AIimplementering
AIimplementering refers to the process of implementing artificial intelligence capabilities within an organization's operations and products. It encompasses problem framing, data readiness, model selection and development, system integration, deployment, and ongoing monitoring. The aim is to automate tasks, improve decision making, or create new value streams while managing risks and costs.
An initial phase focuses on identifying suitable use cases, defining success metrics, and assessing data availability
Deployment strategies include cloud-based services, on-premises solutions, or edge deployment, with integration into existing IT landscapes
Common challenges include data quality issues, legacy infrastructure, talent shortages, security risks, and alignment with business