Published: 13 July 2023
Data and analytics leaders must assess the potential benefits and cost of new generative AI investments. Experimentation can be done inexpensively for most use cases, but this research provides a decision framework for assessing and realizing value from enterprise generative AI initiatives.
Quick wins expected from generative AI (GenAI) productivity assistants such as Microsoft 365 Copilot and Google Workspace have low barriers to adoption but, by themselves, may deliver diminishing competitive differentiation over time. How these capabilities are integrated with other business processes can provide a competitive moat for enterprises.
Investments in use cases that leverage GenAI embedded in domain and industry applications or custom applications have the potential to improve specific business processes. They can leverage enterprise data in unique ways for differentiation and provide more defensible competitive advantage than quick wins, but come with higher and more unpredictable costs and
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Analysts:
Rita Sallam, James Plath, Adnan Zijadic, Pri Rathnayake, Graham Waller, Matt Cain, Andrew Frank, Bern Elliot
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