scholarly journals Artificial Intelligence – A Revolutionizing Factor in E-Commerce

2020 ◽  
Vol 06 (9S) ◽  
pp. 14-19
Author(s):  
Prof. Saravanan K and Pooja Shri K
Keyword(s):  
Artificial Intelligence ◽  
Customer Service ◽  
Time Saving ◽  
Effective Utilization ◽  
Intelligence Services ◽  
Trend Forecasting ◽  
Financial Decision ◽  
Customer Services ◽  
Using Data ◽  
Near Future

The future of industries is currently more dependent upon its presence on online platforms. This online presence not only visualizes, promotes, or advertises your brand but also helps in gaining huge customers. Also, customers are now gradually turning their interests towards online shopping which are easier, time-saving, and more personalized compared to the conventional practice of visiting physical stores. So one of the most popularizing and crucial tools used by e-commerce brands to attract people is through their artificial intelligence services. AI is constantly changing and updating the world of e-commerce in terms of its customer service and experience. Effective utilization of AI can aid in identifying concealed insights, trend forecasting, and beneficial financial decision making. AI has influenced the traditional way of replenishment and merchandising by simply using data analytics to indicate which product has to be replenished and which has to be discounted. According to a recent report of "Business Insider" predicts that about 85% of the customer services will be handled by AI-powered bots which can immediately respond to calls, chats, and emails with almost no human intervention. This paper encompasses the various AI tools empowered by the e-retail brands to attract their customers, the various ways by which AI influences both the retailer and the customer, and successful e-retail brands that employed AI for their advancement. In addition to this, the paper discusses how AI is going to dominate the e-commerce venture in the near future.

Is Customer Service Deteriorating in the Indian Banking Industry?

1990 ◽  
Vol 15 (3) ◽  
pp. 23-30 ◽  
Author(s):  
Biswa N Bhattacharyay
Keyword(s):  
Customer Service ◽  
Banking Industry ◽  
Field Surveys ◽  
Bank Management ◽  
Customer Services ◽  
Using Data

The Indian banking industry has been criticised for its growing indifference towards customer concerns. This criticism has been particularly pronounced after the nationalization of banks in 1969. The question, therefore, is one of examining whether customer service in the banking industry is really deteriorating. In this article, Biswa N Bhattacharyay investigates this question using data from two field surveys conducted by the National Institute of Bank Management in 1974 and 1984. He comes to the conclusion that an unqualified assertion that customer services have deteriorated in the banking industry in the post nationalization phase is empirically untenable.

scholarly journals Integration of Artificial Intelligence Technology Towards E-Services Among Online Clothing Websites

2019 ◽  
Vol 9 (2) ◽  
pp. 1562-1567
Keyword(s):  
Artificial Intelligence ◽  
Customer Satisfaction ◽  
Customer Service ◽  
Tamil Nadu ◽  
Customer Relationship ◽  
Snowball Sampling ◽  
Customer Experience Management ◽  
Intelligence Services ◽  
Artificial Intelligence Technology ◽  
Tamil Nadu State

Online Apparel Industry is one of the growing industries among many other online markets. The industry is moving towards a major technological shift due to new and innovative tools such as Artificial Intelligence (AI), Virtual Reality (VR) and Augmented Reality (AR). Customer Experience Management is highly influenced by gaining customer satisfaction via integrated AI technology for providing efficient customer service. This study emphasizes the intervention of AI technology with online clothing websites such as Jabong and Myntra. The findings explore that Customer Relationship Management (CRM) Services, Personalization services, Visual Assistance and Fit Intelligence Services are enhanced from AI tools that lead to Customer Satisfaction and Customer Retention. The research utilized non-probability Judgmental Sampling and snowball sampling where the respondents belong to Tamil Nadu State and were genuine online customers who purchase clothes from online clothing websites

Enhancing Customer Service Using Chatbot Application Through Artificial Intelligence

