From News Desk

Asiacell, Iraq’s telecommunications operator and LigaData, a provider of data and AI solutions for telecoms, announced new milestones in their long-standing partnership, showcasing tangible business outcomes from recent advancements in data governance, AI innovation; and analytics modernisation.
Through the deployment of LigaData’s Data Platform, AI Fabric and enterprise-wide data governance framework, Asiacell has significantly enhanced its ability to deliver personalized services, optimise operations; and accelerate data-driven decision-making across the organisation.
AI Fabric deployments, now GPU-enabled, have streamlined the training and deployment of predictive models, reduced model rollout time and improving forecast accuracy across key business areas such as churn prevention, marketing personalisation and network optimisation.
Meanwhile, Asiacell’s migration to the modern LigaData Data Platform (LDP) has unified previously siloed data sources into a single analytics environment — increasing scalability, real-time insights and reducing latency across business intelligence workloads.
“Our partnership with LigaData continues to unlock the full value of our data and accelerate our AI transformation journey,” said Amer Sunna, CEO, Asiacell. “These initiatives mark a major step forward in our vision to build an AI-powered organisation — delivering smarter, more personalised and efficient experiences for our customers.”
“Asiacell’s data-driven culture and strategic vision for AI make them one of the most forward-looking telecom operators in the region,” said Bassel Ojjeh CEO, LigaData “Our collaboration with Asiacell has laid a powerful foundation for AI product innovation. From unified data platforms to GPU-enabled AI Fabric. All powered through our R&D centers in Silicon Valley and Dubai. Together, we are positioning Asiacell at the forefront of telecom intelligence.”
The partnership continues to evolve with a shared focus on enabling intelligent operations — building on the success of AI Fabric and LDP to power new data-driven use cases.
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