A welcome plea for taxonomy

Introduction: This research aims to investigate the use of financial Big Data and artificial intelligence (AI) in predicting the bankruptcy risk of companies listed on the Indonesia Stock Exchange (BEI), with the Altman Z-Score model as the main framework. Objective: In this research, an intervening variable in the form of financial data quality is introduced to assess the role of mediation in increasing the accuracy of bankruptcy predictions.. Method: The research method used is quantitative with the analytical method used is Structural Equation Modeling Partial Least Squares (SEM-PLS), which allows analysis of the relationship between independent variables (Big Data and AI), intervening variables (quality of financial data), and dependent variables (bankruptcy risk prediction). Result: The research results show that the integration of financial Big Data and AI significantly increases the accuracy of company bankruptcy risk predictions on the IDX, with the quality of financial data acting as an intervening variable that strengthens this relationship. The influence of Big Data and AI on bankruptcy prediction through the quality of financial data has also been proven to provide more precise and faster results compared to the conventional Altman Z-Score model. Conclusion: These findings confirm that the quality of financial data is a key factor that must be considered in optimizing bankruptcy predictions in the capital market. This research has implications for the development of financial technology (Fintech) and risk management strategies in public companies, especially in identifying bankruptcy risks more effectively by utilizing the latest technology.

The XXI century may well become not only the era of postmodernity, but also the era of ‘post-humanity’ in the sense that artificial intelligence and robots will displace human beings and, to some extent, human thinking. The article points out that the artificial intelligence, Internet of things and Big data are three factors that are crucial for the implementation of the 4.0 industry. At the same time the author stresses that depersonalization of a human being can gradually wean him to think, analyze and be content only with aggressively introduced patterns of stereotypical behaviour in the virtual space. The difference between the two concepts, namely ‘big data’ and ‘business intelligence’has also been discussed. The so-called ‘three V’, namely: Volume, Velocity, and Variety are underlined as the main characteristics of the Big data. The author concludes that in the context of the COVID-19 pandemic the educational process in the Bulgarian universities was carried out under the influence of big data.

The management of enormous volumes of data, cloud computing technologies, the Internet of Things and all the smart devices we use are strongly related to the Big Data phenomenon. Due to the massive digitalization performed in recent years, almost everything, every action and every relationship is digital, transformed into data that can be analyzed and then turned into valuable information. Some of the great benefits of these processes relate to predictive analytics or various studies to understand social and cultural dynamics, aspects which have been successfully exploited by large companies such as Amazon, Google, Microsoft, or Netflix. This article examines Big Data analysis and discusses some challenges that arise from the integration of Artificial Intelligence (AI) in this process. In this digital decade, the influence of Big Data on our understanding of the real world is becoming a key factor. The article also highlights some of the concerns researchers have about the role and the use of AI and the algorithms behind AI in certain contexts. The contribution concludes with a reflection on how data processing, in this digital decade, could affect the way in which we relate to reality. Will it expand our knowledge of the real world, or will it increase our immersion in the digital world?

With the concept of lifelong education being widely recognized, people’s demand for education and training is growing, and online education has gradually become one of the important ways for people to meet the needs of education and training. Through analysis, it is found that online education also faces the development bottleneck of the lack of on-site teaching sense, systemic needs to be improved, the course completion rate is low, the quality of the course is difficult to guarantee, the teacher’s teaching pressure is high, and lack of social recognition, which restricts the further development. With the help of current technology hotspots – big data and artificial intelligence, we can effectively break through the above bottlenecks and make the online education industry maintain rapid development. This paper analyzes the root causes of the problems in the current online education and discusses the solutions to improve online education.

