scholarly journals Determining the Impact of Artificial Intelligence on ‘Developing Marketing Strategies’ in Organized Retail Sector of West Bengal, India

2019 ◽  
Vol 8 (6) ◽  
pp. 3031-3036
Keyword(s):  
Artificial Intelligence ◽  
West Bengal ◽  
Target Population ◽  
Marketing Strategies ◽  
Validity Study ◽  
Retail Sector ◽  
Direct Impact ◽  
Retail Outlets ◽  
The World ◽  
The Impact

In this age of digitization, technology is evolving rapidly. Organizations are trying their best to match up with this evolution so that they are ready to face the competition in the market. Artificial Intelligence is the name of one such technology which is getting attention across the world because of its many advantages. Organized retail stores are one of the first sectors to successfully implement this technology in order to meet the demands of the customers. This technology also plays a crucial role in gathering the data as well as analyzing it. The results are useful for the development of new marketing strategies which might be adopted by the company in the future. This study aims to identify the factors which have a direct impact on the development of marketing strategies by the use of Artificial Intelligence. The study is limited to West Bengal, India. The target population was the employees who work in the retail outlets. Reliability as well as validity study along with Multiple Regression Analysis was implemented in this study. Some crucial factors were identified which were helpful in the designing of the effective and efficient marketing strategies of the retail sector firms through the extensive use of Artificial Intelligence.

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

scholarly journals ARTIFICIAL INTELLIGENCE: IS IT A THREAT OR AN OPPORTUNITY BASED ON ITS LEGAL PERSONALITY AND CRIMINAL LIABILITY?

2021 ◽  
Vol 6 (20) ◽  
pp. 01-09
Author(s):  
Mark Louis ◽  
Angelina Anne Fernandez ◽  
Nazura Abdul Manap ◽  
Shamini Kandasamy ◽  
Sin Yee Lee
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Criminal Liability ◽  
Legal Person ◽  
Human Intelligence ◽  
Legal Research ◽  
Legal Personality ◽  
The World ◽  
Technological World ◽  
The Impact

Information technology is taking the world by storm. The technological world is changing rapidly and drastically. Human activities are taken over by robots and computers. The usage of computers and robots has increased productivity in various sectors. The emergence of artificial intelligence has stirred up many debates on both its importance and limitations. Artificial intelligence is directed to the usage of Information Technology in conducting tasks that normally require human intelligence. The expectation of artificial intelligence is high, nevertheless, artificial intelligence has its shortcomings namely the impact of artificial intelligence on the concept of a legal personality. The problem with artificial Intelligence is the debate on whether does it have a legal personality? And another problem is under what situation does the law treat artificial intelligence as an entity with its own rights and obligations. The objective of this article is to examine the various definitions of legal personality and whether artificial intelligence can become a legal person. The article will also examine the criminal liability of artificial intelligence when a crime has been committed. The methodology adopted is qualitative namely Doctrinal Legal Research by analyzing the relevant legal views from various journals on artificial intelligence. The study found out that artificial intelligence has its limitations in defining its legal personality and also in examining the criminal liability when a crime has been committed by robots.

Disruptions of the Fourth Industrial Revolution

2021 ◽  
pp. 189-199
Author(s):  
Idris Olayiwola Ganiyu ◽  
Ola Olusegun Oyedele ◽  
Evelyn Derera
Keyword(s):  
Artificial Intelligence ◽  
Technological Innovation ◽  
Industrial Revolution ◽  
Technological Innovations ◽  
Fourth Industrial Revolution ◽  
Skill Gaps ◽  
The World ◽  
The Future ◽  
The Impact ◽  
And Robotics

The Fourth Industrial Revolution has resulted in the disruption of the world of work whereby technological innovation such as artificial intelligence (AI) and robotics. These disruptions may be creative in that as some jobs are lost due to the development of artificial intelligence, new ones are created. This chapter explored the impact of disruptive technological innovations on the future of work. The skill gaps brought about by the emergence of the Fourth Industrial Revolution was also explored in this chapter.

scholarly journals How artificial intelligence will change the future of marketing

