AI Bibliography
AI Bibliography |
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Daugherty, P. R., & Wilson, H. J. (2018). Human + machine: Reimagining work in the age of ai. Harvard Business Review Press. |
| Resource type: Book ID no. (ISBN etc.): 9781633693876 BibTeX citation key: Daugherty2018 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Computer Science, General, Military Science Subcategories: Augmented cognition, JADC2, Psychology of human-AI interaction Creators: Daugherty, Wilson Publisher: Harvard Business Review Press Collection: |
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Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. |