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NETSCOUT Introduces Omnis™ AI Insights

NETSCOUT SYSTEMS announced a new initiative designed to deliver the valued data needed to secure better outcomes from artificial intelligence (AI) and AIOps solutions.

NETSCOUT is working across its growing partner ecosystem, including Cisco, Palo Alto Networks, ServiceNow, Splunk, and others, to integrate its high-quality AI-ready data and deliver the insights needed to drive better business outcomes and elevate user effectiveness.

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.

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 Bruce Kelley, CTO at NETSCOUT. “As customers accelerate their IT operations using AI, our expanded end-through-end visibility and open data model is critical to assuring better business outcomes and elevating user effectiveness.”

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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NETSCOUT Introduces Omnis™ AI Insights

NETSCOUT SYSTEMS announced a new initiative designed to deliver the valued data needed to secure better outcomes from artificial intelligence (AI) and AIOps solutions.

NETSCOUT is working across its growing partner ecosystem, including Cisco, Palo Alto Networks, ServiceNow, Splunk, and others, to integrate its high-quality AI-ready data and deliver the insights needed to drive better business outcomes and elevate user effectiveness.

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.

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 Bruce Kelley, CTO at NETSCOUT. “As customers accelerate their IT operations using AI, our expanded end-through-end visibility and open data model is critical to assuring better business outcomes and elevating user effectiveness.”

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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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...