Data to AI: Building a solid data foundation for your generative AI applications in the cloud

JOBIN GEORGE

doi:10.30574/ijsra.2024.11.1.1056

ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

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Data to AI: Building a solid data foundation for your generative AI applications in the cloud

JOBIN GEORGE ^*

Partner Engineering Lead, Data Analytics, Google Cloud.

Review Article

International Journal of Science and Research Archive, 2024, 11(01), 2601–2604.

Article DOI: 10.30574/ijsra.2024.11.1.1056

DOI url: https://doi.org/10.30574/ijsra.2024.11.1.1056

Publication history

Received on 13 December 2024; revised on 24 February 2024; accepted on 26 February 2024

Abstract

In the age of artificial intelligence (AI) and big data, the burgeoning field of generative AI presents unique opportunities for innovation and problem-solving. However, the effectiveness of generative AI applications is heavily contingent upon the quality and structure of the underlying data. This paper discusses the importance of establishing a solid data foundation for generative AI applications deployed in the cloud. By examining the interplay between data management, cloud infrastructure, and AI capabilities, this article aims to elucidate best practices for organizations looking to harness the power of generative AI effectively.

Keywords

Artificial Intelligence; Cloud; Big Data; Analytics; GenAI; Data

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How to cite this article

JOBIN GEORGE. Data to AI: Building a solid data foundation for your generative AI applications in the cloud. International Journal of Science and Research Archive, 2024, 11(01), 2601–2604. Article DOI: https://doi.org/10.30574/ijsra.2024.11.1.1056

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