Mobily Board Strategic Offsite

Amazon Web Services (AWS), a subsidiary of Amazon, is the world's leading cloud computing platform, providing on-demand infrastructure, data, analytics, cybersecurity, artificial intelligence, and enterprise technology services to organizations in more than 190 countries. Since its launch in 2006, AWS has become the technology foundation for digital transformation across industries, supporting governments, Fortune 500 enterprises, startups, and communications service providers as they modernize operations, accelerate innovation, and scale new digital business models.

AWS views artificial intelligence as the next foundational layer of enterprise technology. Rather than focusing on a single AI model, the company has built an open AI ecosystem that enables organizations to develop, deploy, and scale AI applications using their choice of foundation models, enterprise data, and cloud infrastructure. Through services such as Amazon Bedrock, Amazon Nova, Trainium, Inferentia, and Amazon Q, AWS is helping enterprises accelerate AI adoption while maintaining flexibility, security, and governance.

AWS works with many of the world's leading telecommunications operators to modernize network infrastructure, migrate critical workloads to the cloud, and unlock new digital revenue opportunities. As AI reshapes the telecommunications industry, AWS is increasingly focused on enabling intelligent network operations, AI-powered customer engagement, autonomous operations, and data-driven decision-making. The company also collaborates with ecosystem partners to help telecom providers evolve from traditional connectivity businesses into AI-enabled digital service platforms.

• The future of AI in telecommunications and the evolving role of telecom operators
• AI infrastructure and enterprise AI deployment at scale
• Modernizing customer experience through generative AI and intelligent automation
• Creating new revenue streams beyond traditional connectivity
• Building a long-term AI roadmap and strategic priorities for enterprise transformation

Google is one of the world's leading technology companies, combining decades of leadership in artificial intelligence, cloud computing, data analytics, and digital services through Google Cloud and Google DeepMind. Its innovations have shaped many of the technologies that underpin today's AI landscape, including transformer architectures, large language models, and advanced machine learning systems. Today, Google provides organizations with an integrated platform spanning cloud infrastructure, AI, cybersecurity, data, developer tools, and enterprise productivity, helping businesses accelerate digital transformation and innovation at scale.

Google views AI as a transformative technology that will reshape every industry and every business function. Its strategy combines frontier AI research with enterprise-ready platforms, enabling organizations to develop, deploy, and scale AI responsibly. Through Gemini, Vertex AI, Tensor Processing Units (TPUs), AI Studio, and Google Workspace AI, the company is advancing multimodal AI, intelligent agents, enterprise productivity, and data-driven decision-making. Google continues to invest heavily in AI infrastructure while emphasizing responsible AI development, security, and governance.

Google Cloud partners with communications service providers to modernize network infrastructure, strengthen data foundations, and accelerate AI adoption across their organizations. The company supports telecom operators in transforming customer experience, optimizing operations, enhancing network intelligence, and building cloud-native digital services. As AI becomes increasingly integrated into telecommunications, Google sees data, intelligent automation, and multimodal AI as key enablers of future customer engagement, operational efficiency, and business growth.

• The future of AI and Google's long-term AI vision
• How Google applies AI across its own business and operations
• AI-powered customer experience and enterprise transformation
• Data and AI strategies for telecommunications
• Gemini and the evolution of intelligent AI ecosystems
• Live demonstrations showcasing Google's latest AI capabilities and multimodal experiences

Apple is one of the world's leading technology companies, renowned for creating an integrated ecosystem of hardware, software, services, and digital experiences. Through products including iPhone, iPad, Mac, Apple Watch, Apple Vision Pro, and a growing portfolio of services, Apple has built one of the world's most valuable consumer technology ecosystems. The company's success is driven by its focus on seamless user experiences, vertical integration, privacy, and long-term innovation, enabling it to shape how consumers interact with technology across every aspect of their daily lives.

Apple's approach to artificial intelligence is centered on making AI deeply integrated, intuitive, and privacy-first. Through Apple Intelligence, the company combines on-device AI with Private Cloud Compute to deliver personalized experiences while protecting user data. Rather than positioning AI as a standalone product, Apple embeds intelligence across its ecosystem—from Siri and writing tools to image generation, contextual assistance, and spatial computing—leveraging Apple Silicon to provide secure, high-performance AI experiences.