Consulting agency PricewaterhouseCoopers has identified eight key technologies for the digital economy: the Internet of Things and artificial intelligence - the foundation for a new generation of digital resources; robotics, drones and 3D printers - devices that help transfer the capabilities of a computer to the material world; virtual reality is also augmented - technologies that combine the physical and digital worlds; blockchain and cloud computing - a new approach to basic business accounting operations. Analysis of recent research and publications. The topic of big data is still controversial, although it is being studied by specialists in various fields (economics, information technology, politics, and others). The influence of big data on social processes and business organization, in particular, was studied by Bill Franks, Victor Mayer-Schonberger, Kenneth Kukier, Eric Siegel, John Foreman and others. Publicistic materials prevail among domestic sources, but there is a lack of fundamental works in this direction. Purpose of the article. explore the essence and practical application of revolutionary digital technologies - cloud computing, big data and the Internet of things. The article identifies the advantages and disadvantages of cloud technologies, forms a model of cloud services, discusses technologies for working with big data, analyzes the results of a Tech Pro Research survey on the use of big data, and builds a technological ecosystem of the Internet of Things. Digitization is already a reality, and the penetration of the Internet and digital technologies into traditional industries has become one of the main trends in recent years and is taking place on a global scale, which allows us to talk about the digital transformation of all sectors of the economy, social life and the formation of a new economic structure - the digital economy. The practical use of digital economy technologies is a modern trend in the socio-economic life of a modern state, actively influences consumer behavior, manifests itself in mobility and the desire of companies for continuous improvement.

As a member of the oldest art family of human beings, drama is also a very important part of human civilization. With the development of technology, more and more types of drama film and television appear. In today’s society, bad films and commercial films are emerging one after another. The intervention of capital has brought a very poor experience to moviegoers and is not conducive to the development of the entire field of drama and film. The further development and scientific promotion of the field of drama film and television has become a relatively important issue. In this context, this paper takes this as the starting point, integrates big data and artificial intelligence algorithms, and aims to analyze the promotion and influence in the field of drama and film. It has existed for a long time in the fields of physics, biology, environmental ecology, and other industries such as military, finance, and communication, but it has attracted people’s attention due to the development of the Internet and information industry in recent years. The article introduces the transition of the mainland film system and the manifestations of conflict in plot art and film and television plots. It uses the convolutional neural network algorithm in deep learning to build the system. This paper adopts an online survey, distributes it to moviegoers nationwide, and collects 4,000 valid samples for analysis of moviegoers’ occupation and monthly income. In terms of the occupational distribution of the audience, the proportion of white-collar workers in the company is the highest at 40%, the student group only accounts for 17.4%, and the retired worker group accounts for the smallest proportion, at 0.6%. To sum up, the structure of Chinese films has shifted from a younger, student-dominated, middle-income group to a mature, workplace-oriented, middle- and high-income group. It has successfully completed the analysis of the promotion and impact of big data and artificial intelligence in the field of drama, film, and television.

<p class="MsoNormal" style="margin-top: 12pt; line-height: 14pt; text-align: justify;"><span lang="EN-US" style="font-family: arial, helvetica, sans-serif;">This paper provides a thorough review of the shifting landscape of economic analysis, spotlighting recent trends and predicting future paths. While traditional economic models remain key for interpreting economic activity, they are being supplemented by fresh methods and cross-disciplinary viewpoints. The increased attention to inequality studies, using advanced statistical techniques and unique data sources, underscores the growing emphasis on fairness and distribution within economic analysis. The incorporation of behavioral elements into economic models also expands our comprehension of economic decision-making and market results. Notably, the emergence of computational economics-integrating artificial intelligence (AI), big data, and machine learning into economic scrutiny-represents a major development. Often referred to as ’smart economics,’ this field employs technology to formulate, address complex economic dilemmas, and perceive economic activity in unconventional ways. Yet, the application of AI and machine learning in economics introduces new hurdles around data privacy, algorithmic bias, and the transparency of model outcomes. The impact of the digital revolution on economic analysis is significant, as the advent of computational economics and the surge of big data are transforming research techniques and policy implications. Concurrently, the advent of the circular economy indicates a radical shift in our perspective on economic sustainability, carrying considerable implications for environmental policy and business tactics.<span style="mso-spacerun: yes;">  </span>In the future, it’s anticipated that these trends will further modify the realm of economic analysis, with AI and machine learning integration, emphasis on sustainability and fairness, and the influence of big data becoming more pronounced. As these changes take place, it’s imperative for researchers, policymakers, and practitioners to remain adaptable and flexible, prepared to capitalize on the opportunities and tackle the challenges these trends present.</span></p>

