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Tata Elxsi team of Ramesh Ramanathan and Jayaprakash Govindarajulu, participated in the prestigious "AI for Good" global summit held in Geneva on May 30 and 31, 2024. This summit brought together participants from 38 countries, focused on leveraging Artificial Intelligence (AI) to solve global challenges. Tata Elxsi team was honoured to be among the select few globally, whose AI-based use case was shortlisted for presentation at this esteemed conference.
We presented our AI use case titled "Easing Operations using ML/AI solution for 6G and Beyond, Network Orchestration and Secure Network Operations." It is intended to contribute to standards of 6G network orchestration engine and is also backward compatible for 5G networks with optional plugins.
The mobile industry plays a key role in achieving 53% of the United Nations Sustainable Development Goals (UN SDGs), but there is a noticeable gap in network coverage between developed and low-income countries. 5G coverage stands at 89% in high-income countries, but in low-income countries, it is a mere 1%. This digital divide is mainly caused by the high costs and knowledge barriers linked to increasing mobile network coverage.
NEURON Solution to address High Costs to deploy Mobile Network:
We presented a novel concept, powered by NEURON, that facilitates network credit for vertical use cases related human welfare, such as healthcare and education. An AI-first platform meticulously crafted to harness the power of data and digital twins. NEURON perpetually learns the intricacies of vertical use cases, considering both cost and engineering aspects. This groundbreaking platform introduces two pivotal concepts: Network Social Credits and Autonomous Networks. The goal of this approach is to enable a platform where, governments & enterprises can fund mobile networks and increase the mobile network penetration. Imagine a scenario where the network slice for remote healthcare benefits 100k patients a month with NEURON estimating the amount of network credit to address this requirement, leveraging the power of AI. It can also forecast the growth in beneficiaries over a period, helping the sponsors to understand the impact of their sponsorship in contributing to the specific cause like healthcare, education, rural development, gender equality.
NEURON Solution to overcome Knowledge Barriers:
The knowledge barrier is a significant obstacle in expanding mobile network coverage, especially in low-income regions where skilled manpower is often limited. To address this, we proposed an AI-based solution for autonomous network operations. This advanced technology is designed to autonomously detect and heal technical faults, ensuring continuous and reliable network performance without the need for constant human intervention. By leveraging machine learning algorithms, the system can predict potential issues before they escalate, thereby reducing downtime and maintenance costs.
GenAI Interface in NEURON provides a human-friendly interface for end users. They can express their use cases in natural language, eliminating the need to grapple with complex engineering syntax and semantics
In addition to its fault detection and self-healing capabilities, NEURON includes an AI-driven engine for anomaly detection and security policy enforcement. This engine continuously monitors network traffic for unusual patterns that might indicate security threats or performance issues. Upon detecting anomalies, the system can automatically apply appropriate security policies to mitigate risks, ensuring that the network remains secure and resilient against cyber-attacks. This dual focus on autonomous operations and robust security measures makes our solution a comprehensive approach to overcoming the knowledge barrier in mobile network expansion.
NEURON features an app store where vertical use cases can be stored. These use cases undergo testing once and can then be deployed across multiple geographical locations, simplifying scalability.
Our presentation was met with great enthusiasm and interest from the attendees and the panel of experts. The innovative approach and practical solutions we proposed resonated well with the audience, highlighting the potential of AI and ML in bridging the digital divide and enhancing network operations.
On May 31st, Ramesh also participated in a panel discussion on creating a standardized AI readiness check framework for vertical use cases, to identify and address gaps and limitations. The key to successfully implementing AI lies in effective governance. This involves establishing a reference readiness pattern to evaluate the progress of use case development. Additionally, governance ensures that the right data and machine learning models are used for decision-making. By maintaining robust governance practices, organizations can harness the full potential of AI, driving innovation and achieving their strategic goals.
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