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Many great advances in technology have resulted from risky experimentation, but it's critical to remember and study the spectacular failures that also resulted from some of those risks. Failures can be mundane, like the typical complaints of software projects that are behind schedule and over budget, while others can be much more extravagant. In Computing Calamities, Robert L. Glass has collected war stories from around the industry. Laugh at these mistakes, and learn from them. Someone else's failure could be the foundation of your success.
"Looking back, it was a time of madness: an era when billions of dollars - and even more faith - was placed in dotcom startups with inexperienced management and "Swiss cheese" business plans. Robert Glass's ComputingFailure.com is a powerful chronicle of those years, and something more: a cautionary "worst practices" guide for every entrepreneur and e-Business professional." "Glass carefully chooses his case studies for the insights they impart. The executives quoted and profiled in this book have learned hard, expensive lessons - about building compelling business models, about building compelling business models, about managing growth, and about when to ignore the venture capitalists. They've learned surprising lessons about integrating with bricks-and-mortar parent companies and about what it takes to get marketing, tech, and everyone else on the same page."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive solutions by applying artificial intelligence (AI) and machine learning (ML). This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management. This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations.
Betrayal! Corruption! Software engineering? Industry experts Johann Rost and Robert L. Glass explore the seamy underbelly of software engineering in this timely report on and analysis of the prevalance of subversion, lying, hacking, and espionage on every level of software project management. Based on the authors' original research and augmented by frank discussion and insights from other well-respected figures, The Dark Side of Software Engineering goes where other management studies fear to tread -- a corporate environment where schedules are fabricated, trust is betrayed, millions of dollars are lost, and there is a serious need for the kind of corrective action that this book ultimately proposes.
This edited book entertains a multitude of perspectives on crisis information management systems (CIMS)-based disaster response and recovery management. The use of information technology in disaster management has become the central means for collecting, vetting, and distributing information. It also serves as the backbone for coordination and collaboration between response and recovery units as well as resource management tool. This edited volume aims at covering the whole range of application and uses of CIMS in disaster response and recovery. It showcases coordination and collaboration mechanisms between government agencies, the involvement of non-governmental entities, lessons learned as well as lessons not learned, approaches to disaster resiliency in society, community engagement in disaster/catastrophe responses and recovery, and, particularly, the role of CIMS in response and recovery. Serving as a platform for showcasing recent academic discoveries as well as a knowledge source for practitioners, this volume will be of interest to researchers and practitioners interested in disaster response, public administration, emergency management, and information systems.
With relevant, timely topics, this book gathers carefully selected, peer-reviewed scientific works and offers a glimpse of the state-of-the-art in disaster prevention research, with an emphasis on challenges in Latin America. Topics include studies on surface frost, an extreme meteorological event that occasionally affects parts of Argentina, Bolivia, Peru, and southern Brazil, with serious impacts on local economies; near-ground pollution concentration, which affects many industrial, overpopulated cities within Latin America; disaster risk reduction and management, which are represented by mathematical models designed to assess the potential impact of failures in complex networks; and the intricate dynamics of international armed conflicts, which can be modeled with the help of stochastic theory. The book offers a valuable resource for professors, researchers, and students from both mathematical and environmental sciences, civil defense coordinators, policymakers, and stakeholders.