2019 ◽  
Vol 48 (1) ◽  
pp. 24-42 ◽  
Author(s):  
Thomas Davenport ◽  
Abhijit Guha ◽  
Dhruv Grewal ◽  
Timna Bressgott
Keyword(s):  
Artificial Intelligence ◽  
Research Agenda ◽  
Marketing Strategies ◽  
Important Policy ◽  
The Future ◽  
Task Types ◽  
The Impact ◽  
Future Of Marketing

Abstract In the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors. Building from not only extant research but also extensive interactions with practice, the authors propose a multidimensional framework for understanding the impact of AI involving intelligence levels, task types, and whether AI is embedded in a robot. Prior research typically addresses a subset of these dimensions; this paper integrates all three into a single framework. Next, the authors propose a research agenda that addresses not only how marketing strategies and customer behaviors will change in the future, but also highlights important policy questions relating to privacy, bias and ethics. Finally, the authors suggest AI will be more effective if it augments (rather than replaces) human managers.

scholarly journals Use of artificial intelligence in imaging in rheumatology – current status and future perspectives

RMD Open ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. e001063 ◽  
Author(s):  
Berend Stoel
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Basic Research ◽  
Current Status ◽  
Future Perspectives ◽  
Clinical Imaging ◽  
The World ◽  
Human Interpretation ◽  
The Impact ◽  
Insight Into

After decades of basic research with many setbacks, artificial intelligence (AI) has recently obtained significant breakthroughs, enabling computer programs to outperform human interpretation of medical images in very specific areas. After this shock wave that probably exceeds the impact of the first AI victory of defeating the world chess champion in 1997, some reflection may be appropriate on the consequences for clinical imaging in rheumatology. In this narrative review, a short explanation is given about the various AI techniques, including ‘deep learning’, and how these have been applied to rheumatological imaging, focussing on rheumatoid arthritis and systemic sclerosis as examples. By discussing the principle limitations of AI and deep learning, this review aims to give insight into possible future perspectives of AI applications in rheumatology.

scholarly journals ON THE IMPACT OF DIGITAL TRANSFORMATION ON THE ECONOMY

2020 ◽  
pp. 32-38
Author(s):  
I. V. Goman ◽  
I. N. Shakhtarina
Keyword(s):  
Artificial Intelligence ◽  
World Economy ◽  
Digital Transformation ◽  
The World ◽  
The Impact

The article is devoted to the study of the impact global digitalization on the economy. The analysis of the development of technologies, including digital ones, and their impact on the world economy was carried out. Historical works describing possible changes in the mechanism of benefits distribution were studied. The main concerns related to digitalization, creation of artificial intelligence and global robotization were considered. Assumptions regarding possible development of the economy were made.

scholarly journals How Artificial Intelligence and Machine Learning can Assist in Collections Curation

2019 ◽  
Vol 3 ◽  
Author(s):  
Simon Checksfield
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
General Public ◽  
Intrinsic Value ◽  
Industry Research ◽  
Research Organisation ◽  
The World ◽  
Genetic Barcoding ◽  
The Impact

With increasing pressure on the limited taxonomical expertise in not only Commonwealth Scientific and Industry Research Organisation (CSIRO) but the world, new and innovative ways need to be found to assist in the curation and identification of biological specimens. CSIRO, through the National Research Collections Australia (NRCA) and Data 61 is hoping to begin a new program of work focused on using Artificial Intelligence (AI) and Machine Learning to build a framework and tools that can help identify a specimen from an image. The framework will include AI models that have been trained by expert taxonomists, thus providing a level of accuracy that has some intrinsic value. NRCA is also exploring how AI could be linked or cross referenced with another initiative using rapid genetic barcoding to identify all newly collected specimens. Combining genetic and AI determinations will add weight to each, and potentially expose some new AI challenges, such as identifying morphological elements against genomic elements. Whilst acknowledging challenges still exist regarding standards, acceptance of identification, provenance, accuracy and governance, the NRCA is hoping AI can assist in freeing the time of our researchers and technicians to work on more pressing and complex issues by reducing their time spent on basic identification. The impact of such a program will also reach into industry and the general public through tools based on the AI models. There is also an opportunity to use this initiative to create global centers of taxonomic expertise, which anyone can use to help identify a specimen.

