Simpler operation, scaled performance – the role of the corporate network is becoming more valuable in the age of AI

The biggest challenge for companies today is not the availability of devices, but the efficient operation of increasingly complex network environments. With thousands of endpoints, different user needs and continuous performance expectations, traditional, manual operation models are becoming increasingly difficult to maintain.

Since these environments can no longer be managed effectively with human intervention, network management solutions based on automation and artificial intelligence are coming to the fore, which is also the direction in which Hewlett Packard Enterprise’s networking strategy is built. The acquisition of Juniper Networks, which was completed in November, also fits into this thinking, and which resulted in a rapid, technological-level integration rather than a protracted transition in recent months.

Technological and market foundations of HPE networking strategy

HPE Networking has nearly a decade of experience in developing AI-based network management, which provides a significant competitive advantage in a field where building and fine-tuning functional models requires large amounts of data and even years. The approach is comparable to the development of self-driving vehicles: systems trained over a long period of time and on large data sets now enable significantly more predictable and safer operation in everyday operations.

Automated operation: AI-based operation does not mean new functions, but less manual work. An increasing part of the analysis of network operation, the discovery of the causes of problems and the provision of solution proposals is done in an automated manner, which brings tangible benefits, especially in complex environments.

Elevating the role of the network:In data center and edge environments, performance, energy efficiency, and robustness are no longer separate considerations, but are the foundation of network design to serve AI workloads.

Platform integration:The Juniper Networks acquisition has not left parallel platforms, but has begun to align. In the case of Aruba Central and Juniper Mist, the best capabilities of the two platforms are mutually reflected in each other, providing customers with a more unified operating experience and investment protection.

Market recognition:The

AI for Networking – when the network supports operations

In modern enterprise environments, the operability of the network directly affects the quality of IT services and business reliability.

The essence of AI for Networking is that the AI-based network management system not only collects data, but also actively supports decision-making and error management. The Aruba Central and Juniper Mist management platforms are able to interpret network events in their context, based on anonymized operational data.

In practice, this allows you to avoid having to rely on separate tools and logs in the event of performance degradation or user experience problems.