Crisis management planning refers to the methodology used by executives to respond to and manage a crisis and is an integral part of a business resumption plan. Crisis Management Planning and Execution explores in detail the concepts of crisis management planning, which involves a number of crises other than physical disaster. Defining th
Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.
Social work ethics provide practitioners with guidance on how to promote social work values such as respect, social justice, human relationships, service, competence, and integrity. Students entering the profession need to develop a real-world understanding of how to apply these values in practice while also managing the dilemmas that arise when social workers, clients, and others encounter conflicting values and ethical obligations. Ethics and Values in Social Work offers a comprehensive set of teaching and learning materials to help students develop the knowledge, self-awareness, and critical thinking skills required to handle values and ethical issues in all levels of practice--individual, family, group, organization, community, and social policy. BSW and MSW students will particularly appreciate how complex ethical obligations and theories have been translated into plain language. Additionally, the comprehensive set of case examples and exercises provides realistic scenarios to develop critical thinking and problem solving skills across a range of practice situations.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.