Broadband Forum Report Identifies Barriers to Autonomous Networks
Key Highlights
- AI and SDN Adoption Accelerates: 94% of broadband providers plan to use software-defined networking, while 92% consider AI/ML integration critical or important to autonomous networking strategies.
- Data Quality and Interoperability Remain Major Barriers: 83% of respondents cite inconsistent data as a key AI deployment challenge, while 78% identify poor interoperability between vendors as a significant obstacle.
- Legacy Integration and Service Optimization Drive Priorities: 90% identify integration with existing systems as a key challenge.
Broadband Forum report highlights the challenges broadband service providers face in deploying AI-driven network automation.
Broadband service providers are investing in software-defined networking (SDN) and artificial intelligence (AI) to improve network automation, service reliability, and customer experience. However, inconsistent data, vendor interoperability issues, and legacy infrastructure remain significant barriers to autonomous broadband networks, according to a new Broadband Forum report.
The report, Beyond Software-Defined Networking: What It Takes to Make Broadband Networks Autonomous, found that 94% of service providers plan to use SDN in their autonomous networking strategies, while 92% consider AI and machine learning (ML) integration critical or important. Yet 83% cited poor or inconsistent data as a major obstacle to successful AI deployment, and 78% identified vendor interoperability as a significant challenge. Integration with existing systems was a concern for 90% of respondents.
Predictive maintenance leads current and planned AI/ML applications (90%), followed by anomaly detection (72%) and automated fault resolution (69%). Customer experience optimization (87%) and service assurance (85%) were the leading AI deployment use cases.
“A software‑driven foundation gives networks the ability to execute an instruction on its own, while AI provides the intelligence to let it make decisions and adapt to changing conditions automatically,” said Broadband Forum CEO, Craig Thomas.
“Broadband networks are increasingly assembled from hardware, software, cloud platforms and management systems supplied by different vendors, while automation relies on data and control interfaces that need to work consistently across them. Standards make this complex environment easier to integrate and operate at scale by reducing the technical and operational friction that makes those changes harder to implement,” Thomas continued.
“AI needs to understand what that data means and how everything is connected before it can make the right automated decisions,” said Incognito Software Systems Head of Product, Craig Sinasac. “Standards support that evolution by creating consistent definitions, identifiers, and models that describe how network resources relate to the services they deliver and the events that affect them,” he commented.
The report, developed with STL Partners and sponsored by Radisys and Incognito Software Systems, draws on a global survey of 100 broadband network decision-makers and specialists at fixed broadband service providers.
Source: Broadband Forum
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