AIOps platform development faces several challenges, with data quality and integration being the primary hurdles. Collecting data from diverse sources in various formats requires advanced data ingestion tools. Furthermore, ensuring that AI models are trained on high-quality, representative datasets is crucial for accurate predictions and anomaly detection. Another challenge is ensuring that the AIOps platform can integrate seamlessly with existing IT infrastructure, including legacy systems. Lastly, user trust in AI recommendations and the need for continuous model retraining can also be challenging, requiring ongoing efforts from development teams.

Source : https://www.inoru.com/aiops-platform-solutions