HPE
HPE leverages generative AI to enhance AIOps capabilities of HPE Aruba Networking Central platform
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Apply new generative AI Large-Scale Language Model (LLM) models directly to HPE Aruba Networking Central’s AI Search feature to enhance operator experience and network services with improved performance and accuracy
Security-first approach protects critical personal and customer data and limits LLM privacy breach issues
Hewlett-Packard Enterprise (HPE) (Hewlett-Packard Japan LLC; Headquarters: Koto-ku, Tokyo; Representative Executive Officer and President: Koichi Mochizuki) today announced the integration of multiple generative AI large-scale language models (LLMs) into HPE Aruba Networking Central. We are pleased to announce that we are expanding our AIOps network management capabilities. HPE Aruba Networking Central is HPE’s cloud-native network management solution hosted on the HPE GreenLake Cloud Platform. In a related move, Verizon Business is pleased to announce that it has expanded its portfolio of managed services to include HPE Aruba Networking Central.
Unlike other generative AI networking approaches that simply send API calls to public LLMs, HPE Aruba Networking Central’s new built-in set of LLM models are designed with user experience and operational efficiency in mind to improve search responses. Focused on time, accuracy, and data privacy, it incorporates breakthrough
pre-processing and guardrail controls to remove personally and corporately identifiable data. With one of the industry’s largest data lakes, HPE Aruba Networking collects telemetry from approximately 4 million network managed devices and more than 1 billion unique customer endpoints for predictive analytics and recommendations in HPE Aruba Networking Central. It is used to strengthen machine learning (ML) models. The new generative AI LLM capability is built into the AI Search capabilities of HPE Aruba Networking Central and complements the existing ML-based AI overall to provide more advanced insights, better analytics, and more proactive capabilities. Masu.
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said David Hughes, Chief Product Officer, HPE Aruba Networking. “Customers driving modern networking demand security-first and AI-enhanced insights into their critical infrastructure. We continue our history of strong innovation with this bold initiative and are deploying a new approach to implementing multiple LLM models into HPE Aruba Networking Central as we embrace the power of generative AI.” HPE Aruba Networking remains committed to leveraging AI securely and is committed to a security-first approach to personally identifiable information (PII) and customer-identifiable information (CII). LLM within HPE Aruba Networking Central running on the HPE GreenLake Cloud Platform is leveraged through a “sandbox,” a virtual environment built in a protected space. HPE Aruba Networking Central also ensures customer data security with a unique, dedicated LLM that performs pre-processing to remove PII and CII data and improves search accuracy, while responding to network operational questions in seconds. .
The datasets used to train HPE Aruba Networking Central’s generative AI models include tens of thousands of documents that HPE Aruba Networking makes available in the public domain, and over 3 million customer questions collected over years of operation. and up to 10x the scale compared to other cloud-based platforms.
Since its introduction in 2014, HPE Aruba Networking Central provides powerful capabilities to configure, manage, monitor, and troubleshoot networks across wired and wireless LANs, WANs, and IoT, providing functionality across the entire network operations lifecycle. We are integrating. HPE Aruba Networking Central is a SaaS product sold as an annual subscription with a two-tier licensing model: Foundation and Advanced. The new Generated AI LLM-based search engine will be available for HPE in Q2 2024 and will be included in both licenses. HPE Aruba Networking Central is available as standalone SaaS and as part of an HPE GreenLake for Networking (NaaS) subscription and available through the HPE GreenLake platform. By providing a purpose-built set of LLMs in a self-contained sandbox, we can maximize both privacy and performance.
Will Townsend, VP and Principal Analyst at Moor Insights and Strategy, said: “Customers are demanding practical AI applications that deliver meaningful improvements to their business. Data and models are essential to effective network management. Leveraging AI for networking and security operations is a new Generative AI is now given a natural language interface.The challenge is to tightly coordinate queries and AI algorithms to deliver relevant and meaningful business outcomes. A set of built-in LLMs run in a built-in sandbox for both maximum privacy and performance.With the announcement of HPE Aruba Networking Central, HPE “This will provide compelling generative AI capabilities that are unique to our customers.”
Partners like Verizon Business are leveraging HPE Aruba Networking Central and their Verizon Managed SD Branch to help organizations achieve more agile, predictable outcomes and improve network and application performance without straining internal IT resources. We support you to improve your performance.
Learn more about HPE Aruba Networking Central
https://www.arubanetworks.com/ja/products/network-management-operations/central/next-generation/ AI Search demo video on HPE Aruba Networking Central
https://www.youtube.com/watch?v=aArlIWvsjqg
■About Hewlett Packard Enterprise (HPE)
Hewlett Packard Enterprise (NYSE: HPE) is a global Edge-to-Cloud company, helping you unlock the value of all your data, everywhere, and accelerate business results. With decades of reimagining and innovating to improve the way people live and work, HPE delivers unique, open and intelligent technology solutions as a service. We deliver cloud services, compute, HPC & AI, intelligent edge, software, and storage with a consistent experience across all clouds and edges to help customers create new business models, develop new engagement, and improve operational efficiency. We help you maximize performance. For more information, please visit https://www.hpe.com.
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