Interview with Arnd Baranowski, CEO of Oculus, for AITech

How important is AI for the telecoms industry?

The telecoms industry was one of the early adopters of AI.

AI has always played a significant role in the digital transformation strategies of telecoms companies and AI-driven innovations are helping automate business processes, analyze large volumes of data and make better, faster decisions.

Overall, AI holds the potential to significantly improve and even revolutionize the network and business operations of service providers and network operators.

Of course, fraud detection is an important new area where AI can be used to analyze and detect fraudulent activity, such as unauthorized access to telephony systems or other network resources.

How is Oculeus using AI in your telecoms fraud prevention solutions?

AI plays a central role in our telecoms fraud prevention solution and positions our customers to be able to identify and block fraudulent telecommunications traffic before any significant financial damage is caused.

We apply AI to learn a customer’s regular communications traffic and patterns and to monitor continually for exceptions to a baseline of expected network activities. In addition, the baseline itself is also continually refined and updated by our AI, taking into consideration the customer’s unique business conditions and policies.

Are you applying AI in your other products?

Yes, our core wholesale traffic management system also relies heavily on AI technologies. For instance, the AI automatically diagnoses and corrects errors that may be present in the wholesale price lists that telcos exchange with each other. These price lists are generally lengthy and notoriously complex to process as each telco uses its own unique format. Our AI normalizes the formatting to a single common standard and also hunts for human or technical errors, which it is then able to fix automatically. Here, our AI has trained itself to understand what was really intended.

Where else in the telecoms industry are you seeing AI being applied?

Network optimization is one example, where AI is being used to analyze large amounts of data from networks to identify bottlenecks and inefficiencies. This can help improve network performance and reduce costs.

For customer service, AI-powered chatbots and virtual assistants are widely deployed to handle straightforward customer queries, freeing up human customer service representatives to handle more complex issues.

In marketing and sales, AI helps telecom companies personalize their marketing and sales efforts by analyzing customer data to better understand individual needs and preferences.

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