With intelligent technology enabling us to boost efficiency and innovation and minimise risks, the case for AI in business grows. Over time, increased adoption of AI in business will give rise to the autonomous enterprise. The autonomous enterprise will turn current organisational models on its head, it will have a workforce of machines that are augmented by humans. The journey to the autonomous enterprise has already begun; organisations need to understand it, learn about the possibilities and the opportunities it presents, and the changes and risks that may come their way with its adoption. This book is your guide to this innovation, setting these concepts into real world context by covering the art of the possible today and providing glimpses into the future of business.

This new edition explores the ever-evolving landscape of the autonomous enterprise and AI. While many companies have already begun their journey towards high automation and AI-powered operations, the landscape continues to shift rapidly. Building on the success of the first edition, this book has been fully updated and equips corporate decision-makers with the knowledge to navigate this dynamic environment, including the latest trends. This book helps leaders understand the opportunities and risks that the autonomous enterprise presents and how best to navigate the shifting competitive landscape on their journey of change. This book is your guide to this innovation, presenting the concepts in real world contexts by covering the art of the possible today and providing glimpses into the future of business.

"The Self-Driving Company" offers strategic insights to management professionals seeking to navigate the evolving business landscape. This visionary book presents a comprehensive vision of the autonomous enterprise, encompassing key elements such as autonomy, sustainability, humanity, and resilience. Delving into the year 2035 and beyond, it charts a clear path toward the self-driving company and its transformative potential. From understanding the levels of autonomy to exploring the power of software, algorithms, and artificial intelligence, this book equips leaders with the knowledge to shape their organizations for success. Gain practical guidance on overcoming challenges, embracing digitization, and revolutionizing value creation. Discover new forms of organization that transcend hierarchies and learn how automation can optimize interactions with customers, partners, and suppliers. "The Self-Driving Company" also examines the crucial role of humans in this automated ecosystem. With thought-provoking theses and real-world examples, it offers valuable insights into leadership, management, and the evolving roles of knowledge workers, employees, and auxiliary staff. As the future of management unfolds, this book serves as a compass, enabling strategic decision-making and positioning businesses to thrive in an era defined by automation and human potential.

Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.

Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care. With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.

Twenty first century, flexible capitalism creates new demands for those who work to acknowledge that all aspects of their lives have come to be seen as performance related, and consequently of interest to those who employ them (or fire them). At the start of the 21st century we can identify, borrowing from Max Weber, new work ethics that provide novel ethically slanted maxims for the conduct of a life, and which suggest that the cultivation of the self as an enterprise is the life-long activity that should give meaning, purpose and direction to a life. The book provides an innovative theoretical and methodological approach that draws on the problematising critique of Michel Foucault, the sociological imagination of Zygmunt Bauman and the work influenced by these authors in social theory and social research in the last three decades. The author takes seriously the ambivalence and irony that marks many people’s experience of their working lives, and the demands of work at the start of the 21st century. The book makes an important contribution to the continuing debate about the nature of work related identities and the consequences of the intensification of the work regimes in which these identities are performed and regulated. In a post global financial crisis (GFC) world of sovereign debt, austerity and recession the author’s analysis focuses academic and professional interest on neo-liberal injunctions to imagine ourselves as an enterprise, and to reap the rewards and carry the costs of the conduct of this enterprise.

Mohan and Oliver have been very fortunate to have intimate views into the data challenges that face the largest organizations and institutions across every possible industry—and what they have been hearing about for some time is how the business needs to use data and analytics to their advantage. They continually hear the same issues, such as: We're spending valuable meeting time wondering why everyone's data doesn't match up. We can't leverage our economies of scale while remaining agile with data. We need self-serve apps that let the enterprise experiment with data and accelerate the development process. We need to get on a more predictive curve to ensure long-term success. To really address the data concerns of today's enterprise, they wanted to find a way to help enterprises achieve the success they seek. Not as a prescriptive process—but a methodology to become agile and leverage data and analytics to drive a competitive advantage. You know, it's amazing what can happen when two people with very different perspectives get together to solve a big problem. This evolutionary guide resulted from the a-ha moment between these two influencers at the top of their fields—one, an academic researcher and consultant, and the other, a longtime analytics practitioner and chief product officer at Teradata. Together, they created a powerful framework every type of business can use to connect analytic power, business practices, and human dynamics in ways that can transform what is currently possible.