When embarking on your first genAI project, it’s crucial to prioritize identifying and selecting the right use cases. Focusing on solving specific business problems or addressing user pain points is key. To guide this process, consider how AI can increase productivity, automate tasks, personalize experiences, besides brainstorming within your organization.
In addition, leveraging existing organizational strengths and scaling successful processes with AI can bring significant benefits. It’s essential to approach AI projects with a focus on small, specific tasks to minimize the risk of errors and hallucinations.
Finally, ensuring access to high-quality data and proper integration practices is paramount for successful AI model training. Assessing available data sources and their suitability for the chosen use case is crucial. Following these principles is the first step toward successful AI projects. For additional details, please download the Open the Future e-book from Red Hat.
