Use Cases

Anomaly Detection

Discover the benefits of using Artificial Intelligence and Machine Learning to detect anomalies in operational processes

Have you ever tried to find something that you don't really know? Pretty difficult.

Anomaly detection with Artificial Intelligence is about identifying abnormal events, or combinations in business processes or operational processes. You are searching for anomalies, but you don’t know what their characteristics will be.

SPOT AND PREVENT

While identifying abnormal events in large datasets or heavy/complex business processes is hard for humans, this is a field where AI excels.

Artificial Intelligence is indeed the key to spot these abnormal events, leaving humans the responsibility to take action, or not take action.

AI based anomaly detection is usually applied with the following objectives :

  • Detect and prevent anomalies: that can impose a threat or a high cost center;
  • Spend time: only on real anomalies, and disregard low risk situations.

HOW DOES ANOMALY DETECTION WORK

AI models can be :

  • 1- Trained to learn to spot “abnormal behaviors”;
  • 2- Deployed to identify abnormal events quickly and efficiently;
  • 3- Translate anomalies these anomalies in order to enable business users to understand causes of structural defects, errors, or fraud.

EXPERIENCE IN ANOMALY DETECTION

Kantify led anomaly detection projects aiming at either reducing or detecting anomalies in operational processes.

These solutions help our clients in the following ways:

  • Understand : Have a granular understanding of sources of anomalies, or patterns leading to anomalies;

  • Optimize: Reduce costs, as anomalies can quickly add up and represent a major cost center;

  • Satisfy: Provide better services to customers as the service or product is of better quality;

  • Motivate: Improve processes and staff motivation, as anomaly detection helps the staff to focus only on value-adding tasks.

GET IN TOUCH

If you are curious about discovering how you can use AI for anomaly detection in your organization, leave us a message, we will be in touch to schedule a call.