数据在人工智能初创企业成长中的作用

IO: Productivity Pub Date : 2021-06-01 DOI:10.2139/ssrn.3896463

James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert C. Seamans

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引用次数: 14

摘要

人工智能(AI)产品有望推动经济增长。培训数据对于开发人工智能产品的公司很重要;没有培训数据，公司就无法开发或改进他们的算法。对于开发新算法和产品的人工智能初创公司来说，情况尤其如此。然而，对于训练数据的哪些方面是最重要的，文献中并没有达成共识。通过对人工智能初创公司的独特调查数据，我们发现，能够获得专有培训数据的初创公司更有可能获得风险投资资金。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Role of Data for AI Startup Growth

Artificial intelligence (“AI”)-enabled products are expected to drive economic growth. Training data are important for firms developing AI-enabled products; without training data, firms cannot develop or refine their algorithms. This is particularly the case for AI startups developing new algorithms and products. However, there is no consensus in the literature on which aspects of training data are most important. Using unique survey data of AI startups, we find that startups with access to proprietary training data are more likely to acquire venture capital funding.

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来源期刊

IO: Productivity

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