Building AI into steering of roaming intelligently
One Giant Leap For Usability
Operator roaming departments are struggling with ever-increasing complexity on the one hand and stagnating or dwindling resources on the other. The challenge of doing more with less demands a smarter, more evolved technology solution.
In the words of the late Steve Jobs, “You’ve got to start with the customer experience and work backwards for the technology. You can’t start with the technology…”
The goal here is increased SoR system usability and the key is in using Human Intelligence to put AI to work effectively. We thought, if we can enable the user to leverage the full capabilities of our feature-rich roaming system with a focus on ‘what’ they need the system to do—rather than ‘how’, this would be a great way to deploy AI in roaming departments.
The solution is a giant leap in usability. Roaming managers can now use AI tools with natural language interaction, leveraging AI in the following scenarios:
Type 1: Getting info quickly without knowing the system.
- Example: What welcome messages would user with IMSI X get if they go to country Y?
- Example: Tell me about the roaming experience for IMSI Y for the past 6 months.
Type 2: Data extraction and analysis.
- Example: Subscriber X is reporting network issues. What do you see? Give an in-depth analysis.
- Example: Analyse network performance for subscribers roaming in Italy.
Type 3: Configure through natural language.
- Example: Create a rule to steer all roamers in Ireland to Vodafone.
- Example: Create a rule to allow 5G roaming only for premium subscribers in Canada.
Real Data for Accurate, Useful Responses
To ensure AI tools provide accurate and relevant results, we need to add an extra layer of intelligence. Retrieval Augmented Generation (RAG) makes AI-generated responses precise by grounding them in our own data sets, tailored to specific use cases and capabilities. This enables the AI to answer product-specific questions and generate API commands to make changes or further queries based on user input. The AI delivers responses that are not only accurate but also clear and directly applicable.
An API-driven system is essential to leverage existing capabilities, seamlessly connecting the roaming system with AI tools like ChatGPT. It also powers RAG, allowing AI to handle context-specific queries automatically.In summary, this practical approach to AI in Steering of Roaming empowers non-technical users to harness the network’s existing tools, reduces time spent on configuration tasks, and reduces dependence on vendor support teams. So we’re saying HI (H.I. Human Intelligence) to AI, and seeing one giant leap for Usability in the Roaming Department.
Tags: AI, steering of roaming, UsabilityCategorised in: Blog