The Challenges
Transition from retrospective to predictive
Moving beyond traditional reporting to adopt AI-enabled predictive decision-making posed a significant shift in operational strategy.
Lack of predictive context
Key process metrics, such as yield, variance, and throughput, were not previously analyzed with a predictive lens, limiting the ability to address issues proactively.
Data standardization & model integration
Establishing standardized data ingestion processes and integrating predictive insights into operational dashboards was both a technical and organizational challenge.
Continuous model improvement
Ensuring that AI models are continuously refined and adjusted based on new data to maintain accuracy and relevance in decision-support tasks.
