Overview of artificial intelligence deployment options

Ali Hirsa and Satyan Malhotra
Additional contact information
Ali Hirsa: Columbia University
Satyan Malhotra: ASK2.AI

Journal of Financial Transformation, 2023, vol. 58, 8-23

Abstract: Artificial intelligence is a very powerful application whose time has come. At a quick glance, it can be really seductive to believe, for example, the purveyors of xxxGPT, that its deployment is as simple as pushing a button or is a “data in, miracles out” strategy. However, harnessing it effectively requires navigating a myriad of options embedded within its critical pillars of data, models, and visuals. The complexity is accentuated by the deployer’s capabilities and the organization’s openness to change, as outcomes move from rules to an objective-based spectrum. In navigating these challenges lies the key to optimal deployment.

Keywords: Artificial intelligence; data models; AI deployment (search for similar items in EconPapers)
JEL-codes: C61 C63 G20 O32 O33 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ris:jofitr:3471

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