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Digital project practice for banking and fintech
New technology and changes in the regulatory framework have had a significant impact; various new players have emerged, and new business models have evolved. API-based ecosystems have become the new normal and collaboration in the financial and banking industry has reached new levels. Digital Project Practice for Banking and FinTech focuses on technology changes in the financial industry and their implications for business practice. A combination of practical experience in the field as well as academic research, the book explores a wide range of topics in the multifaceted landscape of FinTech. It examines the industry's various dimensions, implications, and potential based on academic research and practice. From project management in the digital era to the regulation and supervision of FinTech companies, the book delves into distinct aspects of this dynamic field, offering valuable insights and practical knowledge. It provides an in-depth overview of various unfolding developments and how to deal with and benefit from them. The book begins by exploring the unique challenges and opportunities project management presents in the digital era. It examines the evolving role of project management and provides strategies for effectively navigating the complexities of digital transformation initiatives. The book then covers such topics as: Financial Technology Canvas, a powerful tool for facilitating effective communication within fintech teams Process automation implementation in the financial sector and related benefits, challenges, and best practices to drive operational efficiency and enhance customer experiences Robotic process automation in financial institutions Cyptoeconomics and its potential implications for the diffusion of payment technologies The efficiency and risk factors associated with digital disruption in the banking sector. At its core, this book is about real-world practice in the digital banking industry. It is a source of different perspectives and diverse experiences from the global financial and banking industry.
Book
Bankovnictví v teorii a praxi
Spolu s nastupujícími trendy v oblastech IT, digitalizace a cloud bankingu prochází globální bankovnictví v posledních letech dynamickým vývojem. Predkládaná publikace se snaží zájemce uvést do široké problematiky bankovnictví v teoretické i praktické rovine, a to s durazem na Ceskou republiku a Evropskou unii. Jedná se o unikátní bilingvní cesko-anglické dílo vycházející z nekolikaletého výzkumu autoru v oblasti financních trhu a risk managementu. Publikace je psána srozumitelným jazykem, a tudíž je vhodná jak pro odbornou, tak i pro širší verejnost
Book
Blockchain basics : a non-technical introduction in 25 steps
In 25 concise steps, you will learn the basics of blockchain technology.No mathematical formulas, program code, or computer science jargon are used.No previous knowledge in computer science, mathematics, programming, or cryptography is required.Terminology is explained through pictures, analogies, and metaphors.
eBook
Object Bank: An Object-Level Image Representation for High-Level Visual Recognition
It is a remarkable fact that images are related to objects constituting them. In this paper, we propose to represent images by using objects appearing in them. We introduce the novel concept of object bank (OB), a high-level image representation encoding object appearance and spatial location information in images. OB represents an image based on its response to a large number of pre-trained object detectors, or ‘object filters’, blind to the testing dataset and visual recognition task. Our OB representation demonstrates promising potential in high level image recognition tasks. It significantly outperforms traditional low level image representations in image classification on various benchmark image datasets by using simple, off-the-shelf classification algorithms such as linear SVM and logistic regression. In this paper, we analyze OB in detail, explaining our design choice of OB for achieving its best potential on different types of datasets. We demonstrate that object bank is a high level representation, from which we can easily discover semantic information of unknown images. We provide guidelines for effectively applying OB to high level image recognition tasks where it could be easily compressed for efficient computation in practice and is very robust to various classifiers.
Journal Article
Solidity Programming Essentials
Solidity is a new contract-oriented programming language popular for creating smart contracts and distributed applications. Writing smart contracts targeting Ethereum and other blockchain platforms is an emerging skill. This book will enable you to write robust, secure, object-oriented contracts that extend blockchain with business functionality.
eBook
The influence of the practices of big data analytics applications on bank performance: filed study
Purpose
This paper aims to examine factors influencing the practices of big data analytics applications by commercial banks operating in Jordan and their bank performance.
Design/methodology/approach
A conceptual framework was developed in this regard based on a comprehensive literature review and the Technology–Environment–Organization (TOE) model. A quantitative approach was used, and the data was collected from 235 commercial banks’ senior and middle managers (IT, financial and marketers) using both online and paper-based questionnaires.
Findings
The results showed that the extent of the practices of big data analytics applications by commercial banks operating in Jordan is considered to be moderate (i.e. 60%). The results indicated that 61% of the variation on the practices of big data analytics applications by commercial banks could be predicated by TOE model. The organizational factors were found the most important predictors. The results also provide empirical evidence that the extent of practices of big data analytics applications has a positive influence on the bank performance. In the final section, research implications and future directions are presented.
Originality/value
This paper contributes to theory by filling a gap in the literature regarding the extent of the practices of big data analytics applications by commercial banks operating in developing countries, such as Jordan. It empirically examines the impact of the practices of big data analytics applications on bank performance.
Journal Article