2020 ◽  
Vol 17 (4) ◽  
pp. 1633-1637
Author(s):  
M. Prabu ◽  
T. Sai Tarun ◽  
A. Shereef Naina Mohamed ◽  
A. Vijay
Keyword(s):  
Artificial Intelligence ◽  
Customer Service ◽  
Service Sector ◽  
Customer Relationship ◽  
Customer Interaction ◽  
Customer Services

In every service based or product based company customer services is considered to be an important sector to maintain customer relationship. This sector also consumes a lot of resources from the company both labor wise and money wise. In this sector the usage of resources are high due to the demand in the sector, A good company is defined how good is their customer service, Today most of the companies lack a good customer interaction, Hence to ease this process of customer services in this paper we propose to use A.I chatbot in the customer service sector. The result will be faster and more optimal customer service solutions.

scholarly journals Free movement of data in the European Union: opportunity or big challenge in a use of artificial intelligence?

2020 ◽  
pp. 29-39
Author(s):  
Ineta Breskienė
Keyword(s):  
Artificial Intelligence ◽  
European Union ◽  
Personal Data ◽  
Free Movement ◽  
The European Union ◽  
Regulatory Changes ◽  
Artificial Intelligence Technology ◽  
Using Data ◽  
Near Future ◽  
Made In

This article analyses the current situation in the European Union related to the free movement of data, relationship between personal data, non – personal data and their use in artificial intelligence technology. Despite the European Union’s efforts to facilitate the free movement of data, some relevant obstacles are currently being observed. Artificial intelligence technology faces difficulties in using data. Despite the fact that large amounts of data are now increasingly accessible to such technology, its ability to de-anonymize data poses risks of turning simple data into personal data and making its use a challenge for artificial intelligence developers. The issues raised are sensitive and some regulatory changes should be made in the near future in order for the European Union to remain a leader in emerging technologies.

scholarly journals A Survey of Chatbot creation tools for non-coder

2020 ◽  
Author(s):  
Asia Hamdan Al-Sinani ◽  
Bayan Said Al-Saidi
Keyword(s):  
Artificial Intelligence ◽  
Natural Language ◽  
Open Source ◽  
Customer Service ◽  
Operating Systems ◽  
Human Life ◽  
Low Cost ◽  
Customer Services

Chatbot is a natural language conversation which is considered a major revolution in customer service automation. Chatbot is an application of artificial intelligence that has a big role in saving time and effort by automating different aspect of human life. AI framework has several tools that help the non-coder to develop the Chabot for the organization.  The Chatbot becomes good solution for many organizations to communicate with their customers and to increase their productivity by serving the customers for 24x7.  This will help the organization to achieve customer services with low cost. This paper give glimpses on different AI framework tools, a survey is conducted to facilitate the non-coder to select the tools from the array of open source and proprietary tools.  There are a lot of open source tools, each one has different features. Additionally, some of them are useful for coder and others do not require any coding experience also they are capable to be used in different devices with different operating systems. The flexibility that is within using tools to develop the Chatbot without coding knowledge and integrated in different platform is attractive concept for each one.  Thereby this survey will help the non-coder to develop the Chabot without undergoing to learn the programming aspect of developing the Chatbot

scholarly journals Artificial Intelligence: The Attitude of the Public and Representatives of Various Industries

2021 ◽  
Vol 14 (8) ◽  
pp. 339
Author(s):  
Tatjana Vasiljeva ◽  
Ilmars Kreituss ◽  
Ilze Lulle
Keyword(s):  
Artificial Intelligence ◽  
Primary Data ◽  
Structured Interviews ◽  
The Public ◽  
Qualitative And Quantitative ◽  
Public Survey ◽  
Significant Difference ◽  
Main Factors ◽  
Negative Factors ◽  
Near Future

