Big data artificial intelligence in the direction of tourism social media: a systematic study

2021 ◽  
Author(s):  
Biqiang Sun
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Big Data ◽  
Systematic Study

Predictive Analysis for Digital Marketing Using Big Data

2017 ◽  
pp. 259-283
Author(s):  
Balamurugan Balusamy ◽  
Priya Jha ◽  
Tamizh Arasi ◽  
Malathi Velu
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Big Data ◽  
Statistical Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Predictive Analysis ◽  
Cognitive Computing ◽  
Internet Resources ◽  
To Come

Big data analytics in recent years had developed lightning fast applications that deal with predictive analysis of huge volumes of data in domains of finance, health, weather, travel, marketing and more. Business analysts take their decisions using the statistical analysis of the available data pulled in from social media, user surveys, blogs and internet resources. Customer sentiment has to be taken into account for designing, launching and pricing a product to be inducted into the market and the emotions of the consumers changes and is influenced by several tangible and intangible factors. The possibility of using Big data analytics to present data in a quickly viewable format giving different perspectives of the same data is appreciated in the field of finance and health, where the advent of decision support system is possible in all aspects of their working. Cognitive computing and artificial intelligence are making big data analytical algorithms to think more on their own, leading to come out with Big data agents with their own functionalities.

Smart Technology for Smart Response During Pandemic Times

2022 ◽  
pp. 261-278
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Big Data ◽  
Smart City ◽  
Critical Role ◽  
Communication Strategy ◽  
Smart Technology ◽  
Information And Communication ◽  
Remote Learning

The formal response to COVID-19 through ICT is presented with a focus on testing COVID-19, ICTs and tracking COVID-19, ICTs and COVID-19 treatment, and policies and strategies. The chapter highlights the critical role of ICTs and e-government for technologies to fight coronavirus. It covers delivery of remote learning, ICT trends, artificial intelligence (AI), and big data in fighting the pandemic, in addition to social media application for awareness of citizens such as emergencies, protection, and pandemic news. The notion of developing an information and communication strategy for redesigning smart city transformation in a pandemic is highlighted.

scholarly journals Business Open Big Data Analytics to Support Innovative Leadership and Management Decision in Canada

2020 ◽  
Vol 4 (2) ◽  
pp. 56-74
Author(s):  
Nadia Delanoy ◽  
arina Kasztelnik
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Big Data ◽  
Data Analytics ◽  
Customer Relations ◽  
Big Data Analytics ◽  
Innovative Leadership ◽  
Innovative Management ◽  
The World ◽  
Leadership Decisions

This paper summarizes how social media and other technologies continue to proliferate; the shifting economic landscape will precipitate more adaptive approaches for managers attempting to understand the multi-dimensional virtual aspects of communication with the artificial intelligence aspect. Also, we discover the different existing support of big data analytics to make a rational business decision. The methodology is the systematization literature sources within this context and approaches for the underlining approach to open big data analytics and support innovative leadership decisions in Canada. The paper is carried out in the following logical sequence to gain an understanding of how customer relations managers could utilize social media within a data analytics frame from scholar and practitioner perspectives. This literature research review original paper outlines the main themes including the role of social media, the experiences of using data analytics for customer relations management, and the notion that customer-centric technologies could change the dynamic of understanding customer intentions, leadership decisions and introduce the innovative management with using the big data analytics in place. The results of the critical thinking with analysis both authors can be useful for any business around the World that would like to start using Artificial Intelligence to support innovative management decisions. The emergent themes that were highlighted based on the realities of customer relations management may be significant to how the integration of social media feedback resulting from crowdsourcing in addition to existing data analytics could better position organizations in this evolving world. The implications of linking innovative management processes such as demographic analysis, platform understanding, and communication methods together are crucial for any public business with a global impact. Finally, the understanding of innovation management in a social media era and understanding how customers utilized open big data analytics sources could help leadership practices across industries around the World. Keywords: Big Data Analytics, Innovative Leadership, Management of Social Media, Open Sources.

How Artificial Intelligence and Big Data Are Transforming Repression

2021 ◽  
pp. 212-253
Author(s):  
Steven Feldstein
Keyword(s):  
Artificial Intelligence ◽  
Public Policy ◽  
Social Media ◽  
Big Data ◽  
Global Index ◽  
Detailed Explanation ◽  
Surveillance Technology ◽  
Recognition Systems ◽  
Data Surveillance ◽  
Big Data Technology

This chapter examines how artificial intelligence (AI) and big-data technology are reshaping repression strategies and why they are a boon for autocratic leaders. It explores two in-depth scenarios that describe potential state deploy AI and big-data techniques to accomplish political objectives. It presents a global index of AI and big-data surveillance that measures the use of these tools in 179 countries. It then presents a detailed explanation for specific types of AI and big-data surveillance: safe cities, facial recognition systems, smart policing, and social media surveillance. Subsequently, it examines China’s role in proliferating AI and big-data surveillance technology, and it reviews public policy considerations regarding use of this technology by democracies.

