Trust architecture and digital identity

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A McKinsey survey of telecom executives shows strong interest in ORAN, with 76% of incumbent telecom executives and 88% of newcomer executives planning to invest in the new approach. Overall, 60% plan to use ORAN in at least 20-30% of new network builds.

To achieve this goal, carriers will need people with agile skills to advance engineering practices and drive innovation; data engineering to develop architecture; cloud engineering to develop and test solutions that enable xRAN; product management to enable xRAN evolution; and DevOps to build solutions and accelerate the transition to xRAN.

The need for proprietary hardware knowledge, closed system integration skills and manual operation typical of legacy RAN systems will be reduced.

As digital products and services are built and scaled based on the collection of vast amounts of customer data, trust and privacy become increasingly important. Zero trust architecture, digital identity, and privacy engineering will become increasingly common as companies seek to gain a competitive advantage by winning stakeholder trust.

To meet rising consumer expectations for digital trust, IT security, and data visibility, telcos should consider investing in cybersecurity solutions. Those that do so will be able to deliver new denmark mobile database by building digital identity services on next-generation networks and technologies.

To realize this potential, telecom operators will need professionals with skills in digital identity engineering to build solutions and trusted technologies; cybersecurity architecture and design to ensure assessment and secure access to networks and applications; automation to build digital identity solutions and tools; privacy engineering to manage risk and compliance; network engineering to develop applications and architecture; network operations to monitor and manage emergencies; and DevOps to automate configuration, continuous delivery, and infrastructure.

Manual preparation and verification of documentation for compliance with regulatory requirements will be gradually discontinued.

6. Artificial Intelligence
Advances in AI, and generative AI in particular, are creating opportunities for organizations across the value chain. Telcos can use AI to optimize networks (manage resources based on real-time traffic and data analysis), proactively resolve maintenance issues (analyze patterns and anomalies to identify problems before they occur), and minimize churn (analyze customer behavior to identify those most likely to leave). The combination of AI-enabled cameras and sensors with network maintenance automation will allow telcos to significantly reduce the costs of managing network infrastructure.