scholarly journals FUTURE MARKETING IN B2B SEGMENT: INTEGRATING ARTIFICIAL INTELLIGENCE INTO SALES MANAGEMENT

2020 ◽  
Author(s):  
Koldyshev Maxim Vladimirovich
Keyword(s):  
Artificial Intelligence ◽  
Sales Management ◽  
Personal Data ◽  
B2b Marketing ◽  
Human Needs ◽  
Customer Information ◽  
The Future ◽  
Data Market ◽  
High Level ◽  
Sales Systems

The technological phenomenon of artificial intelligence transforms B2B marketing and approaches to the formation of product value, sales and service. The case study allowed the author to examine and summarize the experience of large companies in integrating artificial intelligence into the sales management system, marketing and service. The article identified three problems of B2B companies’ sales system: incomplete, unreliable data, lack of interaction between marketing and sales systems, dynamic growth of personal data volume. The study proves economic efficiency of the integration of artificial intelligence, which solves these problems. The future of marketing was identified based on the latest trends in the B2B segment. In the future, industrial marketing will be determined by the accuracy, reliability of customer information, a high level of accuracy of demand forecasts, a shortened cycle of trade agreements, increasing level of effectiveness of cooperation between marketing and sales departments. The integration of artificial intelligence into sales management will finally complete the era of digital marketing in the B2B segment and will be the beginning of the era of “human” marketing. The latter will mean that in the context of a regulated digital private B2B data market, marketing will be focused on human needs with an accurate predictable understanding of customer needs.

scholarly journals Application Of Tourist Route Map Based On Modification Bidirectional A * Algorithm

2018 ◽  
Vol 2 (2) ◽  
pp. 80-87
Author(s):  
Panji Winata ◽  
Wijanarto
Keyword(s):  
Optimal Route ◽  
A Algorithm ◽  
Human Needs ◽  
Starting Point ◽  
The Future ◽  
Efficient Route ◽  
High Level ◽  
Future Work ◽  
Busy Road

Tourism is an activity that has become a trend of human needs. The development of technology in the current era is very helpful in providing such information to tourists, one of which is information about the route in the planning of tourism activities. Tourists will certainly choose the optimal route in their journey to make their tours more effective. In order to determine the fastest route, this paper will present a mobile-based application that will help tourists to quickly reach the destination. The Efficient Modified Bidirectional A * algorithm is chosen because it will provide an efficient route with shorter distance, which is a modification of the A * algorithm. The results of the case study of 5 trips from the starting point toward the goal resulted in a high level of efficiency (3 cases) and quite good (3 cases) with values, 77.5%, 53%, 53.8%, 73%, 72.6 %. The above percentage is calculated by finding a proportional distance (d) of choice with the distance of all possible paths, then subtracting 1 by multiplying d by 100%. In the future work need to add the parameters of the busy road route or not to be selected more optimal.

scholarly journals Artificial Intelligence Applications and Impact on Consumers – With a View on Romanian Consumers’ Perceptions and Attitudes Related to AI

2021 ◽  
Vol 66 (2) ◽  
pp. 27-39
Author(s):  
Emanuel Sanda ◽  
Keyword(s):  
Artificial Intelligence ◽  
Personal Data ◽  
Critical Issue ◽  
Jel Classification ◽  
Machine Learning Algorithms ◽  
Smart Devices ◽  
Current Debate ◽  
Daily Lives ◽  
The Future ◽  
The Impact

