Challenges and opportunities
There are a number of challenges and opportunities associated with the development and deployment of domain-specific AI agents. Some of the key challenges include:
- Data quality: AI agents require high-quality data to be trained effectively. This can be a challenge in many industrial settings, where data may be noisy, incomplete, or biased.
- Explainability: AI agents can be complex and difficult to understand. This can make it difficult to trust their decisions.
- Bias: AI agents can be biased, which can lead to unfair or discriminatory outcomes.