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Generative AI: The Insights You Need from Harvard Business Review

David De Cremer, Harvard Business Review, Prabhakant Sinha, et al.

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Naturwissenschaften, Medizin, Informatik, Technik / Informatik, EDV

Beschreibung

The future of AI is here.

The world is transfixed by the marvel (and possible menace) of ChatGPT and other generative AI tools. It's clear Gen AI will transform the business landscape, but when and how much remain to be seen. Meanwhile, your smartest competitors are already navigating the risks and reaping the rewards of these new technologies. They're experimenting with new business models around generating text, images, and code at astonishing speed. They're automating customer interactions in ways never before possible. And they're augmenting human creativity in order to innovate faster. How can you take advantage of generative AI and avoid having your business disrupted?

Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI.

Business is changing. Will you adapt or be left behind?

Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.

You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future.

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Schlagwörter

AI, artificial intelligence, generative AI, GenAI, GAI, ChatGPT, Stable Diffusion, Midjourney, Dall-E, technology, information technology, prompt engineering, data, machine learning, ML, natural language processing, tech, strategy, jobs, creativity, creative work, AI assistants, automation, algorithms, code, new business models