Apple remains one of the telecommunications industry's most influential ecosystem partners, shaping consumer expectations for mobile devices, digital services, and connected experiences. The iPhone continues to drive innovation across 5G, eSIM, satellite connectivity, enterprise mobility, and mobile applications, while Apple's expanding ecosystem of services strengthens customer engagement and long-term loyalty. As artificial intelligence becomes increasingly integrated into mobile experiences, Apple is defining new approaches to on-device intelligence, privacy, and personalized digital interactions that will continue to influence the future of telecommunications.

• Innovation through the integration of hardware, software, and services
• Apple Intelligence and the evolution of Siri and on-device AI
• Digital customer experiences across Apple Retail and the Apple Online Store
• Spatial computing and enterprise applications with Apple Vision Pro
• The growing role of digital content and services, including Apple TV
• Executive perspectives on ecosystem strategy, customer loyalty, and long-term innovation

NVIDIA is the global leader in accelerated computing and artificial intelligence infrastructure. Originally recognized for pioneering graphics processing units (GPUs), the company has evolved into the technology platform powering many of the world's most advanced AI systems, supercomputers, cloud providers, and enterprise AI deployments. Today, NVIDIA provides the hardware, networking, software, and AI platforms that enable organizations to develop, train, and deploy AI at scale across industries including telecommunications, healthcare, manufacturing, automotive, financial services, and scientific research.

NVIDIA views accelerated computing as the foundation of the AI era. Its strategy spans the entire AI technology stack—from high-performance GPUs and networking to AI software, model development frameworks, and enterprise deployment platforms. Through innovations such as NVIDIA AI Enterprise, CUDA, NeMo, NIM microservices, Omniverse, and DGX systems, the company is enabling organizations to build AI factories, deploy sovereign AI infrastructure, and scale generative AI across enterprise environments. NVIDIA also continues to advance digital twins, robotics, and physical AI, supporting the next generation of intelligent systems.

NVIDIA sees telecommunications providers as key enablers of the emerging AI economy. As AI workloads become increasingly distributed, telecom operators are uniquely positioned to provide the infrastructure needed to support AI services at scale. NVIDIA works with communications service providers to accelerate AI adoption through AI-powered network operations, AI-RAN, edge computing, digital twins, and enterprise AI platforms. The company envisions telecom networks evolving beyond connectivity to become intelligent AI infrastructure supporting enterprises, governments, and consumers.

• The future of AI infrastructure and accelerated computing
• Sovereign AI and the growing importance of national AI capabilities
• AI factories and enterprise AI deployment at scale
• NVIDIA AI Enterprise, NIM microservices, and digital twins
• AI applications transforming telecommunications, including network operations, customer experience, and intelligent automation
• Executive discussion on AI strategy, industry trends, and future opportunities for the telecommunications sector

Andreessen Horowitz (a16z) is one of Silicon Valley's leading venture capital firms, investing in technology companies from early-stage startups to global market leaders. Since its founding in 2009, the firm has built a strong reputation for identifying transformative technologies and supporting entrepreneurs across artificial intelligence, enterprise software, cloud infrastructure, cybersecurity, fintech, healthcare, defense, consumer technology, and space innovation. Beyond providing capital, a16z offers strategic guidance, operational expertise, market insights, and access to one of the world's largest technology and innovation ecosystems.

Artificial intelligence is one of a16z's highest-conviction investment areas. The firm invests across the entire AI value chain—from foundational infrastructure and developer platforms to enterprise software, intelligent agents, cybersecurity, robotics, and industry-specific AI applications. Through its research, market analysis, and portfolio companies, a16z provides unique insight into emerging technology trends and how AI is reshaping industries and creating new business models.

While a16z does not develop telecommunications products directly, many of its portfolio companies are building technologies that are highly relevant to the future of communication service providers. These include enterprise AI, cloud infrastructure, developer platforms, customer engagement, cybersecurity, fintech, networking, and satellite communications. Through its investments, a16z offers an early view of the technologies likely to influence the next generation of telecommunications, digital infrastructure, and AI-enabled services.

