Resource LibraryBI+AI Integration Practice at OTP Bank Russia
Solution Brief

BI+AI Integration Practice at OTP Bank Russia

General
BI+AI Integration Practice at OTP Bank Russia

Resource Introduction

As BI adoption grows, competing data refresh tasks can create long queues, slow dashboards, and time-consuming investigations for a small support team.

In this session, Eva Kharalampova, BI Developer & Trainer at OTP Bank Russia, shares the bank's approach to combining FineBI operational monitoring with AI agents. The presentation explores how platform metadata helps teams identify heavy workloads, investigate failures, and make better scheduling decisions.

Discover five AI agent scenarios covering load balancing, database performance protection, update policy compliance, anomaly alerting, and SQL optimization recommendations. The session also explains how training, documentation, and operating standards support reliable growth, and shares the bank's reported reduction in failed tasks from 567 to seven per day.

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