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Zeki:2024年全球AI公司报告:创新与人才(中译版)(45页).pdf

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1、AI COMPANIES 2024|1AI COMPANIES 2024AI COMPANIES 2024|2Table of contentsThe report is subject to a customary disclaimer on liability,ownership and limitations of use.Click here to read the full disclaimer.ABOUT ZEKI 3 DATA AND METHODOLOGY 5 CHAPTER ONE TOP TALENT CREATES MORE IP 11 CHAPTER TWO CAUTI

2、ONARY TALES:AI WASHING IS 14 ALIVE AND WELL CHAPTER THREE TOP TALENT EXITS OPENAI 20 AS US AI HIRING PEAKS CHAPTER FOUR LEADERS OF THE PACK:INDUSTRY OUTLIERS 29 CHAPTER FIVE MEDICAL TECHNOLOGY DOMINATES 36 SECTOR GROWTH INDEX COMPANIES NAMED IN REPORT 41 AI COMPANIES 2024|3Zeki can predict a company

3、s future innovation potential About ZekiWe hold the most accurate set of deep-tech human capital intelligence data ever created.Zeki,through proprietary intellectual property(IP),is able to identify the deep tech companies that should hold a higher value ahead of the market,as well as the specific i

4、nnovators who enable this.Our data contains over one million top scientists,engineers and researchers working in deep tech in the fields of AI,quantum computing,data engineering,semiconductors and health technology at more than 40,000 companies globally.The datas quality and uniformity enables Zeki

5、to forecast future potential using proven,back-tested models.We have extracted more than one billion data points from eight terabytes of data,tracking back 10 years.Our novel approach uses advanced data integration to identify,match,disambiguate and verify every individual in Zekis datasets.We have

6、developed 20 indicators that can be applied to each individual,describing their areas of expertise and gender and scoring their professional impact,technical skills and experience,career progression and positioning,ambition,reputation and future potential.Organisations may leverage Zeki data to opti

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本文主要内容为Zeki Research发布的2024年AI公司报告,报告通过分析全球AI领域顶尖人才流动和公司创新潜力,为投资者提供AI公司投资机会和风险评估。报告指出,顶尖AI人才对公司的创新和知识产权产出有显著正面影响,并发现医疗技术领域在吸引顶尖AI人才方面领先。报告还指出,随着美国AI人才招聘高峰期过去,大型科技公司开始聚焦于保留顶尖人才,而非大规模招聘。此外,报告还分析了部分行业领导者在AI领域的战略决策,以及AI公司在人才保留方面的表现。
医疗技术领域为何吸引顶级AI人才? 哪些公司正在失去顶尖AI人才? 如何评估公司创新潜力?
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