Banking

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Quiz is central to understanding the eSIM - Telco CX benchmarking test, which examines how telecom operators are leveraging eSIM as a digital acquisition and monetisation channel. The report systematically evaluates the customer journey across five critical stages: attract, discover, purchase, activate, and experience. By benchmarking operators on these stages, the analysis highlights where telcos are excelling and where gaps remain in delivering a seamless digital-first experience. The report outlines the decisive levers that leading operators use to differentiate, such as strong visibility, automated compatibility checks, flexible plan configurations, rapid activation, and smooth onboarding. These factors are essential for reducing friction and enhancing user control, ultimately transforming eSIM from a technical feature into a driver of customer satisfaction and business growth. The evaluation framework and key pillars provide a structured approach for assessing each stage, offering telcos actionable insights to refine their eSIM processes. Recommendations at the end of the report guide operators on how to further enhance the eSIM journey, ensuring they remain competitive in a rapidly evolving digital landscape. This benchmarking test is valuable for telco strategists, product managers, and CX leaders seeking to understand best practices and identify opportunities for improvement in their eSIM offerings.

eSIM -Telco CX benchmarking test

Recommendations for telcos to enhance eSIM process

AI infrastructure is at the center of today’s venture capital discussions, as explored in this report on how to invest when everything is moving too fast. The report draws on insights from leading investors at M13 and Basis Set Ventures, who share their perspectives from a recent TechCrunch StrictlyVC event in Los Angeles. It examines the paradoxical nature of the current AI market, where unprecedented growth rates and rapid revenue generation challenge traditional deal pricing and portfolio strategies. The conversation addresses the complexities of investing in startups that must compete not only with other innovators but also with dominant tech incumbents, raising the stakes for both risk and reward.

The report also explores frameworks for identifying resilient companies, such as focusing on regulated industries or distinguishing between depth and velocity markets. It highlights the importance of adaptability, strategic foresight, and the ability to spot genuinely novel ideas amid a flood of iterative business models. Additionally, the discussion considers the broader ecosystem effects of major liquidity events, like the anticipated SpaceX IPO, and how these could reshape local innovation landscapes, particularly in Los Angeles. By synthesizing these expert viewpoints, the report offers readers a nuanced understanding of the challenges and opportunities facing investors in a rapidly evolving technological environment.

How to invest when everything is moving too fast

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Customer Experience is increasingly shaped by the deployment of AI at the edge, as enterprises move beyond traditional IoT-led approaches to embed intelligence directly at operational sites. This report explores the strategic shift toward inference-led edge AI, where value is created by enabling real-time sensing, interpretation, and action at locations such as factories, hospitals, logistics hubs, and smart buildings. The analysis details how edge AI differs in the era of generative and agentic models, emphasizing the importance of hybrid cloud-edge architectures for improved responsiveness, resilience, and operational intelligence. 

The report outlines how enterprises are evaluating edge AI opportunities based on measurable business value and scalability, rather than technology alone. It introduces four primary adoption paths—real-time decision intelligence, efficiency and optimization, human augmentation, and autonomous operations—highlighting where early ROI is emerging. The discussion extends to the evolving vendor ecosystem, noting that successful edge AI deployment requires coordination across cloud, infrastructure, device, and network providers, as well as system integrators. 

For CXOs and technology leaders, the report provides actionable guidance on prioritizing use cases, building hybrid architectures, and fostering ecosystem partnerships. It underscores the need for disciplined use-case selection, readiness in cybersecurity and integration, and a phased approach to scaling edge AI from decision support to selective autonomy. This comprehensive overview equips enterprise leaders to navigate the next frontier of distributed intelligence and realize tangible improvements in customer experience, operational efficiency, and frontline productivity.

AI at the Edge: The Next Frontier of Enterprise Intelligence

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Customer Experience is at the forefront of AI adoption in the Middle Eastern banking sector, as detailed in this report. The document examines how banks across the GCC are moving beyond isolated AI pilots to enterprise-scale deployments, fundamentally reshaping both customer-facing and internal operations. It outlines a three-stage maturity model, from targeted functional deployments to integrated workflows and, ultimately, to platform-led enterprise models. The report profiles leading banks and their AI initiatives, highlighting how these institutions are leveraging AI to automate workflows, enhance risk and compliance controls, and deliver more responsive, personalized services.

A key theme is the shift from fragmented experimentation to infrastructure-led AI strategies. Banks are investing in centralized platforms, workflow engines, and robust compute environments, enabling consistent and scalable AI deployment across multiple business functions. This approach is reducing barriers to production-scale adoption and accelerating the integration of AI into core banking processes such as onboarding, compliance, risk management, and operational monitoring.

The report also emphasizes the strategic alignment between bank-led AI transformation and regional digital infrastructure investments, which is enabling rapid progress. For CXOs, the analysis provides actionable guidance on building common data and workflow layers, prioritizing control-heavy processes, and measuring AI success by its impact on business execution. This resource is essential for banking leaders seeking to understand the evolving landscape of AI maturity and operational transformation in the GCC.

AI Radar: Banks (Middle East edition)

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Quiz is central to understanding the eSIM - Telco CX benchmarking test, which examines how telecom operators are leveraging eSIM as a digital acquisition and monetisation channel. The report systematically evaluates the customer journey across five critical stages: attract, discover, purchase, activ

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eSIM -Telco CX benchmarking test

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