Cloudera K.K. (Location: Chuo-ku, Tokyo; President and CEO: Yuji Yamaga), the sole company providing AI to data everywhere, announced its recommendations on new requirements for communication resilience for "World Telecommunication and Information Society Day." This comes amidst the increasing sophistication and decentralization of communication infrastructure in the AI era, which is significantly changing the nature of resilience.

In the past, resilience in communication meant "keeping the network from going down." However, this is no longer sufficient. Even in Japan, discussions by the Cabinet Secretariat and the National Institute of Information and Communications Technology (NICT) suggest that communication should be designed on the premise of interdependence with other infrastructures like electricity. This means not merely preventing network outages, but also prioritizing the detection of potential failures and ensuring service continuity through multi-layered alternative means.

Athul Prasad, Global Director of AI Industry Solutions for Cloudera's Communications, Media, and Entertainment division, stated: "As the role of AI in network management expands, infrastructure becomes more decentralized, and the sensitivity of data increases, communication service providers are required to maintain uninterrupted service under any circumstances. This directly aligns with this year's 'World Telecommunication and Information Society Day' theme, 'Empowering the Least Developed Countries through Information and Communication Technologies.' Resilience must now be incorporated into every layer of connectivity, including terrestrial networks, submarine cables, satellites, and data centers."

These challenges become more pressing with the increasing scale and complexity of communication networks. Ericsson predicts that by 2030, global mobile data traffic will reach 280 exabytes per month, and 5G subscriptions will reach 6.3 billion, accounting for two-thirds of all mobile subscriptions. With increased traffic, decentralized infrastructure, and expanded AI-driven decision-making, resilience is no longer just a backend technical issue but a critical management-level theme.

Prasad suggests that, under these circumstances, future communication resilience will primarily depend on three points: data sovereign control, intelligent orchestration across increasingly complex networks, and the ability to safely operate AI at scale.

**Data Sovereign Control**

Communication resilience begins with establishing data sovereignty. A resilient network cannot be built without understanding where sensitive data flows, who can access it, and how it is governed. This importance is further heightened as communication service providers are increasingly asked to open up network data to pursue new services, ecosystem collaborations, and monetization opportunities.

As communication service providers expand into AI services, network APIs, and more decentralized forms of inference, sovereignty becomes both a compliance issue and an architectural challenge. Operators need to understand how data moves, where it is processed, and how it is shared in an increasingly complex environment.

There is also a need to control access to and use of data in a way that promotes, rather than inhibits, innovation. Platforms like Cloudera help achieve consistent data access governance through features such as data lineage and secure data publishing via a more integrated data fabric.

Furthermore, in an uncertain geopolitical environment, where data passes and whether it traverses potentially hostile environments also becomes a critical element of resilience.

**Intelligent Orchestration Across Complex Networks**

Resilience also depends on the ability to integrate and control complex, distributed networks without compromising user experience. One crucial point for the future is the further integration of terrestrial and non-terrestrial networks. In the event of environmental conditions or backhaul failures, satellites can function as backups, supporting connectivity.

However, technical integration alone is not enough. What is crucial is to make users unaware of this complexity. Users expect "it just works" without having to worry about the connected network. Here, AI plays a vital role by managing mobility, signaling, and real-time switching between network environments to maintain seamless connectivity.

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  • Source: PR TIMES
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