e& UAE has released a new whitepaper, outlining a blueprint for navigating the future of telecommunications with artificial intelligence (AI). Titled “Unleashing the Power of AI: How e& UAE is Shaping the Future of AI in Telecommunications and Beyond” the whitepaper offers an in-depth exploration of e& UAE’s journey towards becoming an AI-driven organization, significantly contributing to the nation’s digital future. The whitepaper explores e& UAE’s strategic integration of more than 400 AI use cases and 160 machine learning (ML) models across its operations.
Dena Almansoori, Group Chief AI and Data Officer, e&, said, “This whitepaper demonstrates the thoughtful approach, guiding principles, and remarkable AI achievements within e& UAE over the years. Whether adopting AI to improve customer experiences, optimize operations, scale productivity, or reduce costs, we cannot underscore enough the significant impact AI has on the telecommunications sector and beyond.”
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The comprehensive document provides a meticulous overview, detailing how AI is ushering in a new era in which telecom players, like e& UAE, transcend their traditional role as connectivity providers to become architects of complete digital experiences. It offers a unique behind-the-scenes look at e& UAE’s proactive AI and data-driven adoption, including key enablers, use cases, and ethics. It also provides practical guidance and best practices for businesses initiating their AI journeys.
Khalid Murshed, Chief Technology and Information Officer, e& UAE, said, “We’re well-versed in the advantages AI can bring to telcos, and our whitepaper leaves no stone unturned in showcasing how we leverage it to deliver more sustainable, efficient, and innovative operations.”
AI in Action
As of 2024, e& UAE has accelerated its AI deployment to drive sustainability in its resource allocation and energy efficiency and has developed AI processes for network optimization.
The company’s strategic AI implementations provided the telco with insights to identify improvement areas, significantly lowering operational costs. By creating a dedicated Robotic Process Automation (RPA) team and establishing a Robotics Centre of Excellence (CoE), the company successfully implemented RPA solutions across departments, streamlining tasks and reducing manual work.
e& UAE also revamped its approach to sales and marketing by leveraging AI. Whether it be launching the first AI-powered telecom store in the world or deploying AI-driven recommendations, e& UAE ensures every customer enjoys a seamless and personalized experience.
With more than 160 machine learning (ML) models deployed in various functions, the telco addressed challenges such as fraud. By seamlessly integrating AI and ML solutions into its Customer Value Management (CVM) models and adopting innovations such as facial recognition, voice biometrics, and Optical Character Recognition (OCR), e& UAE ensured customer convenience and protection.
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e&'s application of AI and ML extends far beyond its telco vertical, permeating all business pillars, including its enterprise arm, which offers AI-as-a-Service (AIaaS) solutions.
The company has also implemented pioneering programs to upskill its workforce and has launched initiatives such as the AI Graduate Programme (2021), underscoring its holistic approach to AI progress and commitment to ensuring its employees are equipped with the skills needed for the digital future.
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Responsible AI Transformation
e& UAE's whitepaper showcases the company’s commitment to responsible AI deployment, whilst also supporting the UAE's visionary goal of becoming a global AI leader by 2031.
Moreover, e& UAE prioritizes ethical AI deployment and focuses on fairness and transparency by implementing responsible practices to mitigate potential risks and ensure the group’s position as a trusted leader in the AI revolution.
“While this whitepaper marks a pivotal chapter in our journey with AI so far, continuing to build and deploy AI responsibly will be paramount as we navigate the ever-evolving digital landscape,” concluded Almansoori.
