Scaling Generative AI: 13 elements for sustainable growth and value has been saved
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Scaling Generative AI: 13 elements for sustainable growth and value
AI scaling factors across strategy, process, talent, and data and technology
Near the top of every enterprise agenda is a question of how to leverage Generative AI (GenAI). With use cases proliferating horizontally across functions and vertically within business units, we’ve identified 13 elements to help organizations take the next step to sustainably scale GenAI for strategic business value.
STRATEGY
PROCESS
TALENT
DATA AND TECHNOLOGY
Key indicators that reveal you’re on the right track to scaling AI
- Increased speed to market, from ideation to deployment
- A decline in proof-of-concept demand, as demand shifts to low-code environments available to business users
- A decrease in unit cost for new capabilities/solutions, with technical solutions and code being reusable, thus reducing development efforts
- An increase in the number of foundational capabilities that help the organization access GenAI advancements as they emerge
- An increase in domain-specific models allowing for more use cases and broader application across the organization
- Increased use of capabilities and solutions, owing to a growing number of users in the enterprise
- An increase in stated value realization on a cumulative basis due to GenAI
- An increase in internal certification/badging of existing employees in GenAI capabilities, both functional and technical
- Use of GenAI to redefine a business process, rather than embedding GenAI in existing business processes
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