Multimodal Artificial Intelligence: Creating Strategic Value from Data Diversity

Cristián Bravo ()
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Cristián Bravo: Western University, Postal: Department of Statistical and Actuarial Sciences, 1151 Richmond St, London, ON, N6A 5B7, Canada, https://www.uwo.ca/stats/people/bios/cristin_bravo_roman.html

Journal of Financial Transformation, 2025, vol. 60, 38-45

Abstract: The modern revolution of artificial intelligence has a benefit that is not spoken about enough: it allows the use of diverse data from multiple sources and of multiple types (multimodal data), such as video, audio, or images, in an efficient, and more importantly, effective, manner. While this is much closer to how experts make decisions, the challenges are that it must be done profitably, while considering the internal culture and the operational systems that are available to ensure a positive ROI. In this work, I summarize some of the advantages and point out some of the challenges in creating effective, useful, AI systems that leverage multimodal data.

Keywords: Artificial Intelligence; Multimodality; Management (search for similar items in EconPapers)
JEL-codes: O32 O33 (search for similar items in EconPapers)
Date: 2025
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