As networks grow more complex and user expectations more dynamic, telcos are turning to AIOps (Artificial Intelligence for IT Operations) to deliver real-time operational intelligence. In this session, leaders from Orange and Rakuten Symphony explored how AIOps is driving predictive maintenance, proactive decision-making, and seamless service delivery – all while reducing human intervention and enabling agility across legacy and cloud-native environments.
Speakers:
Watch the full interview.
The discussion opened with an acknowledgment that AIOps is no longer a distant ambition; it’s a critical operational necessity. From automated incident detection to tilt optimization in RAN environments, the speakers outlined real-world use cases already showing measurable returns. Examples outlined significant improvements in spectrum efficiency and handover success rate achieved through AI-driven optimization.
Importantly, AIOps is enabling operators to move from reactive to proactive, and eventually prescriptive, operations. AI models are now helping teams preempt failures, shorten MTTRs, and even categorize events by impact, streamlining response strategies.
While technology continues to advance, the biggest hurdle to AIOps adoption is often cultural. Legacy systems and siloed data are certainly challenges – but overcoming resistance to AI-driven decision-making within operations teams is just as critical. Both speakers agreed that change starts with mindset, skills, and an incremental approach: finding a small, high-impact use case and demonstrating its value before scaling.
Key takeaways
“Start with a small but highly effective use case. Get into the operations team, get those highly used use cases implemented, and then show them the value that comes out of it.”
At Rakuten Symphony, we’re redefining operational intelligence for the AI-native telco. Follow us to explore how AIOps, observability, and agentic platforms are shaping the next wave of telecom transformation.
