Authors : Shivang Raval; Rushil Shah

Volume/Issue : Volume 9 - 2024, Issue 10 - October

Google Scholar : https://tinyurl.com/399b94wb

Scribd : https://tinyurl.com/bdzzdtte

DOI : https://doi.org/10.38124/ijisrt/IJISRT24OCT1856

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : ML deployment platforms have transformed the adoption of AI in business by reducing the technical barriers and costs associated with building and deploying AI models. Among these are Baseten, Bananas.dev, Stagelight AI, Replicate, and Modal Labs, to name a few accessible solutions that work for businesses ranging from startups to large enterprises. This paper discusses the socio-economic benefits of these platforms, especially their business efficiency, scalability, transformation in the workforce, and growth of the economy. In comparative analysis, we will examine each unique feature of these platforms, such as how easy they are to use, how easily they can be customized, and their scalability, which allows us to make some observations regarding their applicability to specific businesses. Utilising comparative analysis, performance benchmarking, and case study support empirical evaluation of their peculiarities and demonstrate their cross sectoral relevance.

Keywords : Machine Learning, AI Platforms, Baseten, Deployment Platforms, Business Efficiency, Economic Growth, SMEs.

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