Predictive Analysis for Digital Marketing Using Big Data

Web Services ◽  
2019 ◽  
pp. 745-768
Author(s):  
Balamurugan Balusamy ◽  
Priya Jha ◽  
Tamizh Arasi ◽  
Malathi Velu
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Big Data ◽  
Statistical Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Predictive Analysis ◽  
Cognitive Computing ◽  
Internet Resources ◽  
To Come

Big data analytics in recent years had developed lightning fast applications that deal with predictive analysis of huge volumes of data in domains of finance, health, weather, travel, marketing and more. Business analysts take their decisions using the statistical analysis of the available data pulled in from social media, user surveys, blogs and internet resources. Customer sentiment has to be taken into account for designing, launching and pricing a product to be inducted into the market and the emotions of the consumers changes and is influenced by several tangible and intangible factors. The possibility of using Big data analytics to present data in a quickly viewable format giving different perspectives of the same data is appreciated in the field of finance and health, where the advent of decision support system is possible in all aspects of their working. Cognitive computing and artificial intelligence are making big data analytical algorithms to think more on their own, leading to come out with Big data agents with their own functionalities.

scholarly journals Big Data, artificial intelligence and the geography of entrepreneurship in the United States

2018 ◽  
Author(s):  
Martin Obschonka ◽  
Neil Lee ◽  
Andrés Rodríguez-Pose ◽  
johannes Christopher Eichstaedt ◽  
Tobias Ebert
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Big Data ◽  
Big Five ◽  
The United States ◽  
Economic Outcomes ◽  
Entrepreneurial Activity ◽  
Personality Profile ◽  
Artificial Intelligence Methods ◽  
Wide Range

There is increasing interest in the potential of artificial intelligence and Big Data (e.g., generated via social media) to help understand economic outcomes and processes. But can artificial intelligence models, solely based on publicly available Big Data (e.g., language patterns left on social media), reliably identify geographical differences in entrepreneurial personality/culture that are associated with entrepreneurial activity? Using a machine learning model processing 1.5 billion tweets by 5.25 million users, we estimate the Big Five personality traits and an entrepreneurial personality profile for 1,772 U.S. counties. We find that these Twitter-based personality estimates show substantial relationships to county-level entrepreneurship activity, accounting for 20% (entrepreneurial personality profile) and 32% (all Big Five trait as separate predictors in one model) of the variance in local entrepreneurship and are robust to the introduction in the model of conventional economic factors that affect entrepreneurship. We conclude that artificial intelligence methods, analysing publically available social media data, are indeed able to detect entrepreneurial patterns, by measuring territorial differences in entrepreneurial personality/culture that are valid markers of actual entrepreneurial behaviour. More importantly, such social media datasets and artificial intelligence methods are able to deliver similar (or even better) results than studies based on millions of personality tests (self-report studies). Our findings have a wide range of implications for research and practice concerned with entrepreneurial regions and eco-systems, and regional economic outcomes interacting with local culture.

When Giants Meet

2020 ◽  
pp. 81-101
Author(s):  
Myriam Ertz ◽  
Émilie Boily
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Big Data ◽  
New Technologies ◽  
Big Data Analysis ◽  
Illustrative Case ◽  
Blockchain Technology ◽  
Technological Advances ◽  
Managerial Implications

The collaborative economy (CE) involves an intensification of direct or intermediated peer-to-peer trade, underpinned by robust digital infrastructures and processes, hence an increased use of new technologies and a redefinition of business activities. As an inherently connected economy, the CE is, therefore, prone to integrating the most recent technological advances including artificial intelligence, big data analysis, augmented reality, the smart grid, and blockchain technology. As an innovative payment and finance technology, the blockchain and cryptocurrencies could have potential implications for the CE. This chapter consists of a conceptual review analyzing how the CE connects with the blockchain technology. The chapter presents subsequently the organizational and managerial implications related to the use of blockchain technology in terms of governance, transaction costs, and user confidence. An illustrative case further examines the role of a prominent social media in the CE-blockchain nexus.

scholarly journals Технологии искусственного интеллекта в управлении человеческими ресурсами

2020 ◽  
pp. 38-51
Author(s):  
Alena Vankevich
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Big Data ◽  
Human Resources ◽  
Management System ◽  
Human Resources Management ◽  
Product Architecture ◽  
Resources Management ◽  
Software Product

There have been developed methods for using artificial intelligence technologies in an organization’s human resources management system based on the processing and interpretation of big data. Substantiated is the concept of using artificial intelligence for social scoring when hiring potential candidates for jobs. In accordance with that concept, a software product architecture has been developed that makes it possible to apply the personnel profiling technologies, based on the information from social media, for assessing the degree of the applicant’s readiness to fulfill professional duties of the position he/she is applying for. Suggested are recommendations on the application of directions for the implementation of artificial intelligence.

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