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Tipping the Scales with AI: Harnessing Data and AI to Enhance Business Value

In: DATA STRATEGY AND AI VALUE CREATION For Data Leaders by Data Leaders

Author

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  • Michael Taylor

Abstract

As more organizations seek to leverage the power of artificial intelligence (AI) to create new efficiencies and a sustainable competitive advantage, data leaders are increasingly spearheading transformational programs. But what is needed to launch an AI project? Can AI outcomes be trusted? What are the main ways in which AI can fail? How can those failures be avoided? What new tools and techniques can help business leaders turbocharge and operationalize their data and AI programs? We will share some best practices, learned from successful machine learning projects at industry-leading clients, that can help data leaders think about AI and data, democratize these capabilities, strengthen the data-to-insight-to-action loop, and realize stronger results.

Suggested Citation

  • Michael Taylor, 2025. "Tipping the Scales with AI: Harnessing Data and AI to Enhance Business Value," World Scientific Book Chapters, in: Wai Fong Boh & Chee Hua (Neumann) Chew & Thara Ravindran (ed.), DATA STRATEGY AND AI VALUE CREATION For Data Leaders by Data Leaders, chapter 11, pages 153-175, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789819800858_0011
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    More about this item

    Keywords

    Data Strategy; Data Governance; Data Quality; Privacy Protection; Artificial Intelligence; Generative AI; Business Value; Innovation; Digital Transformation; Regulations;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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