Real-Time Network Insights: The Backbone of Effective AIOps

Is AIOps the future of IT management, or just a buzzword for digital transformation enthusiasts? According to Carlos Casanova, principal analyst at Forrester, artificial intelligence for operations (AIOps), will revolutionize traditional IT approaches. While each company’s path to AIOps is unique, they all have one thing in common: a big need for data—lots of it! Data has become one of the most precious resources for organizations. And not just any data; it has to provide real-time insights that enable data-driven decision-making and observability.

AIOps and Real-Time Data: Quick Solutions to Complex Challenges

W. Edwards Deming, a renowned statistician and quality control expert, famously said, “Without data, you’re just another person with an opinion.” Ironically, that was his opinion.

Just as we saw with cloud computing and unified communications as a service (UCaaS), digital transformations begin with broad adoption. In the same way, the broad adoption of AIOps—both within organizations and through third-party platforms—is transforming IT management and quickly elevating the importance of continuous data insights that continuously monitor networks for potential performance issues before they escalate. The use of real-time network insights not only minimizes the impact of downtime but also provides important contextual awareness to enhance service availability.

Some key benefits of using real-time insights with AIOps include:

• Proactive monitoring: Continuously track network performance to detect potential disruptions before they become outages
• Rapid anomaly detection: Quickly identify performance trends and security threats, enabling immediate action to protect network and service integrity
• Enhanced decision-making: Collect accurate evidence from actual usage, enabling timely resource allocation and informed decision-making
• Operational efficiency: Enhance observability and monitoring to minimize downtime, facilitate quick troubleshooting, and ensure uninterrupted service delivery

Real-Time Data Across Key Industries

How crucial is real-time data to building successful AIOps processes in modern industries? It’s easiest to answer this by breaking down the “AI” and “Ops” components. Real-time insights act as fuel for AI and machine learning (ML) algorithms, enabling rapid analysis to gain insights into the health and performance of IT and cybersecurity systems. On the “Ops” side, leveraging AI for real-time data processing allows organizations to swiftly respond to new trends, unexpected challenges, or new technology opportunities. This ensures service performance and uptime by maximizing valuable network insights and filtering out the noise from data sources—freeing up IT teams to focus on more critical problems.

By delivering the real-time network insights that AI and AIOps processes rely on, organizations can troubleshoot issues and minimize disruptions quickly, greatly reducing mean time to knowledge (MTTK) and improving mean time to resolution (MTTR) so organizations can stay agile and responsive in competitive environments where timeliness is everything. For example:

Banking: Real-time network insights can help enable quick identification of fraudulent transactions, ensuring secure customer experiences

Healthcare: Continuous network monitoring supports reliable access to electronic health records, imaging, and quality telemedicine experiences, directly impacting patient care

Manufacturing: Instant feedback on network performance and machinery operations helps prevent unexpected breakdowns, ensuring seamless production processes and optimizing overall manufacturing efficiency

What Makes NETSCOUT’s Data Essential for Effective AIOps?

Two words: data quality.

Many organizations focus on detecting bad data after it has already entered their systems. NETSCOUT focuses on collecting high-quality, granular data at the network source to ensure organizations have access to the highest-quality observability data available to improve the performance and health of IT environments. By capturing critical data points such as network packets, traffic patterns, and user interactions, as well as conversational, telemetry, and other data, NETSCOUT enables teams to understand how services are performing. This comprehensive data collection provides the immediate insights needed for effective monitoring, analysis, and automation of troubleshooting and prediction through AI-driven processes.

Scalable deep packet inspection (DPI) is central to NETSCOUT’s observability capabilities. Capturing and processing data in real-time unlocks exceptional precision and scale for analyzing and quickly troubleshooting network issues, reducing disruptions to the services deployed within the network. Ultimately, this granular data collection is essential for building effective AIOps strategies and driving smart, data-driven decision-making throughout operational environments.

Real-time network insights are fundamental to the success of AIOps. NETSCOUT’s legacy of delivering high-quality data for AI and ML processes ensures that IT teams have the resources needed to maintain optimal network performance, build a robust cybersecurity posture, and enable intelligent automation. As organizations continue to embrace AIOps, the value of real-time insights in driving operational excellence and achieving business goals will become even more apparent.

Learn more about the value of NETSCOUT data for AIOps and AI-driven process.