| dc.contributor.author | Cusumano, Michael | |
| dc.date.accessioned | 2023-10-04T18:04:30Z | |
| dc.date.available | 2023-10-04T18:04:30Z | |
| dc.date.issued | 2023-09-22 | |
| dc.identifier.issn | 0001-0782 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/152372 | |
| dc.description.abstract | This column describes the platform (Large Language Models with APIs) and the ecosystem for applications emerging around the Generative AI technology. The focus is on the different companies in the various layers (foundational models, infrastructure services, horizontal applications, and vertical applications). The discussion then concludes with various areas of concern (market power, content ownership), information accuracy, regulation, and environmental impact). | en_US |
| dc.publisher | ACM|Communications of the ACM | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3615859 | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | Association for Computing Machinery | en_US |
| dc.title | Generative AI as a New Innovation Platform | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Cusumano, Michael. 2023. "Generative AI as a New Innovation Platform." | |
| dc.contributor.department | Sloan School of Management | |
| dc.identifier.mitlicense | PUBLISHER_POLICY | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2023-10-01T07:49:45Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2023-10-01T07:49:45Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
