, thereby mitigating impact change contributing sustainable future. Future directions this field involve interdisciplinary research further enhance performance, develop new refine process strategies. A roadmap future development includes prioritizing areas improved design, efficient CO2 capture electrochemical photochemical systems. abstract concludes by underscoring energy-fuel integration, envisioning where practices become cornerstone global Keywords: Integrating, Renewable Energy, Fuel Synthesis, Directions, Framework.

Язык: Английский

Процитировано

8

Leveraging big data for agile transformation in technology firms: Implementation and best practices DOI Creative Commons

Bayode Dona Simpson,

E.S. Johnson,

Gbenga Sheriff Adeleke

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(6), С. 1952 - 1968

Опубликована: Июнь 13, 2024

The rapid pace of technological advancements and the increasing demand for innovation have compelled technology firms to adopt Agile methodologies, which promote flexibility, speed, customer-centric development. Concurrently, explosion Big Data has provided these with unprecedented opportunities enhance their decision-making processes, optimize operations, gain deeper insights into market customer behaviors. This review explores integration transformation in firms, emphasizing implementation strategies best practices maximize benefits both paradigms. involves shifting from traditional, linear development processes iterative incremental methodologies that facilitate continuous improvement adaptation. Data, characterized by its volume, velocity, variety, veracity, offers valuable can drive more informed strategic within frameworks. significantly product cycles, improve satisfaction, streamline operations. requires a well-defined strategy includes setting clear objectives, building robust data infrastructure, ensuring quality security. Establishing success metrics aligned business goals is crucial measuring impact initiatives. Building scalable infrastructure deploying advanced collection, storage, processing solutions handle diverse voluminous typical firms. Ensuring integrity essential deriving accurate inform processes. Integrating incorporating analytics ceremonies such as sprint planning, reviews, retrospectives. facilitates real-time feedback delivery, allowing teams respond swiftly changes products iteratively. Developing competency another critical aspect, requiring investments training, upskilling employees, hiring science talent interpret leverage effectively. Best leveraging include cultivating data-driven culture encourages literacy promotes transparency collaboration across organization. Advanced artificial intelligence (AI) play pivotal role harnessing predictive enabling proactive decision-making. Implementing visualization tools helps understand complex patterns trends, enhancing ability make decisions. An approach recommended, starting pilot projects test refine initiatives before scaling them Regularly monitoring key performance indicators (KPIs) ensures remain objectives allows timely adjustments based on results. Collaboration stakeholders, including cross-functional customers, vital are effectively integrated efforts align needs. future looks promising, emerging technologies Internet Things (IoT), blockchain, AI poised further capabilities. However, must also navigate ethical legal considerations, privacy compliance, ensure responsible use analytics. Leveraging powerful combination adaptability, insights. By adopting adhering practices, achieve significant operational efficiencies, enhanced development, improved positioning themselves sustained rapidly evolving landscape. Keywords: Transformation, Technology Firm, Practices.

Язык: Английский

Процитировано

6

Artificial intelligence (AI) and financial technology (FinTech) in Tanzania; legal and regulatory issues DOI

Abdallah Mrindoko Ally

International Journal of Law and Management, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

Purpose This paper aims to investigate the legal challenges arising from increasing integration of artificial intelligence (AI) within financial industry. It examines issues such as data privacy, cyber security, fraud and consumer protection, well ethical concerns like algorithmic bias, fairness transparency. The study explores ways create a regulatory environment that supports innovation while ensuring stability protection. also impact FinTech innovations, mobile banking block chain, on Tanzania’s landscape, providing recommendations for adapting laws better manage AI integration. Design/methodology/approach adopts doctrinal approach comparative analysis assess Tanzanian laws, identifying gaps proposing solutions. draws international frameworks applies both deductive inductive reasoning, alongside key rules statutory interpretation, including mischief rule, literal golden rule purposive approach. Key Cybercrime Act (2015), Electronic Transactions Personal Data Protection (2022) National Payments System are critically examined. Comparative with standards further highlights areas improvement opportunities harmonization. Findings revealed existing instruments in Tanzania, 2015, Transaction 2015 others, inadequate addressing specific posed by FinTech. There is significant need specialized facilitate inclusion digital economy protect consumers potential risks associated emerging technologies. has democratized access services but introduced unforeseen complexities gaps. Originality/value presents an in-depth sector. Its originality value stem its focused exploration AI’s influence FinTech, detailed practical legislative reform recommendations. discussion provides insights into local framework preparedness handle automated contracts. localized fills gap literature, offering valuable information policymakers scholars interested contributes discourse regulations adaptation

Язык: Английский

Процитировано

0