Innovative AIOps Solutions: HPE Integrates GenAI for Aruba Networking Central

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Empowering AIOps: HPE‘s GenAI Integration on Aruba Networking Central

Hewlett Packard Enterprise (HPE) is setting a new benchmark in network management with its latest advancement – the integration of multiple Generative AI (GenAI) Large Language Models (LLMs) into HPE Aruba Networking Central. This strategic move, hosted on the HPE GreenLake Cloud Platform and adopted by Verizon Business, marks a significant step forward in the realm of Artificial Intelligence for IT Operations (AIOps).

A Revolutionary Leap in AIOps

HPE’s integration of GenAI LLMs into Aruba Networking Central represents a paradigm shift in AIOps capabilities. Unlike traditional approaches that rely on public LLMs accessed via API calls, Aruba Networking Central hosts its self-contained set of LLM models. These models boast innovative pre-processing techniques and stringent privacy guardrails, ensuring enhanced user experience, operational efficiency, and data privacy.

Industry Recognition and Endorsement

Will Townsend, Vice President and Principal Analyst at Moor Insights and Strategy, lauded HPE’s initiative, emphasizing the importance of practical AI applications in driving business improvements. He highlighted the critical role of data and models in effective network management, underscoring the significance of tightly aligning queries with AI algorithms to deliver meaningful outcomes.

Unmatched Data Capabilities

Aruba Networking Central leverages one of the largest data lakes in the industry, harnessing telemetry from nearly four million network-managed devices and over one billion unique customer endpoints. This vast data repository powers the platform’s machine learning models, enabling predictive analytics and recommendations for network optimization.

Enhanced AI Search Functionality

The GenAI LLM functionality will enrich Aruba Networking Central’s AI Search feature, complementing existing ML-based AI capabilities. By incorporating GenAI models, the platform aims to deliver deeper insights, improved analytics, and proactive capabilities to streamline network operations.

Security-First Approach

HPE prioritizes data security with a robust security-first approach, ensuring the safety of personal and customer identifiable information (PII and CII). The GenAI LLMs are securely sandboxed within Aruba Networking Central, operating on the HPE GreenLake Cloud Platform. This setup eliminates PII and CII data, enhances search accuracy, and maintains sub-second response times for network operations queries.

Availability and Deployment

The GenAI LLM-based search engine will be integrated into HPE Aruba Networking Central in HPE’s FY24 Q2, included across all licensing tiers. The platform will primarily be offered as a SaaS-based solution, available through an annual subscription with two-tier licensing: Foundation and Advanced. Additionally, it will be part of HPE GreenLake for Networking subscriptions and accessible through the HPE GreenLake platform.

Strategic Collaboration with Verizon Business

Verizon Business will leverage HPE Aruba Networking Central or Verizon Managed SD Branch to enhance network and application performance for organizations. This partnership aims to deliver agile and predictable outcomes without overburdening in-house IT resources, empowering businesses to thrive in the digital era.

Conclusion: Pioneering the Future of Network Management

As HPE pioneers the integration of GenAI into Aruba Networking Central, it underscores the company’s commitment to driving innovation in AIOps and network management. By harnessing the power of AI and data analytics, HPE enables businesses to optimize their networks, enhance operational efficiency, and achieve superior business outcomes. Explore the transformative potential of Aruba Networking Central at Router-switch.com, and embark on a journey towards next-generation network management solutions.

Read More:

The Intersection of AI and Cloud Networking: Navigating the Next Frontier

NaaS 2024: Revolutionizing Network Infrastructure for the Digital Era

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