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Blockchain technology has led the evolution of double entry accounting system to triple entry accounting system. Triple entry accounting is an innovative, promising and potential accounting method when implemented properly would be a game changer for dissemination of accounting information. It is an efficient way to address fundamental concerns of accounting information. This chapter discusses the triple entry accounting system, how it is different from double entry accounting and what are the concerns in implementing triple entry accounting. Triple entry accounting holds the potential to fundamentally evolve accounting practices, can enhance the effective utilisation and sustainable management of resources, and can contribute in development of financial markets.

Machine learning is an algorithmic-based auto-learning mechanism that improves from its experiences. It makes use of a statistical learning method that trains and develops on its own without the assistance of a person. Data, characteristics deduced from the data, and the model make up the three primary parts of a machine learning solution. Machine learning generates an algorithm from subsets of data that can utilise combinations of features and weights different from those obtained from basic principles. In this paper, an analysis of customer behaviour is predicted using different machine learning algorithms. The results of the algorithms are validated using python programming.

This research focuses on the challenges of establishing a better medical system that can detect and diagnose diseases earlier. Using such cutting-edge health systems, healthcare practitioners may quickly and effectively manage patients’ medical issues by providing the appropriate data at the right time about the right people. The advancement of technology has increased the usefulness of devices that routinely analyse health measurements or monitoring time-sensitive health-related data. Medical professionals and patients alike are downloading health-related mobile apps to better track and manage their health. The research evidences how Internet of Things (IoT) technology may be used to support health care.

This research examines Indian women entrepreneurs’ endeavours to keep their undertakings above water amid the COVID-19 emergency in 2021–2022. This study centers around female-possessed endeavours in Rajasthan, with a particular spotlight on how artificial intelligence (AI) assists them in getting by. It examines how Indian women entrepreneurs used social media to stay in business during the pandemic and adds to information collection by inspecting women-claimed micro and small enterprises (MSEs) and their use of AI through social media during COVID-19. We administered a questionnaire to a sample of 100 female entrepreneurs who use social media platforms to manage their businesses. The researchers found that the pandemic fundamentally affects women entrepreneurs, especially those who run MSEs, using an anti-tactical approach to deal with survey information from 100 respondents. Women have seen a drop in pay because of lower deals, hindered supply chains, and the inconvenience of paying credit portions. Regardless of how women entrepreneurs are especially delicate to monetary shocks, most need to approach government or private-area help. The significance of virtual entertainment through AI in saving women’s ventures is featured in this review. Web-based entertainment has become famous for helping women sell their businesses, contact new clients, and keep current clients. Women entrepreneurs have reduced their losses as a result of forceful advancements supplemented by appealing offers like limits, various administrations, and advertising. We infer that during an emergency, women entrepreneurs embraced innovative methods to keep their businesses reasonable.