Artificial Intelligence based technologies are becoming more and more pervasive in people’s lives. Whether it takes the form of machine learning algorithms, Internet of Things smart devices, virtual assistants, chatbots, robots, AR/VR experiences, consumers are faced directly or indirectly, conscientiously or unconscientiously, with a variety of incarnations of what is generically called AI. The current debate surrounding AI seems to focus on a few major aspects related to this next technological breakthrough. Right from the start, there is intense discussion even around the definition of AI: what is and what is not AI, how broad of a definition can be applied, and which of the many current and envisaged applications are actually ‘intelligent’. Then, there is the critical issue of the use of consumers’ personal data and underlying privacy issues, as AI seems to be built and thrive on being fed enormous amounts of data of various kinds. And lastly, there seems to be increasing concern regarding the potential for AI to evolve into AGI (Artificial General Intelligence – independent self-reliant robots) and the threats this poses to humanity. A subject of potentially equal importance could be AI applications and implementations are impacting individuals’ lives and the manner in which people relate to, perceive and assess AI and the underlying current technologies, both in terms of the impact in their daily lives, as well as in terms of expected prospects for the future. This paper looks at the progress made so far in addressing some of the above questions and, by analyzing data from EU’s 2017 Eurobarometer study, attempts to reveal how various Romanian consumer segments perceive and relate to AI and current technologies. It identifies potential emerging inequalities from access, acceptance and usage of these technologies at present and in the future. The paper also sets out future directions for further understanding of the intricate relationship between human consumers and emerging AI tech, both in terms of benefits as well as potential threats. Keywords: Artificial Intelligence, algorithms, consumer behavior, decision making JEL Classification: M30, M31, M39

Birth of Intelligence

2020 ◽  
Author(s):  
Daeyeol Lee
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Rapid Expansion ◽  
Human Intelligence ◽  
The Future ◽  
Future Society ◽  
High Level

What is intelligence? How did it begin and evolve to human intelligence? Does a high level of biological intelligence require a complex brain? Can man-made machines be truly intelligent? Is artificial intelligence (AI) fundamentally different from human intelligence? Rapid expansion of AI applications has made these questions pressing. To better prepare for the future society and its technology, including how the use of AI will impact our lives, it is essential to understand the biological root and limits of human intelligence. After systematically reviewing biological and computational underpinnings of decision-making and intelligent behaviors, this book proposes that true intelligence requires life.

To the memory of the geobotanist. Leonid E. Rodin (to the 100th anniversary of his birthday)

2007 ◽  
pp. 106-107
Author(s):  
B. K. Gannibal
Keyword(s):  
End Of Life ◽  
100Th Anniversary ◽  
State University ◽  
Botanical Institute ◽  
Komarov Botanical Institute ◽  
The Future ◽  
Long Time ◽  
High Level

Leonid Efimovich Rodin (1907-1990) was a graduate of Leningrad state University. To him, the future is known geobotanica, happened to a course in Botanical geography is still at the N. A. Bush. His teachers were also A. P. Shennikov and A. A. Korchagin, who subsequently headed related Department of geobotany and Botanical geography of Leningrad state University. This was the first school scientist. And since the beginning of the 30s of XX century and until the end of life L. E. was an employee of the Department of geobotany of the Komarov Botanical Institute (RAS), where long time worked together with E. M. Lavrenko, V. B. Sochava, B. A. Tikhomirov, V. D. Alexandrova and many other high-level professionals, first continuing to learn and gain experience, then defining the direction of development of geobotany in the Institute and the country as a whole.

On Sinofuturism

Screen Bodies ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 46-62
Author(s):  
Yunying Huang
Keyword(s):  
Artificial Intelligence ◽  
Pop Culture ◽  
Chinese People ◽  
Modern Chinese ◽  
The Future ◽  
Dominant Design ◽  
Urban Rural ◽  
Cultural Expressions ◽  
Contemporary Chinese

Dominant design narratives about “the future” contain many contemporary manifestations of “orientalism” and Anti-Chineseness. In US discourse, Chinese people are often characterized as a single communist mass and the primary market for which this future is designed. By investigating the construction of modern Chinese pop culture in Chinese internet and artificial intelligence, and discussing different cultural expressions across urban, rural, and queer Chinese settings, I challenge external Eurocentric and orientalist perceptions of techno-culture in China, positing instead a view of Sinofuturism centered within contemporary Chinese contexts.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

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