SATNAC 2024 Industry Solutions Challenge

The telecommunication sector is rapidly adopting AI to boost customer satisfaction and stay competitive. This shift is crucial for companies to provide instant, personalized service and maintain growth. Our organization's challenge is to innovate customer interactions, support, and service quality using AI, which promises a significant transformation in customer experience.

The interest in this challenge stems from the potential AI holds to revolutionize customer interactions. By designing an Intelligent Experience Engine, we aim to leverage AI to deliver Hyper-Personalized Interactions, where services and offerings are tailored to the individual preferences and behaviours of each customer. This level of personalization is expected to significantly increase customer engagement and satisfaction. Moreover, the incorporation of Proactive Customer Support through AI can anticipate customer issues and address them before they escalate, thereby reducing churn and building stronger customer loyalty. AI-powered Quality Assurance ensures that services are consistently delivered at the highest standard, with continuous learning mechanisms to improve over time.

This topic is of paramount interest to Amdocs as it aligns with the company's strategic vision to be at the forefront of innovation in the telecommunications sector. The successful implementation of such an engine has the potential to set a new benchmark for customer service excellence in AI adoption within the telecommunication industry.

In the rapidly evolving telecom industry, fraud detection is crucial to maintaining the integrity of both prepaid and postpaid sales. This hackathon challenges participants to develop innovative solutions that go beyond traditional methods, such as credit limit checks, to detect and prevent fraudulent activities in real-time and keep the revenue intact.

The growth of AI applications in industries such consumer goods, healthcare, finance, autonomous vehicles, natural language processing, and many more has made AI a popular topic in recent years.

As various applications are explored, AI becomes more powerful and intelligent. However, an immense amount of personal data is necessary for all these intelligent and powerful technologies to function.

It is extremely difficult to protect this data and maintain privacy while enabling the development of robust AI applications. Techniques such as differential privacy are currently being explored to address this challenge. However, more techniques can be proposed and explored.

Openserve operates from several buildings that house network equipment for the national provisioning of communication services. The operation of these buildings (collective for all the network equipment housed within) consume large amounts of power and produces carbon emissions.

Openserve is on a drive to optimise energy consumption and use alternate energy to sustain our environment as part of our green initiative. Openserve requires a simplified and automated way to quantify, classify & identify the building sites that present the best opportunity for energy savings.

The output shall be a recommendation model that identifies critical metrics and attributable variables that influence energy consumption at equipment buildings. The model should classify a building and highlight what opportunities can be implemented for energy reduction.

Participants are challenged to envision and design innovative solutions for industries navigating the rapidly evolving landscape of artificial intelligence (AI) and hyperconnectivity. As we move into the future, we are seeing industries being reshaped by the increased convergence of AI, IoT, ubiquitous and pervasive connectivity.

The objective is to:

• Identify a pressing industry need: Select an industry (e.g., telecommunications, education, healthcare, manufacturing, transportation, agriculture, etc.) and identify a specific challenge or opportunity that can be addressed through AI-driven hyperconnectivity as defined in the background.
• Propose a cutting-edge solution: Leverage the latest technologies (AI, IoT, sensors, edge computing, 5G networks, etc.) to develop a detailed solution that meets the identified need. Your solution should be technically feasible, scalable, and demonstrate a clear value proposition.

The telecommunication sector is rapidly adopting AI to boost customer satisfaction and stay competitive. This shift is crucial for companies to provide instant, personalized service and maintain growth. Our organization's challenge is to innovate customer interactions, support, and service quality using AI, which promises a significant transformation in customer experience.

The interest in this challenge stems from the potential AI holds to revolutionize customer interactions. By designing an Intelligent Experience Engine, we aim to leverage AI to deliver Hyper-Personalized Interactions, where services and offerings are tailored to the individual preferences and behaviours of each customer. This level of personalization is expected to significantly increase customer engagement and satisfaction. Moreover, the incorporation of Proactive Customer Support through AI can anticipate customer issues and address them before they escalate, thereby reducing churn and building stronger customer loyalty. AI-powered Quality Assurance ensures that services are consistently delivered at the highest standard, with continuous learning mechanisms to improve over time.

This topic is of paramount interest to Amdocs as it aligns with the company's strategic vision to be at the forefront of innovation in the telecommunications sector. The successful implementation of such an engine has the potential to set a new benchmark for customer service excellence in AI adoption within the telecommunication industry.

Telkom Network Mobile has three divisions that focuses on building, engineering, and maintaining the mobile network within the Consumer Small Business Unit. The three divisions collectively function as Telkom Mobile and include Radio Access Network (RAN) build and engineering, Core build, and Network Operations.

Network Operations is a critical division responsible for the maintenance, monitoring, performance, and quality management of the live network. Network Operations ensures that sites are operational, and customers can continuously access mobile network services.

Network availability is a significant KPI, aids in the generation of revenue for the business, and provides network accessibility to customers. The current challenge with managing network availability is the need for manual and human intervention for monitoring, tracking, and maintenance. Tools and systems in place have limited interventions on:

• Multiple system and tools executing different functions.
• Live site database
• Overall network availability dashboard or summary
• Alarm to faults correlations
• Tracking ageing tickets
• Fault interrogation interface
• Fault handling, handover, and redirecting option
• Automatized escalation matrix
• and Productivity measure on subjective intervention

This results in difficulty in managing network availability, fault prioritisation, fault follow up and tracking and managed service provider SLA management, Operations team OLA management.

Participants are challenged to envision and design innovative solutions for industries navigating the rapidly evolving landscape of artificial intelligence (AI) and hyperconnectivity. As we move into the future, we are seeing industries being reshaped by the increased convergence of AI, IoT, ubiquitous and pervasive connectivity.

The objective is to:

• Identify a pressing industry need: Select an industry (e.g., telecommunications, education, healthcare, manufacturing, transportation, agriculture, etc.) and identify a specific challenge or opportunity that can be addressed through AI-driven hyperconnectivity as defined in the background.
• Propose a cutting-edge solution: Leverage the latest technologies (AI, IoT, sensors, edge computing, 5G networks, etc.) to develop a detailed solution that meets the identified need. Your solution should be technically feasible, scalable, and demonstrate a clear value proposition.