Machine learning offers a way to improve anomaly detection operations to reduce the total risk for state and local governments. Stewart highlights the emerging process of encrypted data analytics.

Leveraging machine learning There are different ways to address the challenge of anomaly detection, including supervised and unsupervised learning.

Dr. Ella Hilal, head of data science at Shopify, showcased how the e-commerce giant applies machine learning for anomaly detection and forecasting.

Explainable AI (XAI) can improve safety, security, and the overall user experience in IoT applications.

This transparency is a key differentiator from conventional "black-box" machine learning models, which often leave users in the dark about why specific alerts are triggered.

Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to spot minute damage, wear, or malfunction.

In this work, the consortium will aim to extend current anomaly detection quantum machine learning models to detect anomalous behavior indicating money laundering.