Case Study: AIOps

Case Study

Real-Time Awareness of System Health & Cyber Threats

The right combination of machine learning and automation results in enhanced efficiency, heightened security, cost savings, and speed.

In today's virtual world, nearly every aspect of business success rests upon highly secure and performant infrastructure.

The Client

A fortune 500 financial services and technology company that connects consumers, businesses, merchants, issuers, and governments around the world

The Objective

A scalable and automated way to identify cloud infrastructure failures, detect cyber threats, and alert operations teams of problems before they occur

The Challenge 

Technology and operations teams often find themselves in "firefighting" mode, monitoring millions of data points, including events, logs anomalies, and baselines, with tools that provide isolated and limited visibility.

This makes it difficult to diagnose system failures and prevent cyber attacks because resolution efforts are slow and time-consuming.

Particularly in the finance industry, highly manual and error-prone tasks represent significant liability.

The Solution

Today, thanks to leading-edge technologies like artificial intelligence, coupled with the right mix of DevOps support, our client has transformed its IT operations and realized the following outcomes:

  • Anomaly detection, resulting in lower risk for fraudulent activity
  • Increased efficiency, allowing the business to scale to its potential
  • A more reliable interpretation of disruptive incidents, which can be used to make sensible, effective decisions
  • A better understanding of customer patterns, leading to a more positive customer experience

 

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Consulting & Strategy

Outcome-focused, real-world practicality combined with courageous innovation

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Technology & Transformation

Expert engineering from project initiation to deployment and beyond

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Technical Leadership & Support

Empowerment to scale your solutions long after our engagement has ended