scholarly journals Service Robots Usage in Marketing Hospitality in China

2021 ◽  
Vol 10 (2) ◽  
pp. 13
Author(s):  
Ayse Begum Ersoy ◽  
Ziqi Cui
Keyword(s):  
Artificial Intelligence ◽  
Hospitality Industry ◽  
Essential Role ◽  
Service Robots ◽  
Human Intelligence ◽  
The Public ◽  
Advanced Technologies ◽  
The World ◽  
Interpersonal Distancing ◽  
The Impact

Since the coronavirus disease 2019(COVID-19) has had brought severe impact on all aspects of the world. A series of interpersonal distancing methods such as ensuring effective and safe social distancing among people, wearing masks, and traffic lockdown measures are also continuing to take effect to curb the continuing outbreak of the COVID-19 (“Advice for the public on COVID-19”, 2020). In response to the globally spread of COVID-19, many advanced technologies in the field of Artificial Intelligence (AI) were applied rapidly and played an essential role in the operation for several months. There are many different leading technology categories in the field of artificial intelligence and many different sub-categories within each main technology categories. Moreover, since the AGI technology does not yet reach the basic human intelligence level, this study will focus on the impact of service robots, which are already widely used in the NAI application category, on hospitality marketing in the current situation in China. In this paper the aim is to assess the effectiveness of use of service robots in Marketing Hospitality Industry during the pandemic through a quantitative study.

scholarly journals Pengangguran Di Tengah Puncak Bonus Demografi Pada Era Pandemi Covid-19

IJAcc ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 74-81
Author(s):  
Rizka Azzahra
Keyword(s):  
Bargaining Power ◽  
The Elderly ◽  
The Other ◽  
Direct Impact ◽  
The World ◽  
Huge Impact ◽  
The Government ◽  
Worship Education ◽  
Age Range ◽  
The Impact

Demographers predict that in the period 2020-2030 Indonesia will experience a demographic bonus with a peak around 2030. At that time, the number of people with productive age in Indonesia, namely the age range of 15-64 years, far exceeds those who are included in the nonproductive age (children and the elderly). The Demographic Bonus should be a very positive thing where Indonesia can get extraordinary benefits, making Indonesia have high competitiveness and bargaining power. But on the other hand, Indonesia is currently facing serious problems due to the impact of the Covid-19 pandemic that has hit the world. Social distancing (physical distancing) carried out to anticipate the spread and expansion of the Covid 19 pandemic has made changes in various fields, both in the economy, transportation, worship, education, government and entertainment that have a direct impact on labor. The number of job cuts that occurred during the Covid-19 pandemic had a huge impact because not all of the workforce could be accommodated in the world of work, as a result it would encourage an increase in the number of unemployed in Indonesia. This study aims to analyze the dynamics of unemployment in Indonesia and the steps that need to be taken by the government and the Indonesian people in order to face the era of demographic bonuses in the midst of the Covid-19 pandemic so that this demographic bonus does not become a wave of mass unemployment in Indonesia.

scholarly journals An Overview of the 2021 NISO Plus Conference: Global connections and global conversations

2021 ◽  
pp. 1-37
Author(s):  
Bonnie Lawlor
Keyword(s):  
Artificial Intelligence ◽  
Scholarly Communication ◽  
Information Privacy ◽  
Annual Conference ◽  
Global Pandemic ◽  
Metadata Quality ◽  
The World ◽  
Time Zones ◽  
Global Connections ◽  
The Impact

This paper offers an overview of the highlights of the 2021 NISO Plus Annual Conference that was held virtually from February 22 – February 25, 2021. This was the second NISO Plus annual conference. The first one was held in 2020 and replaced what would have been the 62nd Annual NFAIS conference, but with the merger of NISO and NFAIS in June 2019 the conference was renamed NISO Plus and took on a new format. Little did they know that the second conference would have to be held virtually while the world was battling a global pandemic. The 2021 audience represented a 400% increase over the 2020 in-person attendance. There was no general theme, but there was a topic for everyone working in the information ecosystem - from the practical subjects of standards and metadata quality to preprints to information privacy and ultimately to the impact of Artificial Intelligence/Machine Learning on scholarly communication. With speakers from around the world and across time zones and continents, it was truly a global conversation!

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