Solution
AI and Machine Learning Solutions for Enterprises
Use artificial intelligence and machine learning to automate tasks and enhance your business
KEY Features
Tap into AI and Machine Learning
Colleagues can automate tasks, track their status, and join forces via built-in communications tools. Our generative AI model can gather insights from historical network data, normal patterns and known anomalies. Meanwhile, our language model (LLM) enhances accuracy by scrutinising network logs, maintenance reports, and technician notes. 24/7 real-time monitoring with AI-powered anomaly detection, alerts and other supports bring the cybersecurity setup to a new level.
Early warning bot
An early warning system helps to protect your organisation in today’s complex and interconnected digital landscape. It continuously monitors over 1000+ data parameters across users and devices to anticipate issues and safeguard smooth operations.
Fraud detection and mitigation
This loan management software for mortgages and loans handles all aspects of an account including interest, payments, currencies, statements and redemptions.
Predict network anomalies
Modern telecom networks are complex and intricate, and for telecom companies, this can be troublesome. Traditional monitoring approaches fall short in today’s dynamic network landscape, revealing their inadequacy. This solution helps to prevent and handle disruptive network anomalies and severe service disruptions.
Features
Use the power of AI and machine learning
XBP Europe’s AI and Machine Learning capabilities provide an early warning bot to help detect and resolve issues proactively. Real-time monitoring and detection of fraudulent activities are provided, while proactive detection of telecom network anomalies is possible.
24/7 real-time monitoring and AI-powered anomaly detection
Proactive predictive analytics and scenario simulation
Tailored alerting system for prompt response
Cut time needed to analyse network issues or resolve suspicious transactions
Reduce fraud related financial losses
Tackle network downtime before it leads to service disruptions
Reduce customer complaints related to network issues
