Invasion of the Network Co-Pilots 2024 is undoubtedly the year of #Network Co-Pilots (powered by #GenAI). We’ve seen multiple vendors announce, release, or show roadmaps to enable conversational UIs and/or chatbots to aid in typical NetOps tasks including configuration and troubleshooting. Given the mass hype in the market, we just published research on this topic called Prepare for Generative AI in Network Operations, led by Jonathan Forest) and here are a few small takeaways... Generative AI (GenAI) enables improvements to traditional networking operations practices without the use of explicit templates across Day 0, Day 1 and Day 2. However, much of the expected GenAI networking capabilities are nascent and unproven. Further, a lot of the functionality being delivered by Co-Pilots is readily available from existing tools, so it has underwhelmed thus far. That said, we predict that by 2026, GenAI technology will account for 20% of initial network configuration, which is an increase from near zero in 2023. Full Gartner Research Document here (paywall): https://lnkd.in/djkEMQ8k.
Vishal Shukla
9mo
Thank you Andrew Lerner for posting this analysis! Going from IAC driven to Data driven - that's what Network Copilots are all about!
Exciting times ahead in the world of network co-pilots! #Innovation Andrew Lerner
Michael Ward
9mo
Exciting insights into the future of network co-pilots! Looking forward to seeing how GenAI continues to evolve.
Nilesh Kumar
9mo
Exciting developments in the networking field! Looking forward to seeing how GenAI evolves over the next few years. 🔍🚀
Akshay Balaganur
9mo
Please check out linkeye.io We have built a co-pilot for NOC teams mangaing huge WAN inventory.
Sangita Patel
8mo
Nice, Andrew Lerner. One small step in Gen-AI, .....
Andrew Green
9mo
GenAI for Day 0 and 1 is a different kettle of fish, but I agree that Day 2 is the largest and most important use case for network co-pilots
Chief Strategy Officer | Vice President, Field Go-to-Market| Driving Innovation & Growth in Technology | Leading Global Solutions Engineering & Product Management | Cloud Networking, AI & Cybersecurity | Board Advisory
9moGood post Andrew Lerner. John McCarthy, an AI founder, said: “As soon as it works, no one calls it AI anymore.” This reflects the frontier paradox, where every solved problem becomes technology, and AI sets new frontiers. In the network world, there are things that have been solved through weak AI (codifying operator thinking and action). Strong AI (think and learn on its own) will continue to bring sophistication, cost savings, and simplicity in the areas of predictive maintenance/troubleshooting (including bot companions), proactive threat prevention, anomaly detection/response, and even traffic path optimizations. Should be considered future table stakes that customers would simply expect. The real differentiator for vendors is further sophistication on top. Product platform design would be put to the test as a unified approach results in impactful innovation. Lastly, data is king. Vendors with data control and access are already in a position of strength. As Andrew Ng noted, “Among leading AI teams, many can likely replicate others’ software in, at most, one to two years. But it is exceedingly difficult to get access to someone else’s data. Thus, data, rather than software, is the defensible barrier for most businesses