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MWC25 Doha – AI at Scale: How Service Providers Are Moving from Experiment to Execution

For global service providers, AI is a performance mandate. The pressure to adopt, scale, and deliver measurable business outcomes has never been higher. Yet many  remain stuck between promising pilots and true enterprise-wide execution.

At the heart of MWC25 Doha’s “AI Nexus” theme is a powerful challenge: how do we move from isolated innovation to AI as a core layer of business transformation? At TeKnowledge, we answer that question every day, by enabling AI-First transformation across the full lifecycle of execution. From secure data foundations to skilling frontline teams, we help service providers translate AI potential into real operational performance.

AI Is Everyone’s Business: Making Use Cases Operational

The Omantel transformation journey is a compelling example of how successful AI use cases can emerge from any function, not just engineering, and scale across an enterprise. TeKnowledge supported Omantel through a structured process beginning with strategic workshops, followed by collaborative use-case mapping and real-world proof-of-concepts. This ensured cross-functional alignment and accelerated time to value.

Empowering business users, team leads, and operations managers to co-create solutions is critical. It shifts AI from a top-down directive to a collaborative engine of growth.

Copilot in Action: AI That Works Where People Work

Microsoft Copilot has made AI accessible to more people, but the real power lies in how it’s used. Service providers gain the most value when they go beyond surface-level adoption and drive deep functional integration.

In Omantel’s case, teams moved from early-stage exposure to phased adoption, including model deployment and workflow integration. The result: measurable improvements in customer experience and operations.

 

From Learning to Execution: Skilling That Delivers Impact

Upskilling needs to be tied directly to business outcomes: automating customer onboarding, forecasting demand, optimizing technician dispatch are just few examples. That’s why our learning approach emphasizes learning-by-doing, so teams can immediately apply skills in real-world settings.

Omantel’s accelerated journey, from identifying use cases to deploying live solutions, demonstrates how outcome-oriented skilling accelerates business value.

 

Our Five Pillars for Scalable, Business-First AI

To help service providers transition from experimentation to execution, we focus on five integrated pillars:

Technology: We implement flexible, enterprise-grade AI tools that embed into daily workflows.

Data Readiness: We ensure organizations have integrated, compliant, and contextual data environments.

Cybersecurity: Our AI programs are governed by native security and threat-mitigation frameworks.

Governance: We embed governance frameworks that balance agility with compliance and control.

Digital Skills: Our training is role-based and business-aligned—equipping every level to deploy, manage, and scale AI.

 

Visit Us at MWC25: Build the Future of AI With Teknowledge

At MWC25 Doha, TeKnowledge is proud to partner with Microsoft to help service providers evolve from intent to impact. Visit us at the Microsoft Partner Pavilion to explore our AI execution models, Copilot deployment playbooks, Agentic AI use cases, and workforce readiness blueprints.

Book a 1:1 with our experts on-site, and discover how AI-first execution can help your organization scale faster, operate smarter, and lead boldly into the future.

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