Challenges associated in implementing cognitive technologies

The keys challenges in implementing cognitive testing include the following:

• Need for training the system: The system needs to be trained in the domain and application landscape, and this requires a significant investment in terms of time and effort during initial stages. However, there are great economies of scale once the system is trained, and the costs come down sharply.
• Incorrect Requirements: The cognitive computing system derives its intelligence from the requirements that are fed into the system. The challenges with incorrect requirements (lack of alignment with customer needs; ambiguous /inaccurate/invalid/infeasible requirements) could lead to incorrect test results.
• Complex Architecture: This challenge combined with the frequent technology and configuration changes pose technical challenges in implementing this technology.