Client Problem Statement

A global bank faced significant pressure within its IT department to reduce costs and improve operational efficiency while enhancing service quality and meeting SLAs. They needed to identify proactive actions and accelerate remediation processes amidst increasing complexity and the rapid rate of change in their IT environment.

Digitech and Their Solution

Digitech Services implemented an AI/ML Ops solution to automate IT operations for the global bank. Leveraging AI and Big Data within an open framework, Digitech enabled real-time streaming and batch data ingestion from disparate sources. They incrementally deployed advanced analytics, including machine learning and deep learning models, to integrate analytics and AI for noise reduction, anomaly detection, root cause analysis, and incident prediction with actionable prescriptions.

The solution identified priority use cases, such as an open-source application generating large quantities of logs before crashing. Digitech built AI models to predict errors from application logs, enabling incident prediction and automated action prescriptions for critical applications. This proactive approach established that 80% of issues could be avoided through automated remediation, significantly improving operational efficiency and service reliability for the global bank.