DIGITAL TRANSFORMATION IN BANKING: LEVERAGING BIG DATA AND AI PDF Download
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Author: Kaushikkumar Patel
Publisher: Xoffencerpublication
ISBN: 8119534743
Category : Business & Economics
Languages : en
Pages : 231
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Book Description
There was a time when the banking business was differentiated by its traditional brick-andmortar operations; but, in the present day, it is at the forefront of digital innovation. It has become clearly clear that the moment for digital transformation in banking is certainly now. This is because the expectations of consumers continue to rise continuously, and the need for experiences that are both seamless and customised continues to grow. Through the use of cutting-edge technology and solutions that are centred on the user, financial institutions are able to enhance the services they offer, streamline their processes, and preserve their competitive advantage in an environment that is continually evolving. In addition to this, the emergence of disruptive fintech companies that are challenging the status quo is another aspect that is contributing to the growing need of adopting digital tactics. This is in addition to the fact that it is essential to provide services to customers who are wellversed in contemporary technological developments. During the fiscal year 2022, mid-size banks and credit unions raised their investments in digital transformation by more than fifty percent, reaching roughly four hundred and twentyfive thousand dollars for every one billion dollars in assets, according to a research that was just published by Alkami. This is an increase from the average of slightly more than $200,000 per $1 billion in assets for the fiscal year 2021, and it is only projected that this trend will continue to climb in the fiscal year 2023. This shows an increase from the previous year. In order for financial institutions to continue to provide their customers value, convenience, and safety in the 21st century, it is essential for them to take substantial steps in the process of modernising their operations as we go deeper into the age of digital banking. This will guarantee that they continue to provide their customers with these benefits.
Author: Kaushikkumar Patel
Publisher: Xoffencerpublication
ISBN: 8119534743
Category : Business & Economics
Languages : en
Pages : 231
Get Book Here
Book Description
There was a time when the banking business was differentiated by its traditional brick-andmortar operations; but, in the present day, it is at the forefront of digital innovation. It has become clearly clear that the moment for digital transformation in banking is certainly now. This is because the expectations of consumers continue to rise continuously, and the need for experiences that are both seamless and customised continues to grow. Through the use of cutting-edge technology and solutions that are centred on the user, financial institutions are able to enhance the services they offer, streamline their processes, and preserve their competitive advantage in an environment that is continually evolving. In addition to this, the emergence of disruptive fintech companies that are challenging the status quo is another aspect that is contributing to the growing need of adopting digital tactics. This is in addition to the fact that it is essential to provide services to customers who are wellversed in contemporary technological developments. During the fiscal year 2022, mid-size banks and credit unions raised their investments in digital transformation by more than fifty percent, reaching roughly four hundred and twentyfive thousand dollars for every one billion dollars in assets, according to a research that was just published by Alkami. This is an increase from the average of slightly more than $200,000 per $1 billion in assets for the fiscal year 2021, and it is only projected that this trend will continue to climb in the fiscal year 2023. This shows an increase from the previous year. In order for financial institutions to continue to provide their customers value, convenience, and safety in the 21st century, it is essential for them to take substantial steps in the process of modernising their operations as we go deeper into the age of digital banking. This will guarantee that they continue to provide their customers with these benefits.
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Author: Introbooks
Publisher:
ISBN:
Category :
Languages : en
Pages : 50
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Book Description
In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, "In a world focused on using AI in new ways, we're focused on using it wisely and responsibly."
Author: Hany Abou-El-Fotouh
Publisher: eBookIt.com
ISBN: 1456655531
Category : Business & Economics
Languages : en
Pages : 130
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Book Description
Discover the Future of Banking: Embrace the Digital Revolution Dive into an era where banking isn't just about brick-and-mortar branches but a seamless, digital experience that transcends traditional boundaries. In Banking Beyond Branches: The Digital Transformation of Banking, uncover the groundbreaking trends and technological advancements that are reshaping the financial landscape. Imagine a world where artificial intelligence, blockchain, cloud computing, and big data seamlessly integrate to create a more efficient, secure, and customer-friendly banking system. This book explores how these technologies are not only transforming banking operations but also revolutionizing job roles, demanding new skills, and fostering a culture of adaptability and innovation. From the implications of AI on banking jobs to the revolution of transactions through blockchain, every chapter is packed with insights and real-world applications. Learn how cloud computing enhances efficiency, while big data drives critical decision-making processes. Discover the evolution of job roles as automation takes center stage and digitization paves the way for new skills. Understand the necessity of digital literacy, data analysis, problem-solving, and adaptability in the future workforce. Explore vivid case studies and examples from global banks, including significant adaptations in the MENA region. Witness firsthand how customer service, risk management, and fraud detection benefit from AI applications. Delve into the power of blockchain in smart contracts and cross-border payments, and see how cloud computing ensures data security and scalability. Understand the importance of offering personalized services and an omnichannel experience through big data utilization. Prepare for the regulatory challenges and opportunities that lie ahead. This book not only paints a vivid picture of today's digital banking transformation but also offers a compelling forecast for the future, equipping professionals with the knowledge to navigate the evolving landscape. Whether you're a banking professional, tech enthusiast, or just curious about the future of finance, this book is your ultimate guide to understanding and embracing the digital revolution in banking.
