Throughout the last couple of years, Artificial Intelligence (AI) has come under consideration as a revolutionizer of numerous sectors in which the non-profit sector is involved is not an exception. AI intervention can be applied to the non-profit techniques in a way that this paper seeks to explain the extent of the success that can be realized. It discusses AI’s role in the non-profit organizations and pinpoints technologies like data analysis, AI-based fundraising solutions, program assessment, and chatbots to engage the donors. The paper also reviews general issues associated with the application of AI solutions including inadequate funds, dearth of specialists in AI and data privacy issues, and come up with measures to mitigate these challenges. It also elaborates on the evaluation indicators of the degree of AI impact in non-profits such as, efficiency increment indicators, fundraising indicators, changes in the programs, and indicators of stakeholders. The conclusions are that it is possible to achieve the positive impact on the function of distinctive non-profit organizations through the successful application of AI.

In the current world economy that is characterized by dynamism, it has become a norm for the business environment to present volatilities and uncertainties. It is for this reason the various organizations must possess measures that enable them respond aptly to these challenges, as a way of ensuring that it remains strong and operational always. Therefore, this paper undertakes a study on the increased centrality of strategic management in the management of economic unpredictability with particular reference to the need for flexibility, and proactive planning. As a part of a set of detailed case studies, in this paper, we compare different strategies and approaches that helped brands and companies get through the critical period and be resilient enough to come out of the economic downturns. Moreover, this paper focuses on the possible leadership approaches and leadership effectiveness in dealing with crisis, as well as to analyze the importance of great leadership in managing the organization during crises. Here we specify various descriptors and actions of the leaders who managed to maintain their organizations’ stability during an economic crisis and discuss the effective leadership practices for the organization’s resilience. Also, it contains some guidance on how to construct robust business models capable of handling atrocious economic conditions and achieving constant growth. The principles provided in this publication are generated basing on theory and supported by available research findings, and thus can serve as a handy business management manual for professional executives.

This vision argues the changing paradigms and nature of economy thanks to Artificial Intelligence (AI) in the US and beyond the country. AI's economic impact analysis is achieved through a descriptive review of the AI's birth and life from its inception to current highly sophisticated applications. This life and death review also analyzes key economic sectors, for example, finance, manufacturing, and services influenced by AI. Executing a multi-purpose approach that uses both data analysis and comparative case studies to the research, statistics show that there are major differences in the way AI technologies are integrated and then come up with the outcome of the economy in different economic frameworks. The research show that between the USA and other countries, AI has been remarkable in the sense that such innovations and efficiencies have been realized with growth rates varying. There are multi-factors that differ which lead to the disparity of impact for instance; technological readiness and standards of law in the countries. In addition, this work exposes the problematic aspects of adoption of AI integration and the ethical considerations which should be taken care of through policies that facilitate innovation but also contributes to addressing disparities and ethical issues. AI will be a core driver in the process of global economic transformation, which means the labour of those in positions of power will be directed to the strategic planning in order to smoothly integrate new powerful technologies into their respective industries. This paper to the ongoing debate about the place of AI in financial development, aimed at providing useful outcomes

Concerning the present-day growth of the urban populations across the globe, it is pertinent that new and efficient ways of handling the present-day cities are devised. Relative to this fashion, this paper aims to envisage the use of Internet of Things in partnership with data science for smart city solutions. IoT stands for the Internet of Things and allows devices, systems and services to be connected, collect real time data and analyze them. This data is used by the data science process to enable proper analysis and guide the running of the city with the aim of delivering better living standards for the people. Altogether applied case studies on the smart city from this paper investigates how IoT and data science are utilized to solve some of these issues such as traffic, energy and security. It also expands the issues of data management and security when countless IoT devices are connected and generating big data. The paper also analyses new trends and future developments, which may expand the application possibilities of smart cities, and enhance the existing smart structures. This paper highlights the current and possible issues with implementing smart cities and can act as a guide and pos all future work in the said field.