The analysts distinguish between everyday AI, which enhances productivity, and game-changing AI, which creates new results, products, and services. As enterprises define their AI ambitions, they should examine opportunities and risks in the back office, the front office, new products and services, and new core capabilities. They should also establish "lighthouse principles" that align with organizational values, make AI data-ready, and implement AI-ready security. The new wave of AI application within the enterprise is what Gartner calls decision intelligence, which requires machines to interact properly and efficiently.
Key takeaways:
- Generative AI is set to transform enterprise processes and decision-making, and should be considered an enterprise initiative rather than just an IT initiative.
- By 2024, generative AI is expected to become democratized due to increased funding, strategizing, and the confluence of pretrained models, cloud computing, and open source.
- There are two emerging types of AI in enterprise: everyday AI, which enhances productivity, and game-changing AI, which creates new results, products, and services.
- The new wave of AI application within the enterprise is decision intelligence, which aids strategic decision-making that is actionable and explainable.