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Titlebook: Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment O; Francesco Corea Book 2017 The Author

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樓主: misperceive
11#
發(fā)表于 2025-3-23 13:13:02 | 只看該作者
Conclusions and Strategic Recommendations,ts unique features that are sometimes not intuitive to deal with. These features may be noticed in the business structure (“the DeepMind strategy”) as well as in the product nature itself (“the 37–78 paradigm”). In this chapter, we also present a very useful tool to classify AI companies, i.e., the
12#
發(fā)表于 2025-3-23 14:21:11 | 只看該作者
https://doi.org/10.1007/978-3-031-65475-6ng about 14,000 companies operating in AI, machine learning, big data and robotics space, and we will identify important features that attract the investors’ attention. In addition, we will provide a comprehensive list of the major players, investors, and accelerators of AI startups.
13#
發(fā)表于 2025-3-23 18:25:19 | 只看該作者
14#
發(fā)表于 2025-3-23 22:38:45 | 只看該作者
Advancements in the Field,actors of the new AI revolution, meaning algorithms and data, knowledge of the brain structure, and greater computational power. The goal of the chapter is to give an overview of the state of art of these three blocks in order to understand what AI is going toward.
15#
發(fā)表于 2025-3-24 05:57:07 | 只看該作者
16#
發(fā)表于 2025-3-24 08:54:06 | 只看該作者
Investing in AI,ng about 14,000 companies operating in AI, machine learning, big data and robotics space, and we will identify important features that attract the investors’ attention. In addition, we will provide a comprehensive list of the major players, investors, and accelerators of AI startups.
17#
發(fā)表于 2025-3-24 11:10:12 | 只看該作者
18#
發(fā)表于 2025-3-24 16:44:49 | 只看該作者
19#
發(fā)表于 2025-3-24 21:29:37 | 只看該作者
20#
發(fā)表于 2025-3-24 23:24:01 | 只看該作者
Conclusions and Strategic Recommendations,ts unique features that are sometimes not intuitive to deal with. These features may be noticed in the business structure (“the DeepMind strategy”) as well as in the product nature itself (“the 37–78 paradigm”). In this chapter, we also present a very useful tool to classify AI companies, i.e., the AI matrix.
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