AIOps: From automation to autonomous networks
AI in operations (AIOps) promises a high level of AI-assisted or AI-driven automation in IT and network operations, but telcos face deployment challenges.
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AIOps: From automation to autonomous networks
Transformation impacts every aspect of a communications service provider’s (CSP’s) business, including operations which have undergone constant change since the mid1990s. In that time, their role has altered from offline records related to telephony services to processes that design, install, provision, activate, maintain and manage inventory for every network-based service. AI in operations, or AIOps, envisions a high level of AI-assisted or AI-driven automation in IT and network operations. For this report we surveyed a small, targeted panel of operations experts who are active in TM Forum’s collaborative work on AIOps. We wanted to gain a picture of their adoption, direction and real-world implementation of AIOps, and a measure of its maturity. A large majority of the group we surveyed work in operations for CSPs in hands -on managerial roles. Read the report to understand:
- Why a lot of automation does not need AI
- Where AI can be most usefully introduced and how
- Why new technologies and autonomous networks are major drivers of AIOps
- The benefits of automated networks enabled by AIOps
- The challenges of implementing AIOps
- Learnings and success stories from CSPs around the world, including China Mobile, Orange, PCCW/Hong Kong Telekom and Telecom Argentina
- The role of TM Forum’s Open Digital Architecture and Open APIs
