Innovative directions of digital business development using Artificial intelligence: foreign experience of fintech companies (2024)

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Hyperautomation is a business-driven approach, conceptualized in 2019 by Gartner Inc., that combines various technologies such as Artificial Intelligence (AI), Robotic Process Automation (RPA) and integrated platforms as a service (iPaas) with the aim of making business processes more efficient by substituting human intervention. Among these, implementations of AI within business services use technologies like Natural Language Processing, Voice and Image Recognition, Virtual Agents, Machine Learning or Deep Learning platforms. Acknowledging this reality, we are interested in developing answers to the following research questions: (1) What are the main categories of business services which integrate specific AI tools? (2) What are the transformed business processes and their operations provided by AI tools? (3) What are the benefits related to AI integrated tools? For this triadic purpose, a systematic literature review on the implementation of Artificial Intelligence in the field of...

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Azman Mohd Noor

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THE RELEVANCE OF ADVANCING TECHNOLOGY AND ARTIFICIAL INTELLIGENCE IN BUSINESS CONTEXT

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AI's Role in Making Space Tourism More Sustainable: Applying Mixed Methods to Compare on-Earth, Sub-orbital, and Orbital Space Tourism

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Myung Ja Kim

Space tourism is a growing industry sector that faces challenges of cost, risk, environmental impact, and sustainability. However, few studies address space tourism in an Asian culture, particularly in the context of artificial intelligence (AI), which is an increasingly significant topic both in the tourism sector and in society overall. To address the research gap, this work establishes an analytical framework which contrasts three varieties of space tourism using partial least squares, multi-group analysis, and fuzzy-set Qualitative Comparative Analysis. It surveyed 1,000 prospective space travelers from South Korean who are eager to take part in space tourism to examine AI's role in enhancing sustainable space tourism. Findings indicate that recognizing AI benefits are crucial for sustainable on-Earth, sub-orbital, and orbital space tourism, particularly the latter. The study offers both conceptual and applied knowledge to enhance the sustainability of space tourism.

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Artificial Intelligence: A Revolution in the Banking Industry in India

International Journal For Multidisciplinary Research

Shantilal Jadhav

The banking sector is only one of the many areas that artificial intelligence (AI) has the potential to completely alter. In India, the banking sector has adopted AI at a rapid rate in recent years, resulting in increased productivity, better decision-making, and more customer satisfaction. This study looks at how AI has affected the Indian banking sector, as well as its existing uses, difficulties, and potential. This article demonstrates the potential for AI to transform the financial landscape in India through a thorough study of current developments and case studies, and it establishes the foundation for further research and innovation in this field.

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MARKET ENTRY FORM CHOICES OF MULTI-SIDED PLATFORMS IN THE EVENT MANAGEMENT AND TICKETING INDUSTRY

16th Annual Conference of the EuroMed Academy of Business, 2023

Michael Neubert

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Ronnie Figueiredo

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Kerem Toker

As our planet moves towards the middle of the 21st century, it faces a dizzying digital transformation process. This transformation brings along with it unique and innovative solutions to numerous social, organizational, and managerial issues. The most tangible of these solutions so far is the vision of Society 5.0 announced by the Japanese government in 2016. Within this scope, the purpose of this chapter is to develop conceptual insight into the reasons for the emergence, components, and goals of Society 5.0. Up-to-date research and current reports on the topic have been examined in this context, and a conceptual framework is formed. The findings show that many digital tools of Society 5.0 are already used in economies, but policymakers discuss these tools' human-centered reuse. As a result, a positive futuristic perspective has been drawn that humanity will continue its life on a more habitable planet for decades to come and unite digital and physical space.

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CHAPTER -17 A Study on AI Application in Travel and Tourism Industry

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Digitalization, Emerging Technologies, and Financial Stability: Challenges and Opportunities for the Indonesian Banking Industry and Beyond

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One of the challenges financial institutions is how to adapt to a changing business environment, increasingly demanding and differentiated customer preferences, digitalization and technological change. Using a documentary analysis approach, the article navigates the ramifications of API based open banking, Block Chain Technology (BCT) and entrance of Fintechs, Bigtechnology companies (Bigtechs) and Telecommunications companies (Telcos on the performance of general banking sector and financial system stability. Results underscore the role of digitalization revolution and ICT in fundamentally changing the financial service development and delivery, by empowering ICT savvy non-financial institutions including financial technology companies (Fintechs), TELCOS, and Bigtechs to become players in the industry; enhancement of financial inclusion thanks; reduction in transaction costs; and inducing traditional banks to adopt new business models that leverage Big Data and data analytics appro...

