Great fireside chat with JC2 Ventures-backed Nile on the impact of AI in networking. I had the pleasure of joining Jackson’s Chief Operating Officer Dev Ganguly, to discuss the impact of this technology on digital customer experiences and the future of enterprise IT infrastructures. Dev and I have different industry backgrounds, but we both agree that the network is the basis for any new technology that organizations use. Thanks to Scott Gainey for moderating this fun discussion. https://lnkd.in/g-iFrC4k
Nile
1mo
Thank you for joining this session, John Chambers! Excited for the next! 😎
Tim Giresi
1mo
Great chat and shout out to the moderator Scott Gainey
Great discussion and important insight!!! Thanks a mil
John Chambers , can't agree enough.... 1. Network Automation: reducing the need for manual intervention. Configuration Management, Automatic Provisioning and Network Monitoring areas can have a significant bearing. 2. Predictive Maintenance AI can predict potential network failures before they occur by analyzing historical data and identifying patterns. This allows for proactive maintenance and reduces downtime. 3. Enhanced Security:Threat Detection, Intrusion Prevention and Fraud detection can be significantly improved through AI models. 4. Traffic Optimization - network performance by dynamically managing traffic flows by automatic load balancing, congestion management and bandwidth optimisation. 5. Quality of Service (QoS) Enhancement AI ensures consistent quality of service by latency Reduction, packet loss mitigation helping improve service assurance function. 6. Improved User Experience - AI-driven networks can adapt to user behavior and preferences, providing a more seamless and personalized experience. 7. Edge Computing and IoT - It manages the vast amount of data generated by IoT devices and ensures efficient processing at the edge, reducing latency and bandwidth usage.