The Future of Internet Monitoring: Cisco ThousandEyes Unveils AI-Powered Capabilities

The Future of Internet Monitoring: Cisco ThousandEyes Unveils AI-Powered Capabilities

Cisco’s ThousandEyes internet monitoring unit has introduced groundbreaking artificial intelligence-powered capabilities to revolutionize the prediction and diagnosis of internet outages and disruptions. The newly developed AI technology, known as Digital Experience Assurance (DXA), offers customers of Cisco’s networking technology the ability to automatically address network quality issues, setting it apart from the traditional monitoring approach previously adopted by ThousandEyes.

DXA enables customers to proactively handle network issues before they impact users and provides forward intelligence on potential infrastructure challenges. Joe Vaccaro, vice president and general manager of ThousandEyes, highlighted the significance of DXA in enhancing digital experiences and fostering a closed-loop system that goes beyond mere monitoring metrics. By leveraging AI, businesses can correlate, analyze, diagnose, predict, optimize, and remediate network issues with minimal manual intervention, driving efficiency and scalability in managing IT infrastructure.

ThousandEyes’ platform, powered by a vast repository of over 650 billion daily measurements globally, offers businesses unparalleled visibility into their internal environments, spanning on-premises networks and cloud services. The platform builds upon the Event Detection technology, which significantly reduces disruption detection time and resource requirements, ensuring swift and effective response to network incidents. With DXA, organizations can anticipate and mitigate potential disruptions, safeguarding the overall quality of digital experiences for end-users.

Looking ahead, ThousandEyes is working on a groundbreaking product that will leverage AI to generate scripts displaying the status of global ISP, public cloud, and edge service networks, as well as application connectivity. This advancement, expected to launch soon, marks a shift towards automation in internet monitoring, with AI algorithms taking on the task of monitoring and analyzing network performance. By incorporating large language models into its product, ThousandEyes aims to enhance the accuracy and efficiency of network monitoring, paving the way for more sophisticated AI-driven solutions in the future.

The introduction of AI-powered capabilities in internet monitoring by Cisco ThousandEyes signifies a paradigm shift in the way organizations approach network management and performance optimization. As businesses increasingly rely on digital infrastructure to deliver products and services, the need for advanced tools that can predict, diagnose, and resolve network issues in real-time becomes paramount. By harnessing the power of AI, ThousandEyes is at the forefront of driving innovation in the realm of internet monitoring, setting new standards for proactive network management and enhancing the overall quality of digital experiences for users worldwide.

The integration of AI-driven technologies like DXA into internet monitoring platforms not only streamlines network management processes but also enables organizations to stay ahead of potential disruptions and downtime. As the digital landscape continues to evolve, leveraging AI for predictive analytics and automated remediation will be instrumental in ensuring the reliability and performance of critical IT infrastructure. Cisco ThousandEyes’ commitment to advancing AI capabilities in internet monitoring underscores the company’s dedication to empowering businesses with the tools needed to thrive in an increasingly connected world.

Enterprise

Articles You May Like

A Critical Review of TCL’s AI-Generated Short Films: A Journey Through Disappointment
The Rise of LinkedIn’s Puzzle Games: A Deep Dive into User Engagement
Apple’s Upcoming Smart Doorbell: An Evolution in Home Security
Unveiling Prime Video’s Stellar 2024: A Renaissance in Streaming Entertainment

Leave a Reply

Your email address will not be published. Required fields are marked *