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Sypar Whitepaper V. 1.0, 2024

Diogo Pereira Coelho

Co-authored with Alberto José Figueiredo, this comprehensive whitepaper serves as a guide, shedding light on Sypar's core vision, diverse services areas, and its commitment to education within the dynamic realms of the Digital and Artificial Era. The whitepaper transcends the traditional confines of corporate documentation and aims to become a crucial tool for understanding the impending digital and artificial transition, emphasizing the importance of financial, digital, and technological literacy in our evolving landscape. Recognizing the preponderant role these literacies play in people's lives, we take on the crucial task of not only elucidating its service areas with evidence-based scientific information but also contributing to the broader understanding of this dynamic ecosystem. The essence of Sypar's contribution lies not just in what we offer but in fostering a deep comprehension of the intricate web of technologies that will shape the years to come. From the evolution of internet to the emergence of the decentralized technologies (FinTech, DeFi, DeFi DAOs, blockchain, digital assets, etc.), metaverse (XR, digital twins, 3Dmodeling, etc.), AI (GPAI, FMs, LLMs, NLP, GenAI, computer vision, predictive analysis), and beyond, this whitepaper also adressess data & big data, cloud, edge & spatial computing, internetofthings (IoT), smartcities, brain-computer interfaces (BCIs), quantum technologies, robotics, autonomous systems & intelligent automation, and more. This holistic approach reflects our commitment to providing cutting-edge services in response to the evolving needs.

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Future Ready Banking with Smart Contracts - CBDC and Impact on the Indian Economy

International Journal of Network Security & Its Applications

Pawankumar Sharma

India is significantly diverse in culture and how it promotes business transactions. Though we are very acquainted with cash, cards, and online mode of payment, the Indian rural economy still believes in the barter system. At this juncture, India is evolving as a tech power house, and its economy is thriving to embrace cryptocurrency as a medium of exchange. After the Indian finance minister declared the same last February that India is working towards building its legal tender called Central Bank-backed Digital Currency (CBDC), this paper is making an impact in explaining our strengths, weakness, market readiness, and necessity to adopt a digital rupee when India's economy is highly regarded as a cashoriented economy. Is our country ready to accept the new technological shift in smart banking in the form of a digital rupee? The paper highlights the socioeconomic and technical challenges our planners need to understand before changing the Central banks' monetary policies. Th...

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Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

arXiv (Cornell University), 2023

Deepti Raj

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IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON THE ECONOMY, POLITICS, ECOSYSTEM, INNOVATION, AND PROMOTING INCLUSIVE WORKFORCE FRAMEWORKS -A THEORETICAL ANALYSIS

Science, Technology and Development, 2024

Dr. G. YOGANANDHAM

Artificial Intelligence (AI) is transforming the way people work and live, however it also brings with it challenges like unemployment and societal instability. The global economy might benefit by $13 trillion from artificial intelligence by 2030, but 375 million jobs could be destroyed. The workplace could be one of the many areas of life where AI will bring about a revolution. It can streamline processes, save costs, and enhance decision-making. As a way to improve customer happiness, AI can also examine data for predictive analytics. It can lower construction and manufacturing accidents and generate new employment opportunities in data science, machine learning, and AI education. Workplace AI raises ethical concerns about racial bias, privacy, security, and democracy. While some argue it could lead to robotic employment, debate surrounds its potential for innovative work, new career opportunities, and enhanced judgment. In order to enhance patient experiences, detect ailments, and lessen blindness, India is utilizing AI in healthcare. India is the G20 leader in funding for computer vision, recommendation systems, and machine learning, with an average annual growth rate of 86% since 2011. The national AI plan for India aims to boost infrastructure development, workforce retraining, research, collaboration, and international cooperation on AI safety and security. It promotes responsible AI development, inclusive workplaces, and the balance of privacy interests while fostering data access, openness, and collaboration among educational institutions. India has a high acceptance rate for artificial intelligence notwithstanding any potential differences. This paper explores the effects of AI on 54% of computerization, emphasizing its potential to affect policy, income inequality, and employment growth. It also highlights a macroeconomic theoretical analysis of the technology. It emphasizes its important social and historical effect on the economy, politics, ecosystem, innovation, and promoting inclusive workforce frameworks. According to this point of view, the current situation is both socially and historically significant, as well as critically important.

