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Predict

MARTINA Predict: A powerful module that enhances the Martina AIOps platform by offering comprehensive network troubleshooting capabilities.

MARTINA Predict

A cutting-edge module that enhances the MARTINA AIOps platform.

MARTINA Predict uses device statistics such as utilization, latency, packet loss, and jitter, using machine-learning algorithms to forecast future values, detect anomalies in real-time, and identify seasonal patterns and trends. In addition, MARTINA Predict incorporates enhanced context gathering capabilities to provide richer insights and a more accurate understanding of network behaviour.

MARTINA Predict is a cutting-edge module that enhances the MARTINA AIOps platform by focusing on proactive network management and prioritizing user experience. By analysing device statistics and employing sophisticated algorithms to predict future network performance, MARTINA Predict ensures that organizations can maintain an exceptional user experience across all locations, while staying one step ahead of potential issues.

Key features:

presrv-Advanced Network

1. Advanced Network Performance Metrics:

MARTINA Predict collects granular statistics from network devices, such as utilization, latency, packet loss, and jitter, to build a comprehensive understanding of the user experience in each location.

Enhanced Context

2. Enhanced Context Gathering:

MARTINA Predict gathers additional contextual information, such as device configuration & state, active flows, and network topology, to provide a more accurate and in-depth understanding of network performance and behaviour. This enriched context allows for more precise predictions and targeted issue resolution.

Behavioural Analysis

3. Behavioural Analysis and Forecasting:

MARTINA Predict employs machine-learning algorithms to analyse historical network performance data, enabling the system to forecast the likely future values of key performance metrics. This predictive capability allows for proactive network management and pre-emptive issue resolution.

Real-time Anomaly Detection

4. Real-time Anomaly Detection:

By continuously monitoring network performance, MARTINA Predict can identify anomalies in real-time, alerting administrators to potential issues before they escalate and negatively impact the user experience.

Seasonal Pattern and Trend Recognition:

5. Seasonal Pattern and Trend Recognition:

MARTINA Predict is designed to recognize seasonal patterns and trends in network performance, allowing for informed decision-making when it comes to network maintenance, resource allocation, and infrastructure upgrades.

Enhanced Network Management for Optimal User Experience

6. Enhanced Network Management for Optimal User Experience:

By focusing on predicting and proactively managing network performance, MARTINA Predict ensures a consistently high-quality user experience across all locations.

Seamless Integration with Martina Observe

7. Seamless Integration with MARTINA Observe:

MARTINA Predict is designed to work seamlessly with MARTINA Observe, further enhancing the monitoring capabilities and providing a comprehensive, user-centric network management toolset.

Advanced Alerts and Notifications

8. Advanced Alerts and Notifications:

Administrators can configure MARTINA Predict to send alerts and notifications based on dynamic thresholds, trends, or anomalies, ensuring that any potential issues are promptly identified and addressed.

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Portrait of Mark Foulsham, Board Advisor, NED, COO/CIO, Fractional Support, Digital Leadership Coach

Mark Foulsham

Board Advisor, NED, COO/CIO, Fractional Support, Digital Leadership Coach

With a broad background as a COO/CIO/CDO, C-Suite Advisor, NED, Senior Transformation Leader and Coach, Mark tackles multiple fronts from the advantage of diverse experience in business operations, technology, procurement, delivery and risk. With a deep knowledge of business models from multiple sectors and extensive experience in fast-paced digital start-ups.

Mark’s work across extensive business types, functions and countries empowers him with experience to bear across silos. Mark has built a reputation for advocating cross-business collaboration, taking a pragmatic approach and championing transformative change.