Netcracker Leads AI Telecom
Netcracker Showcases AI-Native Telecom and Autonomous Networks at DTW Ignite 2026
Netcracker Technology will take center stage at TM Forum's DTW Ignite 2026 in Copenhagen from June 23–25, leading keynotes and panels focused on Agentic AI — autonomous software that makes decisions and runs workflows without human input. The NEC subsidiary is pitching itself as the architect of a new era for telecoms, where networks heal, configure, and optimize themselves. National Post reported that Netcracker is positioned to lead the entire conversation around AI-Native Telecom and Autonomous Network Operations at the event.
Netcracker President Sylvain Seignour will share the opening keynote stage with CEOs from One Hungary, Telenet, and e&'s Chief AI Officer. The company claims its platform can cut operator costs by up to 25% and boost average revenue per user by 5–8% through AI-driven personalization.
From Chatbots to Autonomous Networks: The Industry Shift
Just two years ago, telecoms used AI mostly for customer service chatbots. That era is over, according to Netcracker. The company's 2025 launch of its GenAI Telco Solution was one of the first to embed Large Language Models directly into the billing and network management software that operators run every day. Analysys Mason credited Netcracker with pivoting from a legacy software vendor to an "AI-First" company by treating AI agents as digital employees.
The industry goal, set by TM Forum, is Level 4 and Level 5 autonomy — where a network can fix and reconfigure itself under almost any condition. Netcracker's projects with One Hungary and Telenet are both targeting Level 4, meaning the system handles most problems but can flag a human when needed. The Agentic AI market in telecom is forecast to grow at a 32% annual rate through 2030, according to IDC.
Key Executives and What They Will Argue in Copenhagen
Seignour has said plainly that "the industry has moved past the experimental phase of GenAI; we are now delivering the autonomous engines that drive real-world revenue growth." Tamás Bányai, CEO of One Hungary and TDC Brands, is expected to detail a 12-month pilot where Netcracker's platform cut time-to-market for new digital services by 40%. That is a concrete result operators in the room will want to replicate.
Antonietta Mastroianni, Chief AI Officer at e&, will represent the Middle East's push toward fully autonomous network troubleshooting. John Porter of Telenet will focus on the financial case — specifically closing what he calls the "ROI gap" in 5G infrastructure. NEC backs the whole effort with an estimated $1.2 billion in annual AI and automation research spending.
Early Numbers Show Promise, But Skeptics Warn of Real Risks
Netcracker claims early testers of its Agentic AI customer care module saw a 30% drop in customer churn. The company has cataloged more than 150 AI use cases for the telecom industry. Those figures will be front and center at the TM Forum Excellence Awards on June 24, where Netcracker is shortlisted for "AI Innovation of the Year."
Critics are not fully convinced. Writers at TelecomTV argue that decades of tangled legacy code inside billing and operations systems make deploying Agentic AI risky. An AI mistake could trigger a billing error at scale or knock out a network segment. EU regulators are asking a harder question: if an autonomous agent causes a service outage for emergency services, who is legally liable — the vendor or the operator? That debate has no settled answer heading into Copenhagen.
What a Fully Autonomous Telecom Network Would Actually Mean
TM Forum research projects that autonomous operations could cut operational spending for large operators by up to 25% by 2028. That matters because 5G revenue growth has stalled across most markets. Netcracker's platform aims to fill that gap through hyper-personalization — dynamic data plans that adjust in real time based on how a user behaves, which the company says can lift revenue per user by 5–8%.
The workforce impact is just as significant. The traditional role of the network engineer is shifting toward what the industry is calling an "AI Orchestrator" — someone who manages and audits AI agents rather than manually fixing faults. A closing roundtable on June 25 will tackle the ethical rules needed for this model, including how much human oversight should remain in the loop by 2027.
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