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THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING FINANCIAL DATA SECURITY

IAEME PUBLICATION, 2024

IAEME Publication

Artificial Intelligence (AI) has emerged as a transformative force in enhancing financial data security, offering advanced capabilities to detect, mitigate, and prevent cyber threats in the digital age. This paper explores the integration of AI technologies within the financial sector, focusing on its applications in predictive security analytics, automated threat detection, and regulatory compliance. Key topics include the fundamentals of AI in cybersecurity, challenges in securing financial data, and ethical considerations in AI deployment. Future trends such as quantum-resistant cryptography, autonomous security operations, and the evolution of ethical AI governance are also discussed. By examining current practices, emerging trends, and regulatory frameworks, this research highlights AI's pivotal role in fortifying financial data defenses and shaping the future of cybersecurity strategies. Embracing AI-driven innovations responsibly promises to strengthen resilience against evolving threats while maintaining trust, compliance, and operational efficiency in financial ecosystems.

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An Analytical review on the Impact of Artificial Intelligence on the Business Industry: Applications, Trends, and Challenges

IEEE Engineering Management Review, 2024

Kuldeep Gurjar, Anshika Jangra

The integration of artificial intelligence (AI) in business processes has revolutionized many industries by automating tasks, improving decision-making processes, and enhancing customer experiences. This review paper examines the impact of AI in business areas, including its applications, challenges, limitations, current trends, and future work. The paper begins with defining the importance of AI in business, followed by an overview of its applications in various sectors such as customer service, marketing, finance, healthcare, manufacturing, logistics, and human resources. The advantages and benefits of AI implementation are explored, along with examples of successful AI implementation and changes in business processes. The challenges and limitations of AI technology, such as ethical concerns, data privacy and security issues, technical expertise and knowledge, and high implementation costs, are explained. Current trends in AI integration, such as the integration of AI with other technologies, the growing demand for AI skills, and the development of more advanced and sophisticated AI algorithms, are presented.

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Digital Transformation of World Finance

darina saxunova

The boundary between the physical and a virtual world is not clearly visible nowadays, the 4.0 industry utilizes artificial intelligence, distributed ledger technology, quantum computing, advanced visualization and other advanced technologies. The surge of capital flows in financial technology is visible wherever we look. Classical businesses face a challenge to connect and create partners with the companies that are technology savvy because this may impact their future success. The strategy for digital business must be thought over very thoroughly since it represents the success threshold in contemporary digital environment. The classic banking system faces the threat or opportunity of an open banking system and banks are forced to be prepared to offer next generation services benefiting from third party channels. The short history on the banking industry including digital banking along, with fintech as a financial institution showing its power to compete sophistically, will shift ...

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Islamic Economic Development in the Context of Islamic Tax: A Literature Review

Springer, 2024

AHMAD S Y A F I Q YUSOF

An important factor in a nation's development is its economy. Islam places a strong emphasis on the necessity to gather resources in order to propel the economy towards prosperity and advancement. Islamic economics is a system founded on the Hadith and the Quran that strikes a balance between material and spiritual requirements. Islamic economics has tax systems like ji*zyah, kharaj, and ushur that, when correctly implemented by the government, can improve economic conditions. However, taxation in Islam has not received full attention. This literature review focuses on examining previous studies on taxation in Islam and evaluating the strengths and weaknesses of past research. The study adopts a library research approach and is based on a literature review. With this study, it is hoped to assist the Malaysian government in formulating a clearer and Sharia-compliant tax system in Malaysia that is undoubtedly perfect and fair for all Malaysian citizens.

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Innovative directions of digital business development using Artificial intelligence: foreign experience of fintech companies (2024)

FAQs

How is artificial intelligence used in Fintech? ›

AI in finance is used for personalized customer service, fraud detection, investment predictions, and automating financial processes, like credit scoring.

