One of the buzzwords in the Information Technology is Internet of Things (IoT). The future is Internet of Things, which will transform the real world objects into intelligent virtual objects. The IoT aims to unify everything in our world under a common infrastructure, giving us not only control of things around us, but also keeping us informed of the state of the things. In Light of this, present study addresses IoT concepts through systematic review of scholarly research papers, corporate white papers, professional discussions with experts and online databases. Moreover this research article focuses on definitions, geneses, basic requirements, characteristics and aliases of Internet of Things. The main objective of this paper is to provide an overview of Internet of Things, architectures, and vital technologies and their usages in our daily life. However, this manuscript will give good comprehension for the new researchers, who want to do research in this field of Internet of Things (Technological GOD) and facilitate knowledge accumulation in efficiently.

The Robotic Process Automation (RPA) is a new wave of the future technologies. Robotic Process Automation is one of the most advanced technologies in the area of computers science, electronic and communications, mechanical engineering and information technology. It is a combination of both hardware and software, networking and automation for doing things very simple. In this light, the research manuscript investigated the secondary data-which is available in google, academic and research databases. The investigation went for totally 6 months, i.e., 1-1-2018 to 30-6-2018. A very few empirical articles, white papers, blogs and were found RPA and came across to compose this research manuscript. This study is exploratory in nature because of the contemporary phenomenon. The keywords used in searching of the database were Robotic Process Automation, RPA, Robots, Artificial Intelligence, Blue Prism. The study finally discovered that Robots and Robotic Process Automation technologies are becoming compulsory as a part to do business operations in the organizations across the globe. Robotic Process Automation can bring immediate value to the core business processes including employee payroll, employee status changes, new hire recruitment and on boarding, accounts receivable and payable, invoice processing, inventory management, report creation, software installations, data migration, and vendor on boarding etc. to name a few applications. Besides, the Robotic Process Automation has abundant applications including healthcare and pharmaceuticals, financial services, outsourcing, retail, telecom, energy and utilities, real estate and FMCG and many more sectors. To put in the right place of RPA in business operations, their many allied technologies are working at the background level, artificial intelligence, machine learning, deep learning, data analytics, HR analytics, virtual reality (second life), home automation, blockchain technologies, 4D printing etc. Moreover, it covers the content of different start-ups companies and existing companies-their RPA applications used across the world. This manuscript will be a good guideline for the academicians, researchers, students, and practitioners to get an overall idea.

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Nowadays the ‘Artificial Intelligence (AI)’ research phenomena is exponentially growing due to its immense applications in all disciplines. That is why all the business corporates are in development of AI products and services in a bigger way. The humanoid robot Sophia, supply chain logistics drones, the Amazon voice recognition Alexa, and Tesla’s self-driving cars are some of the AI and its sister technological footprints in our life. Hollywood movies also witnessed the inevitable role of AI and its solicitations in human life. Hence, to provide quality of life to human beings as well as quality of service in professional life, there need to be more AI innovative solutions. As the concept is contemporary, the study comes under exploratory study however, data have been collected from online databases including Web of Science, Scopus, EBSCO and Google Scholar. The aim of this research paper is to give an overview of AI and its sister technologies of Machine Learning and Deep Learning. Through an in-depth literature review, the manuscript explored many business applications of these technologies. The study revealed that AI, ML and DL applications are exponentially growing in many sectors including banking, insurance, healthcare, e-commerce, social media networking and transportation to name a few. Moreover, the authors also provided VOSviewer’s functionality for displaying bibliometric maps on AI, ML and DL literature analysis. This shows the importance of the phenomenon, authors, countries, journals and year of publications.

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