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.
The Latest
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...
High-business-impact outages are costly, and a fast MTTx (mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR)) is crucial, with 62% of businesses reporting a loss of at least $1 million per hour of downtime ...
Organizations recognize the benefits of generative AI (GenAI) yet need help to implement the infrastructure necessary to deploy it, according to The Future of AI in IT Operations: Benefits and Challenges, a new report commissioned by ScienceLogic ...
Splunk's latest research reveals that companies embracing observability aren't just keeping up, they're pulling ahead. Whether it's unlocking advantages across their digital infrastructure, achieving deeper understanding of their IT environments or uncovering faster insights, organizations are slashing through resolution times like never before ...
A majority of IT workers surveyed (79%) believe the current service desk model will be unrecognizable within three years, with nearly as many (77%) saying new technologies will render it "redundant" by 2027, according to The Death (and Rebirth) of the Service Desk from Nexthink ...
Monitoring your cloud infrastructure on Microsoft Azure is crucial for maintaining its optimal functioning ... In this blog, we will discuss the key aspects you need to consider when selecting the right Azure monitoring software for your business ...
All eyes are on the value AI can provide to enterprises. Whether it's simplifying the lives of developers, more accurately forecasting business decisions, or empowering teams to do more with less, AI has already become deeply integrated into businesses. However, it's still early to evaluate its impact using traditional methods. Here's how engineering and IT leaders can make educated decisions despite the ambiguity ...