The article suggests several steps to ensure the successful adoption of AI. These include improving data quality initiatives, enhancing governance, involving everyone in the organization, fostering teamwork, and maintaining a clear sense of purpose. Aziza highlights that the real magic of AI is not the technology itself, but the people who collaborate to make it work effectively.
Key takeaways:
- AI is not magic, but a probabilistic tool that works by completing information based on a trained model, and it's important to build trust in this technology.
- Generative AI can expose poor quality data, hence it's crucial to step up data quality initiatives and governance to build trust in AI output.
- Everyone's involvement is necessary, not just the IT or data management department. Both technical and non-technical stakeholders need to identify and manage risks associated with AI.
- Creating new roles and groups within the business, such as an AI ethics advisory board, and building diverse teams can help shape and govern AI effectively.