• Emerging AI investment trends and the future technology landscape
• How startups are accelerating innovation across enterprise AI and digital infrastructure
• Building competitive advantage through collaboration with the startup ecosystem
• Startup showcases highlighting AI, infrastructure, fintech, and space technologies, including companies such as Decagon, Cursor, Moov, and Cape (subject to final confirmation)
• Executive discussion on how telecommunications operators can leverage emerging technologies to drive innovation and create new growth opportunities

Decagon is a leading enterprise AI company building autonomous AI agents that transform customer experience. Founded in 2023, the company enables enterprises to deploy AI agents across voice, chat, email, SMS, and other customer channels, allowing organizations to automate complex customer interactions while delivering personalized, high-quality service. Decagon serves global enterprises across industries including financial services, retail, travel, technology, and telecommunications.

Decagon's vision is to empower every organization to deliver concierge-level customer experiences through AI. Rather than focusing on chatbots, the company develops enterprise AI agents capable of reasoning, taking actions, integrating with enterprise systems, and continuously learning from customer interactions. Its platform combines advanced foundation models with enterprise workflows, enabling organizations to automate customer support while maintaining transparency, security, and human oversight.

Customer experience has become a key differentiator for telecommunications providers. Decagon's AI agents help automate customer service, technical support, billing inquiries, and digital engagement across multiple channels while integrating with enterprise systems. Its platform enables telecom operators to improve response times, reduce operational costs, and deliver personalized customer experiences at scale.

• AI-native customer experience
• Autonomous AI agents for enterprise operations
• Personalization at scale
• Enterprise AI deployment and governance
• The future of AI-powered customer engagement

Cursor is one of the fastest-growing AI developer platforms, building an AI-native code editor that enables software engineers to write, understand, and maintain software more efficiently. Designed specifically for professional development teams, Cursor combines large language models with deep codebase understanding, allowing developers to collaborate with AI throughout the software development lifecycle.

Cursor believes AI will fundamentally change how software is built. Instead of replacing developers, its platform acts as an intelligent engineering partner capable of understanding entire codebases, generating code, debugging applications, explaining complex logic, and accelerating software delivery. The company's vision is to make AI an integral part of every engineering team.

Modern telecommunications companies increasingly depend on software to operate digital services, customer platforms, and network infrastructure. AI-assisted software development enables engineering teams to modernize applications more rapidly, improve software quality, accelerate innovation, and reduce development cycles for enterprise-scale systems.

• AI-assisted software engineering
• Enterprise developer productivity
• AI-native software development
• Modern engineering workflows
• The future of AI-powered engineering teams

Moov is a modern fintech infrastructure company building cloud-native payment technology that enables businesses to embed financial services directly into their products. Its platform provides developer-friendly APIs for payment processing, money movement, digital wallets, and ledger infrastructure, allowing organizations to build scalable financial applications without relying on legacy payment systems.

While Moov's core business is payments infrastructure, the company emphasizes automation, intelligent financial workflows, and developer-first platforms that simplify complex payment operations. Its modern architecture enables organizations to build faster, more secure, and highly scalable digital financial services.

As telecommunications operators continue expanding into fintech and digital financial services, embedded payments have become an important growth opportunity. Moov's platform supports digital wallets, real-time payments, billing, and embedded financial products that can help operators enhance customer experiences and diversify revenue streams.

• Embedded finance
• Modern payments infrastructure
• Real-time money movement
• Digital financial services
• API-first financial platforms

Cape is a privacy-first mobile network operator building secure cellular infrastructure for consumers, enterprises, and government organizations. The company is rethinking mobile connectivity by designing a cloud-native network that prioritizes privacy, security, and resilience while minimizing data collection. Cape is backed by leading Silicon Valley investors, including Andreessen Horowitz, Bain Capital Ventures, IVP, A*, and Costanoa Ventures.

Cape focuses on building secure, software-defined telecommunications infrastructure that supports modern digital services while protecting user privacy. Its platform combines cloud-native networking, encrypted communications, and privacy-by-design principles to create trusted mobile connectivity for both commercial and government use.

Unlike traditional mobile operators, Cape is building a next-generation carrier with privacy and security at its core. Its innovations include encrypted communications, rotating subscriber identifiers, secure roaming, and resilient mobile infrastructure. The company demonstrates how software-defined networks can create differentiated mobile services while addressing growing cybersecurity and data privacy requirements.

• Privacy-first mobile networks
• Secure telecommunications infrastructure
• Cloud-native mobile architecture
• Enterprise and government mobility
• Cybersecurity and trusted communications
• The future of secure wireless connectivity