Data Detective: Identifying Data Anomalies with Machine Learning
Session Overview:
Imagine being able to visually detect fraud, spam, or data anomalies at a glance, no complex queries, just intuitive insights. In this session, we’ll demystify the concept of embeddings in machine learning and explore how they can uncover hidden relationships within your data.
Discover how to extract Dynamics 365 data, apply generative AI models (like Copilot), and use advanced visualization techniques to group similar data while identifying outliers that may indicate fraud or errors. Through hands-on demonstrations, you’ll see how AI-driven clustering and anomaly detection can transform the way you manage and analyze your business data.
Learning Objectives:
- Understand embeddings in machine learning and how they help visualize relationships between data points, revealing patterns that traditional methods might miss.
- Learn how to apply generative AI models to Dynamics 365 data, using Copilot to assess similarities and identify anomalies in orders, transactions, and records.
- Gain practical insights into detecting fraud and data errors by leveraging AI-powered clustering techniques to group related data and highlight outliers for further investigation.
Speaker: Denis Guryev
Recorded at: Community Summit NA 2025
Type: Breakout Session
Ability Level: 201 – Intermediate
Primary Product: Dynamics 365 F/SCM (FO)
Tracks: Artificial Intelligence (AI), Data
Terms: All rights reserved by the speaker, Community Summit NA, and Dynamic Communities and cannot be reproduced or distributed without express written consent by the speaker and Dynamic Communities.
