NETSCOUT SYSTEMS, INC, a provider of performance management, cybersecurity, and DDoS protection, has launched a new initiative to enhance AI and AIOps outcomes. They are delivering high-fidelity, enriched data tailored to enterprise needs. NETSCOUT is collaborating with Cisco, Palo Alto Networks, ServiceNow, and Splunk to integrate AI-ready data that drives better business results.
NETSCOUT curates detailed telemetry data into targeted feeds, designed for critical use cases and easily integrated into data lakes and AIOps platforms. This data enriches analytics and visualization, leading to improved behavioral predictions and automation.
Additionally, explore how NETSCOUT Enhances IT Visibility for Remote Locations
Stephen Elliot, Group VP at IDC, emphasizes the importance of enterprise-grade intelligence in automating IT environments. This enables organizations to optimize decision-making and user experiences. NETSCOUT’s new Omnis™ AI Insights provides actionable network telemetry, helping organizations identify trends, streamline analysis, uncover operational patterns, and detect security risks, all without requiring data transformations.
Delivering Data Insights at AI Scale
To provide high-quality AI-ready data that mitigates the risks IT teams face from an overload of unusable or ineffective data. NETSCOUT has introduced Omnis™ AI Insights. It delivers precise, actionable network telemetry data that feeds customer AI initiatives. This enables critical outcomes without requiring data transformations and adaptations, including the following:
- Identifying and correlating observability trends.
- Streamlining and automating data analysis.
- Uncovering historical operational patterns.
- Detecting unforeseen issues and security risks that could lead to future service outages and data breaches.
Bruce Kelley, CTO of NETSCOUT says that the company has expertise in transforming raw packet data into actionable intelligence.
“As IT operations accelerate with AI, a comprehensive visibility and open data model is crucial for ensuring better outcomes and enhancing user effectiveness.” notes Kelley.