The development of art is closely linked to technological advancements. As a traditional Chinese art form, calligraphy is transformed into data in the era of big data, offering new possibilities and practical pathways for integration with technology. Under the influence of big data, the calligraphy database, educational platforms for calligraphy, the creation and authentication of calligraphy works, and calligraphy research have all been significantly impacted. Big data technologies enable the classification, storage, and retrieval of historical calligraphy works, delving into stylistic features and historical evolution. These advancements provide a rich foundation for the digital preservation of calligraphy, artistic creation and research, the establishment and development of educational platforms, and market analysis of calligraphy. However, the integration of big data and calligraphy also presents challenges, such as the redefinition of calligraphy and its stakeholders, the inability of AI-generated calligraphy to express human individuality, and risks associated with data pollution. KEYWORDS: Big Data; Calligraphy, Artificial Intelligence, Technology, Integration of Art and Technology

The research explores & elaborates on the application & influence of Big Data on the main areas or functions of various financial institutions, mainly commercial banks. Big Data has become an integral part of modern finance & economy. This study aggregates the main factors associated with the application of Big Data over various financial activities. The research also explores the complexities & constraints of Big Data within the lens of financial activities. The research follows a secondary data collection technique by systematically locating & reviewing academic research focusing on Big Data and finance or banking activities. Ultimately, the study provides a comprehensive overview of the fundamental characteristics of Big Data, its applications in financial institutions, related complexities & potential strategies to minimize the complexities.

To adapt to the changing international and domestic circumstance in the new era, the 2022 2nd International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM 2022) was held in Nanjing, China during December 2nd to 4th, 2022 (virtual form). Everyone interested in the fields related to Artificial Intelligence and Intelligent Manufacturing were welcomed to join the online conference and give comments and raise questions to the speeches and presentations.The 2022 2nd International Symposium on Artificial Intelligence and Intelligent Manufacturing is an international academic conference. It built an international platform for the communication and academic exchange among all the participants from related fields, providing a good opportunity for all the participants to share research results, and build global partnership for potential collaboration.The online conference consisted of Keynote Speeches and Oral Presentations, attracting about 50 individuals from all over the world. We have invited three sophisticated professors to perform keynote speeches. Among them, Assoc. Prof. He Chen from Hebei University of Technology, China delivered a wonderful keynote speech on Control Research for Underactuated Cranes with State Constraints. Due to the underactuated properties, less control inputs are used to dominate more degrees of freedom for cranes, which increases the control difficulty. And still the working environment for cranes may be complex, various state constraints should be considered for the control design of cranes to ensure safety. Considering these factors, in this presentation, he proposed three different kinds of control methods with state constraints to deal with different crane transportation issues. He also extended the proposed method to solve the state constraint control problem for a class of underactuated systems. All keynote speakers made brilliant speeches and shared unique professional experience and insights, triggering heated discussion.AIIM 2022 received a great many submissions in the areas of Artificial Intelligence and Intelligent Manufacturing. Each submission was reviewed by at least two expert reviewers and the committee picked out some excellent papers that are included in the proceedings, covering but not limited to the following topics: Artificial Intelligence, Computer Vision, Intelligent Manufacturing, Industrial Design and Manufacturing, etc.On behalf of the Conference Organizing Committee, we would like to thank the Technical Program Committee members and external reviewers for their hard work in reviewing and selecting papers. And we would like to acknowledge all of those who supported AIIM 2022. Particularly, our special thanks go to the Journal of Physics: Conference Series. We deeply appreciate their efforts in making the conference successful.The Committee of AIIM 2022List of Committee Member is available in this pdf.

In this paper, we conduct research on the development of Daur ethnic education under the influence of big data. Life in the river valley of Daur ethnic which is a nationality has a long history, splendid culture and the national spirit of national self-confidence, the foundation of national culture has a strong self-confidence. Combining the concept of big data and data analysis technique to the Daur ethnic education will largely enhance the result of the current education pattern. The survey of the research indicated that we should pay attention to the precious data captured.

Under the influence of big data and artificial intelligence, Network security situation prediction has become a hot research field in recent years. Situation prediction is the premise of cyber security warning. The uncertainty and nonlinearity of situation data bring great challenges to the accuracy of situation prediction models. In order to improve the accuracy and performance of situation prediction model, Combined with Sparrow Search Algorithm and Simplicial Algorithm, this paper proposed a network security situation prediction method based on SA-SSA and utilized SA-SSA to optimize structural hyperparameters of neural network situation prediction model. The method based on SA-SSA has better performance than conventional situation prediction model, it improved the accuracy of neural network model and minimize the training loss. The proposed method was verified in Python. The results show that the method can accomplish the task of situation prediction with better capability.