What is digital transformation in Fintech? ›

What is Fintech Digital Transformation? Digital transformation of financial services is integrating cutting-edge technology into financial services to enhance effectiveness, security, and customer experience.

How are AI and Fintech changing the business landscape? ›

Incorporating AI into Fintech infrastructure has markedly increased efficiency while driving down operational costs. Tasks like manual data entry or traditional banking activities that require workforce hours can now be professionally executed by AI-automated solutions.

What are the challenges of AI in Fintech? ›

The challenges of AI in the FinTech industry are regulatory compliance, data privacy concerns, algorithm bias, cybersecurity risks, and talent shortage.

What are the top fintech companies? ›

Largest Fintech Companies by Market Valuation
RankingsNameType of company
1VisaPaytech
2MastercardPaytech
3IntuitAccounting
4FiservOpen Banking
58 more rows

What is the role of artificial intelligence in financial services? ›

How is AI used in finance? AI in finance can help in five general areas: personalize services and products, create opportunities, manage risk and fraud, enable transparency and compliance, and automate operations and reduce costs.

What are the 5 pillars of digital transformation? ›

5 Pillars of Successful Digital Transformation
  • People.
  • Technology.
  • Culture of Change.
  • Sense of Community.
  • Continuity (understanding DT is a journey)

What are key areas of digital transformation in financial services? ›

Digital transformation in the financial services space means integrating modern technologies into institutions. It changes how these companies operate, serve customers, and empower employees. The goal is to improve efficiency, productivity, and experience.

How to use AI to transform your business? ›

From operations and sales to marketing and customer service, in this section we'll explore some of the key AI use cases in business.
  1. Conduct data analysis predictive sales forecasting.
  2. Automate tedious administrative tasks.
  3. Improve customer service and boost customer lifetime value.
  4. Upgrade your corporate marketing efforts.

How AI will change the future of business? ›

AI is projected to manage 85% of business relationships with customers in 2024. Through the lens of cutting-edge analytics, AI will delicately refine customer relationships, crafting personalized interactions rooted in individual tastes and actions. However, these are more than just predictions.

How Fintech is shaping the future? ›

Fintech is also transforming regulatory compliance through RegTech solutions, which use technology to help companies comply with regulations more efficiently and at lower costs. These solutions include automated reporting, real-time monitoring, and risk management tools, enhancing the regulatory framework.

When not to use AI in fintech? ›

But before you go implementing a new AI solution into your fintech product, consider the known challenges first. Data security, bias, exclusivity and a flawed user experience are major risk factors. Some put your end users' data and financials at risk, while others could hurt your brand.

How to use AI in fintech? ›

AI allows financial institutions to automate their routine tasks, significantly reducing the workload on human employees. For instance, Robotic Process Automation (RPA), a form of AI, automates repetitive tasks such as data entry and email processing, leading to substantial cost savings and increased efficiency.

What is the biggest challenge to the fintech industry? ›

User retention and user experience

Keeping users engaged is one of the most common fintech challenges. Low retention means fewer users, resulting in reduced income. Increasing user retention is possible by providing a better experience.

What are the ethics of AI in fintech? ›

Ethical AI in fintech aims to balance cutting-edge innovation for customers with inclusiveness, fairness, and accountability. This means testing for bias, allowing user visibility into model logic, and having human oversight on AI programs that influence finances.

How is AI used in the tech industry? ›

AI plays a multifaceted role in the IT industry. It serves as a tool for automating routine tasks, enhancing cybersecurity, optimizing IT operations, and providing data-driven insights. AI technologies are being integrated into software development, IT infrastructure management, data analysis, and more.

Is AI and big data in fintech? ›

Here are some ways AI and big data are impacting the financial world: Risk Management and Fraud Detection: AI can identify patterns of fraudulent activities by analyzing vast datasets. This method has proven more effective than traditional methods in thwarting fraud attempts.

How is AI used in financial analysis? ›

AI can help make financial modeling and forecasting much quicker and easier, allowing you to make adjustments on the fly, use natural language to build complex reports and even have AI identify trends, risks and opportunities that you might miss.

References

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