Fostering CRM Through Artificial Intelligence

2022 ◽  
pp. 70-91
Author(s):  
Nidhi Shridhar Natrajan ◽  
Sanjeev Kumar Singh ◽  
Rinku Sanjeev
Keyword(s):  
Artificial Intelligence ◽  
New Technology ◽  
Strong Support ◽  
Current Approach ◽  
Organizational Capabilities ◽  
Human Intelligence ◽  
Successful Implementation ◽  
New Paradigm ◽  
Use Of Technology

The use of technology has always provided competitive advantage to organizations. The current approach of adapting a new technology is the long-term planning. AI has become a new paradigm of enhancing organizational capabilities. AI is not a substitute of human intelligence but a strong support in terms of process automation. Apart from this, the decision-making process also gets streamlined. The success of business is when the customer is happy. To create and retain customer loyalty, effective CRM is required. The current chapter focuses on adoption of AI for efficient CRM and the factors for its successful implementation.

scholarly journals Research on the impact of artificial intelligence on the business model of an organization

E-Management ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 26-36
Author(s):  
A. A. Dashkov ◽  
Yu. O. Nesterova
Keyword(s):  
Artificial Intelligence ◽  
Information And Communication Technologies ◽  
Business Model ◽  
Digital Transformation ◽  
Successful Implementation ◽  
New Ways Of Working ◽  
Use Of Technology ◽  
Physical Assets ◽  
The Moment ◽  
The Impact

The digital transformation of our world and the inevitable interaction between people, digital technologies and physical assets create a rapidly changing and complex environment that requires organizations to be more flexible, better fit and ready to accept new ways of working. Businesses are coming to realize the need for change to operate successfully in the digital age. In the period of global digitalization, information and communication technologies are one of the most important aspects of existence for a business, which makes it more efficient, efficient and allows you to respond quickly to a rapidly changing external environment, as well as customer needs. At the moment, there is a high interest in the possibilities of artificial intelligence for use in business tasks in the world, as there are already examples of successful implementation, when Artificial Intelligence and machine learning radically change the way they work and increase the profit of organizations in different countries.The purpose of this study is to consider how artificial intelligence affects the value proposition and how the elements of the business model change when using this technology. The paper gives the existing examples of the use of technology, the consequences of its application and the emerging prospects for the use of Artificial Intelligence as one of the advanced technologies of digital transformation.

scholarly journals The role of organizational capabilities on e-business successful implementation

2021 ◽  
pp. 417-432
Author(s):  
Rima Kabrilyants ◽  
Bader Yousef Obeidat ◽  
Muhammad Alshurideh ◽  
Ra'ed Masa'deh
Keyword(s):  
Strong Support ◽  
Organizational Capabilities ◽  
Future Research ◽  
Successful Implementation ◽  
Policy Makers ◽  
Learning Capabilities ◽  
It Assimilation ◽  
Knowledge Management Capabilities ◽  
Management Capabilities

This study sought to investigate the role of organizational capabilities on e-business successful implementation. The proposed conceptual framework was tested on a sample of 16 Jordanian companies with an online involvement, and a total of 263 valid returns were obtained in a questionnaire based survey. The results provide quite a strong support for the hypothesized relations: organizational capabilities, namely learning organizational capabilities and IT capabilities have significant impact on e-business implementation success. However, no statistical support was found for the significant impact of the knowledge management capabilities on e-business successful implementation. This study implies that the policy-makers should focus on formulating policies and targeting appropriate organizational capabilities to ensure effective e-business implementation, which will eventually yield positive results for the company as a whole. An organization needs a well-designed IT infrastructure to create and maintain the organizational knowledge deriving from organizational learning capabilities and enabling IT assimilation. In light of these results, the research presented many recommendations for future research and a set of limitations.

Symbioses as an Alternative to Master/Slave for Artificial Intelligence

2021 ◽  
pp. 127-150
Author(s):  
John Thomas Riley
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Sea Level Rise ◽  
Sea Level ◽  
Current Approach ◽  
Human Society ◽  
Climate Crisis

Human society is facing enormous problems this century as result of our climate crisis. These problems include sea level rise and the loss of farming capability. Society will need all the new tools it can develop to address these problems. Artificial intelligence with deep learning is one of these powerful tools, and it is new. Exactly how it will be used has not been determined. The current approach to the human/AI interface is referred to as master/slave. The human simply tells the AI what to do. This arrangement has many problems, and replacing it has been suggested. One possible new arrangement is a human/AI symbiosis. This would require a long-term relationship between a specific human and a specific AI. A novel, Born to Storms, exploring this arrangement is discussed at length.

