Periodical
The pathbreakers building India’s AI stack.
| Τίτλος: | The pathbreakers building India’s AI stack. |
|---|---|
| Συγγραφείς: | G., Shrikanth shrikanthg@cybermedia.co.in |
| Πηγή: | Dataquest. Jul2026, Vol. 42 Issue 7, p20-23. 4p. |
| Θεματικοί όροι: | *Artificial intelligence, *Workflow management, *Information technology, Robot vision, Speech perception, Variation in language |
| Γεωγραφικοί όροι: | India |
| Περίληψη: | The article focuses on Sarvam AI, co-founded by Dr. Vivek Raghavan and Dr. Pratyush Kumar, which is building foundational, sovereign artificial intelligence (AI) tailored to India’s linguistic diversity, operational complexity, and public infrastructure needs. Sarvam AI develops a full-stack AI platform encompassing research, models, products, and large-scale deployment across speech, vision, and enterprise workflows, aiming to create practical AI systems that work in real-world Indian contexts such as noisy calls, handwritten documents, and multilingual environments. The company emphasizes building AI with public purpose and scale, drawing parallels to India’s Aadhaar digital identity system, and advocates for a layered AI ecosystem combining open capabilities, public infrastructure, and enterprise platforms. Sarvam AI’s work represents a strategic effort to establish India’s independent AI capability that supports population-scale use cases while addressing technical, operational, and governance challenges unique to the country. [Extracted from the article] |
| Copyright of Dataquest is the property of Cyber Media India Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Business Source Index |
| FullText | Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The pathbreakers building India’s AI stack. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22G%2E%2C+Shrikanth%22">G., Shrikanth</searchLink><i> shrikanthg@cybermedia.co.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Dataquest%22">Dataquest</searchLink>. Jul2026, Vol. 42 Issue 7, p20-23. 4p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Workflow+management%22">Workflow management</searchLink><br />*<searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink><br /><searchLink fieldCode="DE" term="%22Robot+vision%22">Robot vision</searchLink><br /><searchLink fieldCode="DE" term="%22Speech+perception%22">Speech perception</searchLink><br /><searchLink fieldCode="DE" term="%22Variation+in+language%22">Variation in language</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article focuses on Sarvam AI, co-founded by Dr. Vivek Raghavan and Dr. Pratyush Kumar, which is building foundational, sovereign artificial intelligence (AI) tailored to India’s linguistic diversity, operational complexity, and public infrastructure needs. Sarvam AI develops a full-stack AI platform encompassing research, models, products, and large-scale deployment across speech, vision, and enterprise workflows, aiming to create practical AI systems that work in real-world Indian contexts such as noisy calls, handwritten documents, and multilingual environments. The company emphasizes building AI with public purpose and scale, drawing parallels to India’s Aadhaar digital identity system, and advocates for a layered AI ecosystem combining open capabilities, public infrastructure, and enterprise platforms. Sarvam AI’s work represents a strategic effort to establish India’s independent AI capability that supports population-scale use cases while addressing technical, operational, and governance challenges unique to the country. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Dataquest is the property of Cyber Media India Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 20 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Workflow management Type: general – SubjectFull: Information technology Type: general – SubjectFull: Robot vision Type: general – SubjectFull: Speech perception Type: general – SubjectFull: Variation in language Type: general – SubjectFull: India Type: general Titles: – TitleFull: The pathbreakers building India’s AI stack. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: G., Shrikanth IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 0970034X Numbering: – Type: volume Value: 42 – Type: issue Value: 7 Titles: – TitleFull: Dataquest Type: main |
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