AI: Trai launches article on optimizing AI and big data for the industry

New Delhi: The telecommunications regulator launched a consultation paper on Friday, seeking views to understand ways to take advantage of artificial intelligence (AI) and big data opportunities for the sector.

As the market for AI and Big Data grows rapidly, so does its use across industries. The telecommunications industry, for example, can leverage AI and big data in areas such as quality of service, spectrum management and network security, the regulator said in the paper titled “Leveraging AI and big data in the telecommunications sector”.

Technologies can also be used to curb pesky communications and provide coverage information inside buildings.

The document, which consists of 40 questions, talks about the opportunities and risk factors involved in leveraging AI and big data. It addresses the issue of customer privacy as well as the adoption constraints of these technologies.

The document also discusses various other aspects where the telecommunications sector can play an important role in leveraging AI and big data in other sectors. Trai asked stakeholders to submit comments by September 16 and to counter comments by September 30.

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The AI ​​market is already large and growing rapidly. In February 2021, the International Data Corporation (IDC) predicted that by 2024, the AI ​​market is expected to cross the $500 billion mark. Additionally, investments in AI and machine learning (ML) companies have increased significantly. Indian AI and analytics start-ups received $1,108 million in funding in 2021, the highest funding ever in seven years, with an annual growth rate of 32.5%.

“While the benefits of AI are significant, it can sometimes have serious consequences such as privacy breaches, discrimination and biased results. The likely risks of AI attract the attention of regulators for review and consider adequate measures to mitigate them without losing potential benefits,” Trai said in the document.

With the increasing adoption of smartphones and the growth of mobile internet, telecom service providers today have access to exceptional amounts of data sources including customer profiles, device data, detailed records calls, network data, customer usage patterns, location data, combined data can become Big Data.

Harnessing these technologies would allow telecom operators to optimize network quality with smarter anomaly detection and prediction, assisted capacity planning, and self-optimization to respond to changing conditions.

“The document covers the opportunities and risks associated with the adoption of AI and big data, such as unethical use, biases in data and algorithms, confidentiality, instability of models , regulatory and legal non-compliance. Means and mechanisms of risk mitigation were also discussed. This also suggests risk management as a design principle,” Trai said.