scholarly journals The Impact of Artificial Intelligence and Deep Learning in Eye Diseases: A Review

2021 ◽  
Vol 8 ◽  
Author(s):  
Raffaele Nuzzi ◽  
Giacomo Boscia ◽  
Paola Marolo ◽  
Federico Ricardi
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Computer Science ◽  
New Technology ◽  
Eye Diseases ◽  
Human Intelligence ◽  
Basic Principles ◽  
The Impact ◽  
And Training ◽  
Clinical Overview

Artificial intelligence (AI) is a subset of computer science dealing with the development and training of algorithms that try to replicate human intelligence. We report a clinical overview of the basic principles of AI that are fundamental to appreciating its application to ophthalmology practice. Here, we review the most common eye diseases, focusing on some of the potential challenges and limitations emerging with the development and application of this new technology into ophthalmology.

Artificial Intelligence in Medicine

2021 ◽  
pp. 49-68
Author(s):  
Gia Merlo
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
New Technologies ◽  
New Technology ◽  
Technological System ◽  
Medical Professionals ◽  
Human Intelligence ◽  
Connected Health ◽  
The Future

Disruptive forces are challenging the future of medicine. One of the key forces bringing change is the development of artificial intelligence (AI). AI is a technological system designed to perform tasks that are commonly associated with human intelligence and ability. Machine learning is a subset of AI, and deep learning is an aspect of machine learning. AI can be categorized as either applied or generalized. Machine learning is key to applied AI; it is dynamic and can become more accurate through processing different results. Other new technologies include blockchain, which allows for the storage of all of patients’ records to create a connected health ecosystem. Medical professionals ought to be willing to accept new technology, while also developing the skills that technology will not be able to replicate.

An Exploration into the Nature of the Making of Human and Artifcial Intelligence and the Qur’anic Persepctive

1992 ◽  
Vol 9 (4) ◽  
pp. 465-481
Author(s):  
Mahmoud Dhaouadi
Keyword(s):  
Artificial Intelligence ◽  
Applied Research ◽  
Human Intelligence ◽  
Short Term ◽  
Information Process ◽  
Cultural Symbols ◽  
Ongoing Controversy ◽  
Basic And Applied Research

The ongoing controversy over artificial and human intelligence ischaracterized by open disagreement. Some researchers believe that artificialintelligence has the potential to become equal to or even superior tohuman intelligence, while others say that such a development is impossible.The thesis of this paper is that the gap between human and artificialintelligence is bound to remain considerable, both in the short term andin the long term. The concepts of human cultural symbols and theQur’anic vision of human intelligence are intduced in support of thisthesis. Humanity’s ability to manipulate cultural symbols, upon which thephenomenon of human intelligence depends, is a uniquely human characteristic.And this uniqueness, according to the Qur’an, is the direct resultof a divine decision, not of evolution. As such an ability and many of themysteries of that power, are hardly accessible to humans, how wouldhuman researchers be able to include them in the design of artificial intelligencemachines?In the last two decades, research in the field of artificial intelligence(hereinafter referred to as AI) has made considerable headway on both thetheoretical and the applied levels. The input into the field has not beenrestricted only to cybernetics and information process experts; neurophysiologists,cognitive psychologists, philosophers, and sociologists’ havealso been interested in human intelligence (hereinafter referred to as HI)and AI. As AI infrastructures and authority continue to expand in modemand postmodem societies, specialists in other areas will have to becomeinvolved.For scientists, basic and applied research into A1 constitute an exciting ...

Artificial Intelligence for a Personalized Diagnosis and Treatment of Atrial Fibrillation

2021 ◽  
Author(s):  
Ana Maria Sánchez de la Nava ◽  
Felipe Atienza ◽  
Javier Bermejo ◽  
Francisco Fernández-Avilés
Keyword(s):  
Artificial Intelligence ◽  
Atrial Fibrillation ◽  
Diagnosis And Treatment ◽  
Sources Of Information ◽  
New Paradigm ◽  
Large Patient ◽  
Potential Applications ◽  
Personalized Diagnosis ◽  
Different Sources

Although Atrial Fibrillation (AF) is the most common cardiac arrhythmia, its early identification, diagnosis, and treatment is still challenging. Due to its heterogeneous mechanisms and risk-factors, targeting an individualized treatment of AF demands a large amount of patient data to identify specific patterns. Artificial Intelligence (AI) algorithms are particularly well suited for treating high-dimensional data, predicting outcomes and, eventually, optimizing strategies for patient management. The analysis of large patient samples combining different sources of information such as blood biomarkers, electrical signals and medical images opens a new paradigm for improving diagnostic algorithms. In this review, we summarize suitable AI techniques for this purpose. In particular, we describe potential applications for understanding the structural and functional bases of the disease, as well as for improving early noninvasive diagnosis, developing more efficient therapies, and predicting long-term clinical outcomes of AF patients.

