Monica Paolini’s Post

Question: What the impact of #AI traffic on #internet, #WAN and #LAN. BT Group is monitoring and modelling the impacts closely but it is still very early days and I want hear insights from colleagues in the industry. What are your findings so far or predictions? #networks new requirements? impacts? Implications? New drivers: Addressing #DataGravity chalenges, Copilot on every end user device talking to the cloud, AI added to existing platform providers via third parties resulting in tromboned flows, Elephant Flows beyond the DC, Data collection and Curation, inference on the edge etc. What load balancing, congestion and capacity management will this drive beyond the DC?

OpenAI has unveiled ChatGPT-4o, demonstrating remarkable real-time communication capabilities. During the demo, a wired connection was used to ensure robust connectivity, underscoring the crucial role of reliable connectivity for AI. This scenario illustrates the future where not just AI, but all processing power, could be distributed at the edge or in the cloud. Connectivity solutions like 5G will be pivotal in this evolution. The advancements in AI reinforce my confidence in 5G, as reliable, ultra-low latency connectivity solutions will soon become ubiquitous. I can already imagine myself wearing glasses with a display, harnessing the computing power of a supercomputer through the power of cloud computing and 5G connectivity. The future is fast, and it is wireless.

Telco networks are becoming more complex with each new generation, especially with 5G's new architecture incorporating cloud and AI. GenAI, combined with traditional AI and ML, can simplify this complexity by making networks conversational. Read this Forbes article by Raghav Sahgal to discover how: https://lnkd.in/g2G5C4Xr #GenAI #5G

I usually refrain from sharing my ideas on LinkedIn to avoid contributing to unnecessary noise. However, I feel the urge to contribute to the AIOps adoption in our beloved telecom networks. 🌐 Our industry has and still converging Telco with IT through innovations like cloud, containers, and the pervasive integration of AI. To accelerate progress, we often adopt successful IT strategies of AIOps, such as Grouping AI in IT Operations to Telecom Network Operations. But guess what? These strategies don’t deliver the same benefits and value in Telco as they do in IT. 📉 In a series of posts, I want to stimulate a discussion around this topic. Together, we might discover a practical and pragmatic approach to truly enhance Telco networks and deliver a true Customer Experience. Stay tuned! 🚀 #AIOps #TelcoNetworks #NetworkManagement #AI #CustomerExperience #Innovation

The AI revolution is rapidly accelerating, and networking infrastructure lies at its core. As Ram V.elga of Broadcom highlighted, up to 70% of GPU consumption today is by the major cloud providers building massive AI clusters with hundreds of thousands of accelerators. This requires a transformational shift in networking capabilities to enable the immense bandwidth and ultra-low latency required for distributed AI training and inference. The demands of AI will continue to drive both network performance in the data center and for AI in networking in the years ahead. Juniper Networks is committed to relentless innovation to drive this AI/ML renaissance, positioning our customers to unleash the full potential of artificial intelligence. For more info, check out the full episode here: https://juni.pr/3YH8BMy

The impact of AI in telecom is becoming clearer every day. From the recent TM Forum Innovate Americas event, it’s exciting to see how Amdocs is collaborating with NVIDIA, Microsoft, and AWS to make AI-driven solutions a reality. Whether it's improving customer care or streamlining cloud migration, the work being done is setting new standards for the industry. GenAI isn’t just a trend—it’s changing how telcos operate. If you're curious about how AI is shaping the future of telecom, this is a great read. Check it out: https://lnkd.in/gVqFwDAy #GenAI #Telecom #CloudMigration #Innovation

An insightful conversation on AI's rapid transition from concept to results at #FortuneGlobalForum with Honeywell’s Vimal Kapur, Lumen's Technologies’ Kate Johnson, and Fortune's Andrew Nusca. Our Chairman and CEO highlighted the tremendous potential of the technology trifecta – 5G, Cloud and AI – coming together to solve critical challenges across the industrial sector, which include the skill shortage and asset maximization. Tune in: https://lnkd.in/e5TfmQwy.

In my last post (https://rb.gy/5lnjhn), we discussed the convergence of Telco with IT and the potential of AIOps strategies like Grouping AI. But Telco networks present unique challenges for AI. 1- Dynamic Networks & Cascading Effects: Telco environments constantly change, and minor issues can snowball into major customer experience (CX) disruptions. Supervised models, like Grouping AI, rely on predefined patterns that might miss these evolving situations. 2- Unsupervised AI to the Rescue? Unsupervised AI can analyze unlabeled data, potentially adapting to dynamic networks and identifying novel issues. It can also detect complex interdependencies between network elements that supervised models might miss. 3- Expertise Integration is Key: While unsupervised AI can reveal hidden relationships and emerging threats, it doesn't replace human expertise. Telco professionals bring deep domain knowledge to interpret these patterns and take action. Simply grouping alerts isn't enough. We need a network-specific, CX-focused approach that leverages unsupervised AI alongside human expertise. What specific examples have you seen of unsupervised AI being used effectively in Telco networks? Share your thoughts! 🚀 Stay tuned for the next post in this series where we will explore potential solutions and how we can adapt AI to better serve Telco networks and enhance Customer Experience. #AIOps #TelcoNetworks #NetworkManagement #AI #CustomerExperience #Innovation

Telco networks are becoming more complex with each new generation, especially with 5G's new architecture incorporating cloud and AI. GenAI, combined with traditional AI and ML, can simplify this complexity by making networks conversational. Read this Forbes article by Raghav Sahgal to discover how: https://lnkd.in/dvaPeXaK #GenAI #5G

An insightful conversation on AI's rapid transition from concept to results at #FortuneGlobalForum with Honeywell’s Vimal Kapur, Lumen's Technologies’ Kate Johnson, and Fortune's Andrew Nusca. Our Chairman and CEO highlighted the tremendous potential of the technology trifecta – 5G, Cloud and AI – coming together to solve critical challenges across the industrial sector, which include the skill shortage and asset maximization. Tune in: https://lnkd.in/gUpw7CwZ.