The lowdown: What is artificial intelligence?

Artificial intelligence (AI) can be defined as making machines smart. Machine learning (ML) is a subfield of AI that allows computers to learn directly from examples, data and experience without being explicitly programmed. ML allows computers to learn patterns, find correlations and identify anomalies from large amounts of data (aka “Big Data”).

With better data, the model improves and delivers more accurate results. These insights can be used for making predictions and driving automation, which will permeate every aspect of running businesses in the future – from personalised marketing campaigns to predictive maintenance of electrical grids or self-driving cars. AI and ML are just as relevant for improving lives and business for most of our customers’ as it is for Telenor’s own business.

The potential: How Telenor works with AI

Telenor is on its way to becoming a data-driven company, ultimately creating a competitive advantage with our AI and ML assets. AI has the potential to be applied for optimising network operations, automating customer interactions and personalising marketing and sales campaigns. In addition, AI/ML can be a component delivered to enterprise customers supporting their digitalization. This can be seen in cases such as automating visual inspection of containers for damages, recognizing persons entering dangerous areas, building inventory of objects for a yard area, optimizing feeding of fish or live stook, as we have engagements with several customers on.

Our AI competence lies in our research department and across our operations, especially in Norway, Sweden, Thailand, and Pakistan.

The expert angle: Our views on the AI future

Ieva Martinkenaite, VP, AI and IoT Business Development

"To create value from AI it does not need to be science fiction, indistinguishable from human behaviour or simulating human reasoning. Companies need software that systematically transforms data into predictions, insights and choices that guide business decisions and make business processes increasingly more automated."

Asif Muhammad Iqbal, Head of Advanced Analytics, Digi

“AI is already a part of our daily life, and it will continue to be even more prevalent as automation, optimisation and AI-supported recommendations will make the everyday more convenient for customers and businesses. It goes without saying that AI researchers, developers and users must remember their responsibility towards balancing ethical usage of data and AI with the potential to earn profits.”