NETSCOUT Addresses the Need for High-Quality AI-Ready Data to Train AI Models and Power AIOps for Better Business Outcomes
New Solution Fuels AI/ML Processes with Actionable Data to Enhance Service Performance
NETSCOUT generates granular telemetry at scale and curates it into targeted feeds, producing an information-rich dataset designed to address critical use cases. NETSCOUT’s data can be easily ingested into data lakes and other AIOps platforms, where it can be enriched and combined with other datasets for analytics and visualization, resulting in higher-quality behavioral classifications, predictions, and automation.
“As organizations automate their IT environments to scale operations, they need enterprise-grade intelligence to improve decision-making and optimize the user experience,” said
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 to enable critical outcomes without requiring data transformations and adaptations, including:
- 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
“NETSCOUT is built around deep packet inspection, so we understand the value of transforming raw packet data into actionable intelligence at scale,” stated
Data intelligence, produced and curated at the source for AI platforms, is imperative for AI use cases across multiple sectors, including healthcare, communication service providers, financial services, insurance, manufacturing, energy and utilities. NETSCOUT’s high-quality AI-ready data allows models to converge and generalize without dealing with extraneous data that blurs or impairs outcomes.
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