Artificial intelligence (AI) is rapidly transforming the banking industry. Banks are using AI to improve customer service, automate back-office processes, and enhance risk management. AI-powered chatbots and virtual assistants are helping banks provide 24/7 customer service, while AI-powered analytics are enabling banks to analyze vast amounts of data and make better decisions. In this article, we will explore the different ways in which AI is being used in banking and the benefits and challenges associated with its use. AI in Customer Service One of the most visible applications of AI in banking is in customer service. AI-powered chatbots and virtual assistants are becoming increasingly common in the industry. These chatbots and virtual assistants can respond to customer queries, offer personalized recommendations, and help customers with transactions such as account transfers and bill payments. AI-powered chatbots and virtual assistants can provide 24/7 customer service, which is particularly useful for customers who Continue reading
Modern Information Systems
Impact of Digitalization on Business Models
Digitalization has revolutionized the way businesses operate across various industries. With the advent of new technologies, businesses have been able to innovate, improve efficiency, and create new revenue streams. The impact of digitalization on business models has been significant, and in this article, we will explore the different ways in which it has impacted businesses. New Revenue Streams Digitalization has enabled businesses to create new revenue streams by opening up new markets and business models. E-commerce, for example, has allowed businesses to sell their products and services online, reaching a broader customer base than ever before. This has enabled businesses to expand their reach, increase their customer base, and generate more revenue. In addition, businesses can now offer subscription-based services, where customers pay a monthly or annual fee to access a service. This business model has been successful for companies such as Netflix and Spotify, which offer subscription-based streaming services. Continue reading
What is Agile Methodology?
Engineering methodologies required a lot of documentation thereby causing the pace of development to slow down considerably. Agile Methodologies evolved in the 1990s to significantly eliminate this bureaucratic nature of engineering methodology. It was part of developer’s reaction against “heavyweight” methods, who desired to drift away from traditional structured, bureaucratic approaches to software development and move towards more flexible development styles. They were called the ‘Agile’ or ‘Light Weight’ methods and were defined in 1974 by Edmonds in a research paper. Agile methodology is an approach to project management, typically used in software development. It refers to a group of software development methodologies based on iterative development. Requirements and solutions evolve through cooperation between self-organizing cross-functional teams, without concern for any hierarchy or team member roles. It promotes teamwork, collaboration, and process adaptability throughout the project life-cycle with increased face-to-face communication and reduced amount of written documentation. Agile methods break Continue reading
Augmented Reality (AR) – Meaning, Operation and Benefits
Augmented reality refers to the utilization of computers to modify reality, usually in order to provide additional assistance when a human user is interacting with the real environment. The real world around humans provides a wealth of information which the human user must absorb and process through their senses. The most useful and informative of all human senses is the sense of vision and a huge amount of information about the ambiance is required to be sensed as well as processed by the human visual system. Computers are useful because they can provide an overlay of information to assist with the human processing of the information which they perceive through their senses, mostly the visual sense. As an example, a human who is walking around an urban area can be provided additional information through a head mounted display which superimposes textual information about identification of buildings and other important landmarks Continue reading
Internet of Things (IoT) – Meaning, Opportunities, Security Threats and Solutions
Today technology has gotten to a level where the Internet of Things (IoT) is an unavoidable reality. Now, an average person has at least three devices connected to the internet, including a smartphone and a personal computer. These already collect significant information about individuals which are used by different systems to make their lives better. As such, with more devices, it will be possible to improve the quality of life for different people, especially when these devices are interconnected. However, what is supposed to be beneficial has the challenges that make it a risky venture. Although the Internet of Things is expected to change things for the better, it is marred with many challenges which might eventually make it disadvantageous. About the Internet of Things (IoT) The Internet of Things (IoT) refers to a network of physical objects with the ability to identify each other and interact with other devices Continue reading
Ethical, Security, Legal and Privacy Concerns of Data Mining
Data mining is a powerful new technology with great potential to help companies focus on the most important information in the data they have collected about the behavior of their customers and potential customers. It discovers information within the data that queries and reports can’t effectively reveal. The amount of raw data stored in corporate databases is exploding. From trillions of point-of-sale transactions and credit card purchases to pixel-by-pixel images of galaxies, databases are now measured in gigabytes and terabytes. Raw data by itself, however, does not provide much information. In today’s fiercely competitive business environment, companies need to rapidly turn these terabytes of raw data into significant insights into their customers and markets to guide their marketing, investment. Data mining, or knowledge discovery, is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors Continue reading