February 27, 2024: VMware, recently acquired by Broadcom, announced that we’re returning to the VeloCloud brand for our SD-WAN and SASE solutions. Learn more in our press release and blog, Back to the Future with VeloCloud, the Intelligent Overlay for the Software-Defined Edge.
11/7/2023: VMware Edge Network Intelligence is now VMware Edge Intelligence! Announced at VMware Explore Barcelona, Intelligent Assist for VMware Software-Defined Edge will bring VMware Edge Intelligence together with generative AI to provide intelligent remediation and security for both OT and IT environments.
Read our blog post to learn more.
Navigating the intricate avenues of network operations can feel like threading a needle in the dark—especially now as more organizations are pushing their operations to the edge. Only 27% of network operations teams, down from 46% in 2016, believe they are effectively supporting their businesses, as revealed in a new analyst paper by Shamus McGillicuddy, Vice President of Research at Enterprise Management Associates (EMA). If you’re part of this narrative, don’t worry. A promising solution is emerging: Artificial Intelligence for IT Operations (AIOps).
Exploring the transformative potential of AIOps, the analyst paper titled “Edge-Aware AIOps Drives SASE Success” highlights key insights and data on leveraging AIOps to streamline network operations. The paper illustrates the immense value AIOps can bring, particularly for SD-WAN and SASE technology.
The paper emphasizes AIOps as a powerful tool to enhance and automate network operations. From ramping up network agility and enhancing security to boosting resiliency and operational efficiency, AIOps is a game-changer.
“92% of IT professionals believe applying AIOps to network management can lead to better business outcomes by optimizing networks, increasing network agility, improving security, enhancing network resiliency, and improving operational efficiency.”
Edge-Aware AIOps Drives SASE Success
VMware Edge Network Intelligence reduces complexity at the network edge
One of the crucial pain points AIOps addresses is the complexity at the network edge, which has been a long-standing challenge for network teams. As organizations embrace SASE, AIOps solutions that integrate edge intelligence, such as VMware Edge Network Intelligence™, can simplify management by effectively collecting, baselining, and analyzing network data from the edge.
The paper also delves into specific use cases where AIOps, paired with SASE, can unlock immense benefits. These benefits range from optimizing networks for superior user experiences, to streamlining troubleshooting with self-healing capabilities, and even enhancing interactions with network vendors.
“57% of organizations optimize their networks for a better overall experience. An integrated SASE AIOps solution can help deliver a consistent experience.”
Edge-Aware AIOps Drives SASE Success
The EMA paper packs a robust introduction to VMware Edge Network Intelligence. Recognized as a vendor-agnostic network analytics solution, VMware Edge Network Intelligence leverages AI and Machine Learning to offer crucial insights on end-user and IoT device interactions with networks and applications.
The journey to AIOps-driven network intelligence isn’t without its challenges, however. The paper advises network teams to gain experience through a proof-of-concept (PoC) implementation, ensuring they fully understand, trust, and are prepared for AIOps applications. The importance of explainability, data quality, patience, and collaboration with networking vendors is also underlined.
Interested in learning more? The insights we’ve highlighted are just the tip of the iceberg. Download the full analyst paper “Edge-Aware AIOps Drives SASE Success” and discover how AIOps can revolutionize your network operations.
Learn more
- Visit the VMware Edge Network Intelligence web page
- Get a real-world example of VMware Edge Network Intelligence use cases in our case study, Whole Foods Market Grows Their Retail Wireless Experience