scholarly journals Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
William Kwadwo Antwi ◽  
Theophilus N. Akudjedu ◽  
Benard Ohene Botwe
Keyword(s):  
Artificial Intelligence ◽  
Content Analysis ◽  
Medical Imaging ◽  
Qualitative Content Analysis ◽  
New Technology ◽  
Job Security ◽  
Study Data ◽  
Successful Implementation ◽  
Positive Outlook ◽  
Improving Patient Care

Abstract Purpose Studies have documented the clinical potentials of artificial intelligence (AI) in medical imaging practice to improving patient care. This study aimed to qualitatively explore the perception of radiographers relating to the integration of AI in medical imaging practice in Africa. Methods The study employed a qualitative design using an open-ended online instrument administered between March and August 2020. Participants consisted of radiographers working within Africa during the time of the study. Data obtained were analysed using qualitative content analysis. Six themes of concerns were generated: expectant tool; career insecurity; cost of new technology, equipment preservation and data insecurity; service delivery quality; need for expanding AI awareness. Results A total of 475 valid responses were obtained. Participants demonstrated a positive outlook about AI in relation to clinical quality improvement, competent diagnosis, radiation dose reduction and improvement in research. They however expressed concerns relating to the implementation of this technology, including job security and loss of core professional radiographer skills and roles. In addition, concerns regarding AI equipment maintenance, lack of awareness about AI and education and training opportunities were evident. Conclusion Awareness of the importance of AI in medical imaging practice was acknowledged; however, concerns relating to job security, data protection must be given critical attention for successful implementation of these advanced technologies in medical imaging in Africa. Inclusion of AI modules in the training of future radiographers is highly recommended.

scholarly journals Artificial Intelligence-Based Method to Improve Tourism with the Help of Android Studio

2021 ◽  
Vol 10 (6) ◽  
pp. 50-53
Author(s):  
Anusha . ◽  
Poorva Agrawal ◽  
Gagandeep Kaur
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Computer Science ◽  
Mobile Application ◽  
New Technology ◽  
Future Research ◽  
Human Intelligence ◽  
Research Directions ◽  
Research Areas ◽  
Future Research Directions

Artificial intelligence is a new technology in the field of computer science and information technology. Artificial intelligence techniques are very useful and also applied in many businesses. There are many research areas and opportunities in the field of Artificial intelligence. Artificial intelligence refers to the simulation of human intelligence in machines. Artificial intelligence allows app developers to achieve better mobile application experiences and also helps to improve personalized selections for users. This paper explores the different areas of the artificial intelligence-based system in tourism. This paper presents important future research directions.

A Qualitative Examination of User Perceptions of User-Driven and App-Controlled Hearing Technologies

2019 ◽  
Vol 28 (4) ◽  
pp. 993-1005 ◽  
Author(s):  
Gitte Keidser ◽  
Nicole Matthews ◽  
Elizabeth Convery
Keyword(s):  
Hearing Aids ◽  
Care Delivery ◽  
Hearing Aid ◽  
New Technology ◽  
Successful Implementation ◽  
Semistructured Interview ◽  
User Perceptions ◽  
Template Analysis ◽  
Training And Support ◽  
And Training

Purpose The aim of this study was to examine how hearing aid candidates perceive user-driven and app-controlled hearing aids and the effect these concepts have on traditional hearing health care delivery. Method Eleven adults (3 women, 8 men), recruited among 60 participants who had completed a research study evaluating an app-controlled, self-fitting hearing aid for 12 weeks, participated in a semistructured interview. Participants were over 55 years of age and had varied experience with hearing aids and smartphones. A template analysis was applied to data. Results Five themes emerged from the interviews: (a) prerequisites to the successful implementation of user-driven and app-controlled technologies, (b) benefits and advantages of user-driven and app-controlled technologies, (c) barriers to the acceptance and use of user-driven and app-controlled technologies, (d) beliefs that age is a significant factor in how well people will adopt new technology, and (e) consequences that flow from the adoption of user-driven and app-controlled technologies. Specifically, suggested benefits of the technology included fostering empowerment and providing cheaper and more discrete options, while challenges included lack of technological self-efficacy among older adults. Training and support were emphasized as necessary for successful adaptation and were suggested to be a focus of audiologic services in the future. Conclusion User perceptions of user-driven and app-controlled hearing technologies challenge the audiologic profession to provide adequate support and training for use of the technology and manufacturers to make the technology more accessible to older people.

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