Chapter 2 - Influence of big data in smart tourism

We are glad to introduce you that the 2021 3rd International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2021) was successfully held on September 10-12, 2021. In light of worldwide travel restriction and the impact of COVID-19, ICAITA 2021 was carried out in the form of virtual conference to avoid personnel gatherings. Because most participants were still highly enthusiastic about participating in this conference, we chose to carry out ICAITA 2021 via online platform according to the original schedule instead of postponing it.ICAITA 2021 is to bring together innovative academics and industrial experts in the field of Artificial Intelligence Technologies and Applications to a common forum. The primary goal of the conference is to promote research and developmental activities in Artificial Intelligence Technologies and Applications and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Artificial Intelligence Technologies and Applications and related areas.This scientific event brings together more than 100 national and international researchers in artificial intelligence technologies and applications. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.We were pleased to invite three distinguished experts to present their insightful speeches. Our first keynote speaker, Prof. Yau Kok Lim, from Sunway University, Malaysia. His research interests include Applied artificial intelligence, 5G networks, Cognitiveradio networks, Routing and clustering, Trust and reputation, Intelligent transportation system. And then we had Prof. Peter Sincak, from Technical University of Kosice, Slovakia. His research includes Artificial Intelligence and Intelligent Systems. Lastly, we were glad to invite Chinthaka Premachandra, from Shibaura Institute of Technology, Sri Lanka. His research interests include Artificial Intelligence, image processing and robotics. In the last part of the conference, all participants were invited to join in a WeChat group to discuss and explore the academic issues after the presentations. The online discussion was lasted for about 30-60 minutes. The first two parts were conducted via online collaboration tool, Zoom, while the online discussion was carried out through instant communication tool, WeChat. The online platform enabled all participants to join this grand academic event from their own home.We are glad to share with you that we still received lots of submissions from the conference during this special period. Hence, we selected a bunch of high-quality papers and compiled them into the proceedings after rigorously reviewed them. These papers feature following topics but are not limited to: Artificial Intelligence Applications & Technologies, Computing and the Mind, Foundations of Artificial Intelligence and other related topics. All the papers have been through rigorous review and process to meet the requirements of international publication standard.Lastly, we would like to express our sincere gratitude to the Chairman, the distinguished keynote speakers, as well as all the participants. We also want to thank the publisher for publishing the proceedings. May the readers could enjoy the gain some valuable knowledge from the proceedings. We are expecting more and more experts and scholars from all over the world to join this international event next year.The Committee of ICAITA 2021List of titles Committee member, General Conference Chair, Technical Program Committee Chair, Academic Committee Chair, Technical Program Committee Member, Academic Committee Member are available in this Pdf.

2023 2nd International Symposium on Intelligent Unmanned Systems and Artificial Intelligence (SIUSAI 2023) was held in Shenzhen, China, on April 21-23, 2023.It aims to bring scientists, researchers, practitioners and industry delegates from academia and industry together to exchange and share their latest research and experiences in the field of Unmanned Systems and Artificial Intelligence. The conference is expected to provide opportunities for advances and collaborations in this field.SIUSAI 2023 is organized by Southwest University of Science and Technology School of Computer Science and Technology, Southwest University of Science and Technology School of Manufacturing Science and Engineering, co-organized by Hohai University, Key Laboratory of Testing for Manufacturing Process, Ministry of Education, Southwest University of Science and Technology, Sichuan Big Data and Intelligent System Engineering Technology Research Center, The International Association of Electrical, Electronic and Energy Engineering (IAEEEE), and supported by CoreShare Academy Exchange Center.The conference contained one day of registration and two full-days program consisting of keynote lectures, oral presentations, video presentations and poster presentations. We would like to express our sincere gratitude to our keynote speakers Pro. Huiyu Zhou from University of Leicester and Prof. Saleh Mobayen from University of Zanjan who shared their newest and outstanding research achievements at the conference.After a couple of months well preparation and hard work, the conference has been held successfully and the proceeding of the 2023 International Symposium on Intelligent Unmanned Systems and Artificial Intelligence (SIUSAI 2023) will be smoothly published soon.On behalf of the conference organizing committee, we would like to show our congratulation and sincere gratitude to all authors, peer reviewers, speakers, oral, Video and poster presenters and listeners. We deeply appreciate their efforts in making the conference an impressive success.List of Committee Members is available in this pdf.