Xalient announced 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 that not only enhances anomaly detection but also enriches the platform’s predictive accuracy.
Since its inception, MARTINA (Managing through Artificial Intelligence and Analytics) has been at the forefront of observability and anomaly detection, significantly reducing alert fatigue for support teams and providing real-time insights that drive better decision making.
Xalient has taken a quantum leap forward with MARTINA Predict 2.0, extending the capabilities of the MARTINA suite by integrating ground-breaking event correlation technology. This enables it to link disparate sources of data from across the identity, network and security domains, with user and application experience data, to pre-emptively identify and predict potential faults and issues.
This holistic approach provides insights into the interconnectedness of multi-vendor IT systems, enabling 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, which means we're empowering organisations to stay ahead of IT disruptions and deliver superior user experiences."
Stephen Amstutz, Director of Innovation at Xalient, remarks, "With MARTINA Predict 2.0, we anticipate anomalies, armed with vast amounts of data insights, more than a human could ever observe, analyse or correlate in real-time. This capability aids in preventing issues before they manifest, a necessity in today’s fast-paced digital environments. Our sophisticated algorithms and machine learning techniques ensure that MARTINA is not only a monitoring tool but a vital and proactive component 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.
- Contextual Insights and Forecasting: This module significantly expands its diagnostic capabilities, providing deeper insights into network behaviour, 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.
As Xalient continues to pioneer advancements in AI Ops, MARTINA Predict 2.0 marks a significant milestone in the company’s ongoing investment in customer-driven R&D and commitment to deliver cutting-edge, predictive solutions that drive IT Operations efficiencies and actively prevent operational disruptions before they occur.
The Latest
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...
Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...
Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...
OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...
Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...
The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...
The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership ... As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes ...