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Cognitive computing-based sourcing intelligence

Author

Listed:
  • Bayba, David

    (Intel Global Supply Chain, Intel Corporation, Mailstop CH3-331, USA)

  • Janakiram, Mani

    (Intel Corporation, Mailstop CH3-331, USA)

Abstract

Artificial intelligence (AI) and cognitive computing (CC)-based solutions are bringing about major changes in the way people live and work. For example, through AI-based navigation on smartphones it has become effortless to find a good, specific type of restaurant in an unfamiliar city. Soon a person will not even have to think about getting to the restaurant because the car will drive itself there. Similarly to navigation of the physical landscape, CC can be used to more efficiently and effectively navigate the supplier landscape. Which vendor is good at what? Which vendor is making progress and developing capabilities in areas of interest? Which vendor may be in organisational turmoil? These are just a few examples of questions that cognitive computing supply chain systems can help answer.

Suggested Citation

  • Bayba, David & Janakiram, Mani, 2020. "Cognitive computing-based sourcing intelligence," Journal of Supply Chain Management, Logistics and Procurement, Henry Stewart Publications, vol. 2(4), pages 342-352, June.
    • Handle: RePEc:aza:jscm00:y:2020:v:2:i:4:p:342-352
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    More about this item

    Keywords

    cognitive computing; natural language processing; big data; unstructured;
    All these keywords.

    JEL classification:

    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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