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Artificial intelligence (AI), Blockchain, and the Internet of Things are all new technologies impacting people's lives. These technologies can change how we communicate, run our businesses, and even how governments work for their people. Artificial intelligence has disrupted the way traditional marketing practices are conducted and changed how business processes are done. Organizations and governments increasingly turn to artificial intelligence (AI) to improve customer experience, operational efficiency, fraud detection, and cyber security. The revolutionary buzzword, artificial intelligence (AI), has transformed our personal and professional lives. Industry 4.0 considers AIadoption significant due to its potential benefits. Since its inception, it has presented several possibilities and difficulties to various businesses. As a result, several AI-powered technologies have been created, and they have the potential to raise significantly living standards while also boosting the economy. This paper has conducted a conducive study of the marketing tools and techniques that adopt AI while looking through the loopholes to suggest howAI can be adopted quickly into the day-to-day lives of the human race. Based on this, it has recommended a course of action for India that entails the development of infrastructure, policies and rules, research and development, and humanresources. It is necessary for all parties involved to gather and address these problems. Infrastructure development, applications in the public sector, policy & regulation, technological development, and human resource development are all key responsibilities of the government. However, with the assistance of business, they may be accomplished effectively. For this study, the authors have employed secondary data. Future empirical studies might be conducted to compare the development of artificial intelligence technology in India to that of other emerging nations. The study is based on secondary data to demonstrate the development of artificial intelligence technology in India and overseas. However, empirical research may be conducted in the future. The writers' original points of view are presented in the article. [ABSTRACT FROM AUTHOR]

The phrase "Fintech" (Financial Technology) refers to software and other cutting-edge technology utilized by companies that offer automated and enhanced financial services. It is a term used to describe a new technology designed to enhance and automate the provision of financial services. With 6,636 FinTech businesses, India has the highest rate of FinTech adoption internationally and is one of the fastest-growing Fintech industries. India has made significant progress in the area of digital payments, recording over 5.7 BN transactions each month in September of this year, amounting to about $2 TN (Total Digital Payments). India will surpass the combined total of the US, UK, and China in terms of real-time online transaction volume in 2020 with 25.5 Bn real-time payments transactions. This survey paper elaborates on different aspects of the Fintech sector in India, and various issues faced by many prominent fintech companies like unbanked population, regulation, technology integration, user experience, etc. It also describes technologies that underpin fintech business models, including blockchain technology, machine learning, artificial intelligence (AI), Cloud computing, the Internet of Things, etc. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) has infiltrated nearly every aspect of life. The healthcare industry has become one of the most popular applications for IoT and related technologies like Artificial Intelligence, etc. IoT infrastructures and solutions are used in smart healthcare. By making use of wearable and mobile devices, IoT-based smart healthcare systems have added great value to the healthcare domain. This leads to a significant increase in the use of health data sharing for a more accurateand timely diagnosis. Its mainstream adoption, however, remains a elusive dream. The major drive behind this is ensuring the data and participating entities' security and privacy at all costs. Smart healthcare systemsare at risk to a variety of security flaws and malicious attacks, including data leakage, tampering, forgery, and so on. To address this, green blockchain technology has come to light as a practical way of enhancing data security and privacy for both users as well as data. Through the avalancheof medical information created by e-medical records and other mechanisms based on Information Communication Technology (ICT), a plethora of applications has been discovered usinggreen blockchain in the medicare industry. Conventional healthcare procedures are swiftly adopting present-day technologies in order to make the transition to smart healthcare ecosystems. The main factors driving this transition are theend-user's convenience and user-friendliness. Even with the use of Smart Healthcare Systems (SHS), there are several obstacles in the transparency, security, and safety of data and its consumers. This paper providesa comprehensive overviewof green blockchain's use in the healthcare industry. It also puts forth a green blockchain-based SmartHealthcare Securitystructure to ensure the system's inherent security and integrity. [ABSTRACT FROM AUTHOR]

Bitcoin in the last decade, has become increasingly popular as a form of electronic currency. This paper aims to review the status and visual map position of research in the internationally Bitcoin studies indexed Scopus that used a bibliometric positioning overview. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 3,281 documents issued from 2011 through 2019. The study reveals that Bouri, E. and Chinese Academy of Sciences, Studies were the most active individual scientists and affiliated institutions in Bitcoin studies. In bitcoin studies, the Computer Science and Lecture Notes in Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics were the most areas of study and dissemination sources. There were one worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from eight years of publication, this study constructed a convergence axis grouping comprising of bitcoin studies: Bitcoin, E-Finance, Blockchain, Privacy, Cybercrime, Computation, and Systems, abbreviated as the theme BFBPCCS. [ABSTRACT FROM AUTHOR]

Bitcoin in the last decade, has become increasingly popular as a form of electronic currency. This paper aims to review the status and visual map position of research in the internationally Bitcoin studies indexed Scopus that used a bibliometric positioning overview. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 3,281 documents issued from 2011 through 2019. The study reveals that Bouri, E. and Chinese Academy of Sciences, Studies were the most active individual scientists and affiliated institutions in Bitcoin studies. In bitcoin studies, the Computer Science and Lecture Notes in Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics were the most areas of study and dissemination sources. There were one worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from eight years of publication, this study constructed a convergence axis grouping comprising of bitcoin studies: Bitcoin, E-Finance, Blockchain, Privacy, Cybercrime, Computation, and Systems, abbreviated as the theme BFBPCCS. [ABSTRACT FROM AUTHOR]

Data is the integration of various AI (AI) algorithms for important features, the online details are scattered everywhere and controlled separately who do not believe in each other, and the use of information in complex Cyberspace. Too fast and hard to authorize or verify. Because of this, it is very difficult to enable data sharing on cyberspace of big data important, and as a matter-of-fact powerful AI. In this paper, we propose Secretary Network, I construction that will keep data safe, computer programming, and sharing within the Internet environment, aimed at a real cyber safe real estate data and thus improve AI with multiple data sources, with to combine three key elements: Block proprietary data sharing guarantee, which allows for reliable data sharing within a large area to make real big data; Creating a reliable cyberspace, based on AI a secure computer platform is used for mass production smart safety rules. A reliable way to exchange the purchase price Security, they provide the way participants can see economic rewards when releasing their data or service, which encourages the sharing of information and thus achieves better AI performance. Moreover, we talk standard usage of Sec Net and its another possible method, as well as analysis its effectiveness from the aspect of network security and economic revenue. [ABSTRACT FROM AUTHOR]