Artificial Intelligence (AI) is part of our everyday life, even in small daily tasks. However, it is necessary to study the challenges and implications of artificial intelligence on business management. Leaders and organizations need to properly prepare the strategy according to the assumptions of the new era. This is not just a concern about the future of work, since it is likely that robots will take over some jobs. It is more than that, because if AI is going to bring benefits to humans, society itself needs to be prepared at all levels.
Leaders have a fundamental role because only with their commitment will be possible to take advantage of AI to increase the productivity of their organizations and the quality of life of their communities. Leaders, as drivers of innovation, need to leverage the combination of data, technology, design and people to solve real problems at enterprise scale. This book is intended to support leaders and organizations in the process of transitioning into the new era by promoting successful AI initiatives, prioritizing the right opportunities, building a diverse team of experts, developing strategic experiments, and designing solutions that benefit the organization and society. In today's context, leaders and organizations must make concrete business decisions through applications of artificial intelligence and machine learning in order to maintain their competitiveness and sustainability.
Researchers from all disciplines, covering business, social and human sciences and computer and data sciences, working on a range of possible project themes. This project will emphasize the importance of IA in the current and future organizational context. Learning and development are fundamental to the digital and technological world. Researchers will be encouraged to push the boundaries of their respective disciplines and see how theories and methodologies can be used to design rich research projects in the study of complex AI dynamics and interactions. This project is an opportunity to engage various stakeholders, including professionals from public and private companies, human resources professionals, data specialists, academics, and researchers from various countries.