variables: 959834
Data license: CC-BY
This data as json
id | name | unit | description | createdAt | updatedAt | code | coverage | timespan | datasetId | sourceId | shortUnit | display | columnOrder | originalMetadata | grapherConfigAdmin | shortName | catalogPath | dimensions | schemaVersion | processingLevel | processingLog | titlePublic | titleVariant | attributionShort | attribution | descriptionShort | descriptionFromProducer | descriptionKey | descriptionProcessing | licenses | license | grapherConfigETL | type | sort | dataChecksum | metadataChecksum |
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959834 | Organizations reporting having adopted AI | % | 2024-07-29 17:27:33 | 2024-07-29 17:27:34 | 2021-2023 | 6644 | % | { "unit": "%", "shortUnit": "%", "numDecimalPlaces": 1 } |
0 | pct_of_respondents | grapher/artificial_intelligence/2024-06-28/ai_adoption/ai_adoption#pct_of_respondents | 2 | minor | Share of companies using AI technology (e.g., machine learning, computer vision, or natural language processing) in at least one business function. | [ "Share of respondents who reported that their organizations have adopted AI in at least one function, with a breakdown by region. The regional groupings, as defined by McKinsey & Company, classify countries into specific categories. The \"Developing Markets\" grouping includes countries such as India, Latin America, and the Middle East and North Africa (MENA). The \"Greater China\" grouping includes Hong Kong and Taiwan.", "The number of companies that respond to the survey varies between years and ranged between 1365 and 1843 between 2021 and 2024." ] |
{ "note": "Companies represent a range of industries, sizes, functional specialties, and tenures. To adjust for differences in response rates, the data are weighted by the contribution of each respondent\u2019s nation to global GDP." } |
float | [] |
2152903b9c32e993139a246d7755160a | a4605b4cb06f65e4591832ec64aa3213 |