This paper looks at public and business attitudes towards artificial intelligence, examining the main factors that influence them. The conceptual model is based on the technology–organization–environment (TOE) framework and was tested through analysis of qualitative and quantitative data. Primary data were collected by a public survey with a questionnaire specially developed for the study and by semi-structured interviews with experts in the artificial intelligence field and management representatives from various companies. This study aims to evaluate the current attitudes of the public and employees of various industries towards AI and investigate the factors that affect them. It was discovered that attitude towards AI differs significantly among industries. There is a significant difference in attitude towards AI between employees at organizations with already implemented AI solutions and employees at organizations with no intention to implement them in the near future. The three main factors which have an impact on AI adoption in an organization are top management’s attitude, competition and regulations. After determining the main factors that influence the attitudes of society and companies towards artificial intelligence, recommendations are provided for reducing various negative factors. The authors develop a proposition that justifies the activities needed for successful adoption of innovative technologies.

scholarly journals A Survey on Bias and Fairness in Machine Learning

2021 ◽  
Vol 54 (6) ◽  
pp. 1-35
Author(s):  
Ninareh Mehrabi ◽  
Fred Morstatter ◽  
Nripsuta Saxena ◽  
Kristina Lerman ◽  
Aram Galstyan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Real World ◽  
State Of The Art ◽  
Future Directions ◽  
Discriminatory Behavior ◽  
Real World Applications ◽  
Near Future ◽  
Different Sources

With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems. AI systems can be used in many sensitive environments to make important and life-changing decisions; thus, it is crucial to ensure that these decisions do not reflect discriminatory behavior toward certain groups or populations. More recently some work has been developed in traditional machine learning and deep learning that address such challenges in different subdomains. With the commercialization of these systems, researchers are becoming more aware of the biases that these applications can contain and are attempting to address them. In this survey, we investigated different real-world applications that have shown biases in various ways, and we listed different sources of biases that can affect AI applications. We then created a taxonomy for fairness definitions that machine learning researchers have defined to avoid the existing bias in AI systems. In addition to that, we examined different domains and subdomains in AI showing what researchers have observed with regard to unfair outcomes in the state-of-the-art methods and ways they have tried to address them. There are still many future directions and solutions that can be taken to mitigate the problem of bias in AI systems. We are hoping that this survey will motivate researchers to tackle these issues in the near future by observing existing work in their respective fields.

scholarly journals Peacekeeping Conditions for an Artificial Intelligence Society

2019 ◽  
Vol 3 (2) ◽  
pp. 34
Author(s):  
Hiroshi Yamakawa
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Human Society ◽  
Common Value ◽  
Goal Management ◽  
Computer Based ◽  
Common Goals ◽  
Near Future ◽  
Advanced System ◽  
Local Value

In a human society with emergent technology, the destructive actions of some pose a danger to the survival of all of humankind, increasing the need to maintain peace by overcoming universal conflicts. However, human society has not yet achieved complete global peacekeeping. Fortunately, a new possibility for peacekeeping among human societies using the appropriate interventions of an advanced system will be available in the near future. To achieve this goal, an artificial intelligence (AI) system must operate continuously and stably (condition 1) and have an intervention method for maintaining peace among human societies based on a common value (condition 2). However, as a premise, it is necessary to have a minimum common value upon which all of human society can agree (condition 3). In this study, an AI system to achieve condition 1 was investigated. This system was designed as a group of distributed intelligent agents (IAs) to ensure robust and rapid operation. Even if common goals are shared among all IAs, each autonomous IA acts on each local value to adapt quickly to each environment that it faces. Thus, conflicts between IAs are inevitable, and this situation sometimes interferes with the achievement of commonly shared goals. Even so, they can maintain peace within their own societies if all the dispersed IAs think that all other IAs aim for socially acceptable goals. However, communication channel problems, comprehension problems, and computational complexity problems are barriers to realization. This problem can be overcome by introducing an appropriate goal-management system in the case of computer-based IAs. Then, an IA society could achieve its goals peacefully, efficiently, and consistently. Therefore, condition 1 will be achievable. In contrast, humans are restricted by their biological nature and tend to interact with others similar to themselves, so the eradication of conflicts is more difficult.

Sign in / Sign up

Export Citation Format

Share Document