As enterprises and service providers navigate the complexities of modern connectivity, MEF is accelerating the adoption of Network-as-a-Service (NaaS). Artificial intelligence’s (AI) integration with NaaS is advancing this shift, enabling service providers to drive new business in meeting the emerging demands of enterprise.

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Read more: MEF’s Kevin Vachon on Accelerating NaaS Adoption and Industry Certifications

As we step into 2025, the telecom landscape in Sub-Saharan Africa presents both significant opportunities and challenges. In an exclusive interview with Telecom Review, Rajiv Aggarwal, Head of Sales, Sub-Saharan Africa, Cloud & Network Services at Nokia, reflects on key takeaways from 2024, the growing role of automation and AI, the escalating importance of security, and the trends set to shape the telecom industry in 2025. His insights offer a roadmap for navigating this rapidly evolving market.

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Read more: Shaping Sub-Saharan Africa’s Telecom Future: Insights from Nokia’s Rajiv Aggarwal

The United Arab Emirates (UAE) is at the forefront of innovation and global digital transformation, delivering next-generation digital services to enterprises and consumers. du, one of the country’s leading telecom and digital service providers, has demonstrated its commitment to advancing the 5G Advanced innovation and UAE’s digital landscape.

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Read more: Saleem Alblooshi Explores How du is Developing the UAE’s 5G Advanced and Sustainable Future

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This holiday season, the retail industry is preparing for an increase in cyberattacks beyond the typical surge.

Recent research revealed that the most persistent challenge the retail industry is facing is the rise in advanced rogue bot traffic, which has surged by 58% compared to last year. Moreover, evasive, rogue bots now account for 70% of harmful traffic targeting retail sites, far higher than the 51% seen on other websites.

Cybercriminals are increasingly leveraging AI-driven tools to launch sophisticated attacks, including malicious bots, API breaches, and DDoS assaults.

To combat these sophisticated threats, retailers are increasingly adopting AI and machine learning (ML) solutions within their cybersecurity frameworks. These technologies enhance threat detection, predictive analytics, and real-time response capabilities, enabling businesses to proactively identify and mitigate potential cyber threats.

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