Showing results for "H -Control Theory" in Computers & Technology

This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.

In this book, you'll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI? Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.

This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work.

The New Science of Customer Relationships: Delivering the One-to-One Promise with AI is a science-based and insightful new approach to integrating the latest generative AI technologies into your company's customer communications. Analytics and marketing experts Thomas Davenport and Jim Sterne walk you through the technology and tools you need to understand, the data you need to collect, the processes you need to implement, and the ethics you need to observe to build an industry-leading customer relationship framework.

Plattformen wie YouTube, Facebook, Twitter oder Amazon sind die neuen sozialen Magneten - Clanbildner einer sich anbahnenden globalen digitalen Stammesgesellschaft. Während die herkömmlichen sozialen Bindungskräfte von Familien, Institutionen, Parteien, Verbänden und Staaten zunehmend schwinden, entstehen um digitale Plattformen wimmelnde Kollektive, die sich wie Schwärme oder Horden ausnehmen. Ihre Benutzer sind "Follower", digitale Gefolgschaft hält die neuen Clans zusammen.

In their groundbreaking book Human + Machine, Accenture technology leaders Paul Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their businesses and their bottom lines. Now those companies and other pioneers across industries are reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift - how artificial intelligence is becoming less artificial and more intelligent.

In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. It's both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era.