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
"Human + Machine" by Paul Daugherty and Jim Wilson explores how AI, particularly generative AI, is transforming business processes. The authors provide insights on leveraging AI for innovation and profitability, outlining new hybrid roles and essential principles for becoming an AI-driven organization. This updated edition includes a new chapter on generative AI.
Technology advances are making tech more human, transforming innovation and strategy. In their groundbreaking work, Accenture leaders Paul Daugherty and H. James Wilson illustrate how organizations harness human-machine collaboration to enhance processes and profitability. As AI increasingly influences life and work, companies are shifting towards a technology-led strategy that emphasizes human elements in innovation. This shift, accelerated by the pandemic, fosters technology that is more humane and intelligent. Innovators are moving away from data-hungry AI approaches to data-efficient methods that allow machines to learn like humans. Rather than replacing workers, they are enhancing human expertise to develop human-centered AI. Legacy IT systems are being replaced by adaptable, cloud-first architectures that support billions of connected devices. Strategies are evolving to complement classic business formulas like disruptive innovation. This new IDEAS framework—Intelligence, Data, Experience, Architecture, and Strategy—is reshaping competition. Both industrial giants and startups leverage this framework to create innovative business models, optimize post-pandemic work approaches, rebuild stakeholder trust, and pursue sustainability. With compelling insights and examples across industries, this work will change how you think about and engage with innovation.
AI and data analytics are driving a wave of technological innovations—understand them, cut through the hype, and seize the opportunities. This collection features 10 essential articles that reveal how intelligent machines are transforming business. We've selected key insights from hundreds of Harvard Business Review articles to explain how these technologies interconnect, what the future holds, and how to prepare your company effectively. You'll discover how data analytics and AI provide unprecedented insights, how machine learning is reshaping management and the workforce, and how unmanned vehicles are evolving into practical tools. Additionally, 3-D printing is advancing from rapid prototyping to large-scale production, while augmented reality is enhancing manufacturing and retail experiences. AI assistants and smart speakers are redefining customer-brand interactions, and a coordinated rollout of blockchain has the potential to reshape economies. The HBR's 10 Must Reads series is a definitive resource for both new and experienced leaders, offering inspiration and essential knowledge on leadership, strategy, change, and personal management. Each title distills timeless advice relevant in an ever-changing business landscape, featuring classic ideas and insights from the best thinkers in the field.
Creating and Capitalizing on the Best New Management Thinking
Successful idea management is crucial in today's fast-paced business environment, where new management concepts emerge frequently, each accompanied by enthusiastic advocates and consultants. Selecting the right idea at the right time can enhance a company's efficiency, effectiveness, and innovation. However, choosing poorly or adopting ideas too late can lead to significant setbacks. Davenport and Prusak highlight a vital group of managers they term "idea practitioners," who are instrumental in bringing new concepts into organizations. While thought leaders often receive the spotlight, it is these practitioners who translate ideas into actionable strategies. Drawing from extensive research and experience, the authors provide tools and frameworks for evaluating leading business theories, identifying emerging trends, and differentiating between viable ideas and mere rhetoric. They emphasize the importance of tailoring ideas to fit specific organizational needs, effectively communicating them internally, and ensuring successful implementation. By demonstrating that the issue lies not in the ideas themselves but in their adoption methods, Davenport and Prusak encourage managers to harness the potential of innovative thinking while navigating the accompanying hype. This guide combines passion and practicality to foster the development of forward-thinking companies.
Künstliche Intelligenz ist kein Zukunftsszenario, sondern längst mitten in unserer Arbeitswelt angekommen. Wie werden Mensch und Maschine künftig als Team zusammenarbeiten?