Author: IEEE Staff
Publisher:
ISBN: 9781728126289
Category :
Languages : en
Pages :
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Book Description
The IIAI AAI 2019 (International congress on Advanced Applied Informatics) mainly focuses on the computer applications shown at section J in the FOI list 30 40 of presentations are included in Software Software Engineering, Data, and Information Technology and Systems IIAI AAI do not accept the relevant papers on our policy
Author: John Soldatos
Publisher: Springer Nature
ISBN: 3030945901
Category : Artificial intelligence
Languages : en
Pages : 371
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Book Description
This open access book presents how cutting-edge digital technologies like Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTechs, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also introduces some of the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance. Introduces the latest advances in Big Data and AI in Digital Finance that enable scalable, effective, and real-time analytics; Explains the merits of Blockchain technology in digital finance, including applications beyond the blockbuster cryptocurrencies; Presents practical applications of cutting edge digital technologies in the digital finance sector; Illustrates the regulatory environment of the financial sector and presents technical solutions that boost compliance to applicable regulations; This book is open access, which means that you have free and unlimited access.
Author: Prof Florinda Matos
Publisher: Academic Conferences and publishing limited
ISBN: 1914587235
Category : Computers
Languages : en
Pages :
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Book Description
Author: OECD
Publisher: OECD Publishing
ISBN: 9264752412
Category :
Languages : en
Pages : 233
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Book Description
This report explores how governments in Latin America and the Caribbean can use digital technology and data to foster responsiveness, resilience and proactiveness in the public sector.
Author: Claudio Scardovi
Publisher: Springer
ISBN: 3319669451
Category : Business & Economics
Languages : en
Pages : 242
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Book Description
This book analyzes the set of forces driving the global financial system toward a period of radical transformation and explores the transformational challenges that lie ahead for global and regional or local banks and other financial intermediaries. It is explained how these challenges derive from the newly emerging post-crisis structure of the market and from shadow and digital players across all banking operations. Detailed attention is focused on the impacts of digitalization on the main functions of the financial system, and particularly the banking sector. The author elaborates how an alternative model of banking will enable banks to predict, understand, navigate, and change the external ecosystem in which they compete. The five critical components of this model are data and information mastering; effective use of applied analytics; interconnectivity and “junction playing”; development of new business solutions; and trust and credibility assurance. The analysis is supported by a number of informative case studies. The book will be of interest especially to top and middle managers and employees of banks and financial institutions but also to FinTech players and their advisers and others.
Author: Bahaaeddin A. M. Alareeni
Publisher: Springer Nature
ISBN: 3031391586
Category : Technology & Engineering
Languages : en
Pages : 981
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Book Description
Artificial intelligence (AI) has the potential to significantly improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making, making it an increasingly important tool for financial professionals. One way that AI can improve efficiency in finance is by automating tasks and processes that are time-consuming and repetitive for humans. For example, AI algorithms can be used to analyze and process large amounts of data, such as financial statements and market data, in a fraction of the time that it would take a human to do so. This can allow financial professionals to focus on higher-value tasks, such as interpreting data and making strategic decisions, rather than being bogged down by mundane tasks. AI can also reduce costs in finance by increasing automation and eliminating the need for certain tasks to be performed manually. This can result in cost savings for financial institutions, which can then be passed on to customers in the form of lower fees or better services. AI can be used to identify unusual patterns of activity that may indicate fraudulent behavior. This can help financial institutions reduce losses from fraud and improve customer security. AI-powered chatbots and virtual assistants can help financial institutions provide faster, more efficient customer service, particularly when it comes to answering common questions and handling routine tasks. Some financial institutions are using AI to analyze market data and make trades in real-time. AI-powered trading algorithms can potentially make faster and more accurate trading decisions than humans. In terms of speed and accuracy, AI algorithms can analyze data and make decisions much faster than humans, and can do so with a high degree of accuracy. This can be particularly useful in fast-moving financial markets, where quick and accurate decision-making can be the difference between success and failure. This book highlights how AI in finance can improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making. Moreover, the book also focuses on how to ensure the responsible and ethical use of AI in finance. This book is a valuable resource for students, scholars, academicians, researchers, professionals, executives, government agencies, and policymakers interested in exploring the role of artificial intelligence (AI) in finance. Its goal is to provide a comprehensive overview of the latest research and knowledge in this area, and to stimulate further inquiry and exploration.
