AI powered intent-based operations
As consumer expectations continue to rise and networks grow ever more complex, most communication service providers (CSPs) today are becoming increasingly aware of the need for intent-based autonomous operations. The next-generation network operating models must seamlessly support self-optimizing networks driven by intent and hyper-automation. It's a paradigm shift from manual network operations to overseeing the machines that handle it.
This transition requires the integration of data, policies, automation, analytics, machine learning, and security into a genuine Intent-based operation. The result? A network that accommodates diverse applications and use cases, leading to significant variations in service demand.
What do we mean by intent based?
Intent-based operations is based on providing a statement of what an operator wants the network to do, or the outcome needed from the network. It is then interpreted by the intent-based system, which will manage the network to achieve the goal. Leveraging on AI/ML technology and the automation involved, these capabilities enable networks to adapt to changing demands and conditions in real time, offering a more responsive and adaptive infrastructure for telecommunications by dynamically allocating network resources to ensure smoother user experience.
Enabling intent-based operations in the network also unlocks wider service diversification to meet customer needs, thereby enabling and unlocking new revenue opportunities for CSPs.
Sam Keys-Toyer, Head of Business & Portfolio Development, Managed Services Networks
Intent-based operations: Another shiny object or a master key for network operations?
Explore with Sam Keys-Toyer why intent-based operations is an inevitable shift in the approach to monetize the 5G investments and support the networks’ dramatic increase in service demand variability.
Audio courtesy of FutureNet
Ericsson Operations Engine turns intents into operations actions
Intent-based and autonomous networks will play a pivotal role in advancing network infrastructure. These systems simplify service definition and network operation, particularly within the dynamic 5G environment. Their objective is to efficiently manage the complexities and variations of services, ultimately aiming for nearly hands-free, autonomous service operation.
To help CSPs in their autonomous journey towards a simplified and closed-loop service operation environment, Ericsson Operations Engine provides an end-to-end framework to translate business requirements intents into real-time network actions. Leveraging on one of the largest Telco AI and Automation use case libraries, Ericsson Operations Engine recommends and takes the necessary actions, checking the intents are met, and supporting with evaluation of solutions options with pre-defined strategies.
A full transparent process to support optimized decision making by maximizing global utility with the speed and agility of processes supporting new diverse services.
Premium Slice operations with guaranteed SLAs
Intent-based operations enables a wider variety of applications and use cases for consumers and businesses with CSPs aiming to monetize configurable services with detailed agreements on functional and non-functional characteristics that require dynamic adaptation to the network that will lead to a dramatic increase in service demand variability
One of the use case examples helps CSPs to predict the state of the network dynamically and in real time while meeting conflicting premium SLA performance from network slicing based operations.
Setting your intentions
The process starts with setting an intent. Intent could be set by the user via chatbot GCP Dailagflow which guides the users with regards to intent setting based on existing capability of the platform through a dialog instead of static options and prevents any under-specification of the intent.
Operating a premium slice
Once an intent is set and onboarded, visibility agents provide visibility into the current and future (predicted) network states. The intent handling function continuously evaluates if the intent is met. If the intent is not being met or predicted to not be met, the intent handling function creates an issue. Solution proposal agents are engaged to provide potential solutions to handle the issue.
Building trust in operations
The need for a full transparent end to end process and explainability is essential to build the trust in intent-based operations. From registering the intent to operating a premium network slice, all decisions recommended and actuated on by the system need to traceable.
From data-driven to intent-based operations
Footage courtesy of FutureNet
Malaysia’s DNB automates and optimizes network management with award winning AI intent-based operations
