Xalient, a global leader in identity and access management (IAM), security, and network transformation solutions, is proud to announce the launch of MARTINA Predict 2.0. The latest iteration of its advanced AI Ops suite. This latest version introduces a pioneering cross-domain event correlation capability. This not only enhances anomaly detection but also enriches the platform’s predictive accuracy.
Transformative Capabilities in AI Ops
Since its inception, MARTINA (Managing through Artificial Intelligence and Analytics) has been at the forefront of observability and anomaly detection. It has significantly reducing alert fatigue for support teams and providing real-time insights that drive better decision making.
Xalient has advanced with MARTINA Predict 2.0, enhancing the MARTINA suite by integrating innovative event correlation technology. It connects diverse data sources across identity, network, security, user, and application experience to proactively predict and identify potential issues.
This unique, holistic approach provides unprecedented insights into the interconnectedness of multi-vendor IT systems. This enables rapid issue identification and resolution, an optimised user experience, and an ability to dynamically prioritise specific business-critical network applications and resources.
With the ability to automate these insights, MARTINA Predict 2.0 offers unparalleled operational foresight, vastly improving upon traditional models of network management.
“MARTINA Predict 2.0 represents a paradigm shift in AIOps,” said Xalient CEO, Sherry Vaswani. “Our data scientists have achieved unique integration of diverse data sources and developed advanced correlation algorithms. This means we’re empowering organisations to stay ahead of IT disruptions and deliver superior user experiences.”
Stephen Amstutz, Director of Innovation at Xalient, said, “MARTINA Predict 2.0 lets us anticipate anomalies using vast data insights beyond human real-time analysis. This capability aids in preventing issues before they manifest, a necessity in today’s fast-paced digital environments. Our advanced algorithms and machine learning make MARTINA an essential, proactive part of any enterprise’s IT strategy.”
Key Features of MARTINA Predict 2.0
- Correlation of identity, security, network, and user experience data: Driving better insights and better business decisions
- Advanced Anomaly Detection and Prediction: By analysing real-time telemetry and over seven years of historical data, MARTINA Predict 2.0 detects irregular patterns and predicts potential disruptions with greater accuracy.
- Moreover, the Contextual Insights and Forecasting module significantly expands its diagnostic capabilities. Additionally, it offers deeper insights into network behavior, bandwidth utilization, and future needs through intelligent forecasting.
- Enhanced Capacity Management: The new capacity management module within MARTINA Predict 2.0 helps enterprises proactively manage their networks by prioritizing tasks and optimizing user experiences based on predictive data analytics.
- Root Cause Analysis: Through comprehensive data correlation, MARTINA Predict 2.0 undertakes detailed root cause analyses, which simplify complex troubleshooting and resolution processes.
Future Direction
Xalient is advancing AI Ops with MARTINA Predict 2.0, a significant step in their commitment to R&D. This upgrade highlights their dedication to providing innovative, predictive solutions that enhance IT Operations and prevent disruptions.
