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Ziddu » News » Tarek Saadi: Can Causal AI Help Telecoms Companies Capitalize on Untapped Revenue?
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Tarek Saadi: Can Causal AI Help Telecoms Companies Capitalize on Untapped Revenue?

John NorwoodBy John NorwoodMarch 28, 20253 Mins Read
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Tarek Saadi Can Causal AI Help Telecoms Companies Capitalize on Untapped Revenue?
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As the former head of Ericsson GCC, Tarek Saadi benefits from extensive experience and expertise of the telecommunications industry. This article will examine the potential of causal AI to help telecoms companies uncover unrealized opportunities, creating a significant edge for companies capable of recognizing and implementing emerging technologies.

Both traditional and generative AI have had a profound impact on the telecommunications sector, a trend that does not seem likely to abate anytime soon. As telecoms companies rely more and more on advanced AI technologies such as causal AI, some of the industry’s biggest players are coming to wonder how they ever managed without them.

In corporate strategy, the benefits of both traditional and generative AI are undeniable. These technologies excel at analyzing and utilizing vast data sets to preemptively resolve service issues, tailor automated interactions, improve product offerings, streamline operations, and more. By adopting advanced AI solutions, telecom companies can unlock precise, actionable marketing insights in real time—capabilities that would have seemed unimaginable just a few years ago.

Leading telecommunications companies are harnessing the power of AI to revolutionize everything from customer behavior analysis and market research to forecasting and dynamic content creation. These cutting-edge technologies empower telecom providers to develop smarter, more reliable business strategies. By leveraging AI, companies can now tailor their products and services to meet evolving customer needs with unprecedented precision. What was once a distant goal—personalized marketing for every individual customer—is now a reality. AI not only enhances the effectiveness of advertising but also strengthens customer loyalty by delivering exactly what consumers want, faster and more efficiently than ever.

Thanks to traditional, generative, and causal AI, telecoms companies are accessing accurate, insightful results, enabling them to boost operational efficiency to all-time highs. Not only has AI enabled forward-looking players capable of embracing this innovative technology to achieve a considerable competitive edge, but such advanced technologies present scope to transform the entire telecoms ecosystem.

Ericsson recently launched Cognitive Labs, a research-driven program dedicated to advancing AI for telecoms. Operating virtually rather than from a physical base, Cognitive Labs was launched to explore AI technologies such as active learning, graph neural networks, and large-scale language models. Jean-Christophe Laneri, Ericsson’s head of Cognitive Network Solutions, reflected on Cognitive Labs’ launch as a demonstration of Ericsson’s commitment to leading innovation in AI and making significant contributions to the open-source community. Mr. Laneri highlighted Ericsson’s mission of undertaking world-class research to benefit the academic community while simultaneously enhancing the company’s products to better serve Ericsson customers.

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John Norwood

    John Norwood is best known as a technology journalist, currently at Ziddu where he focuses on tech startups, companies, and products.

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