HPE has renewed its Hpe Juniper Networking Porfolio, promoting its Mist, native to AI platform, to offer network operations with agriculture through more autonomous, intelligent and proactive aiops. The new improvements include diagnosis based on artificial intelligence based on agents, greater visibility and control over autonomous actions, a generalized model of experience (LEM) and new AIOPS features for data centers, all designed to reduce the complexity of IT and guarantee exceptional user experiences from extreme to extreme, from the client to the cloud.
These new capabilities reinforce Greenlake Intelligence, the new generation approach to HPE towards the Autonomous TI and the agricultural Aiops, which displays specialized artificial intelligence agents within a multilevel IT architecture. This model allows real -time problem solving, proactive optimization and smarter decision making, storage and computing. The functionalities of the agriculture integrated in Juniper Mist transform the management of IT of a reactive approach to a proactive one, laying the basis for significant improvements in performance and efficiency.
“Current networks should do more to connect: they must understand, adapt and act,” says Rami Rahim, executive vice president, president and general director of HPE Networking. “With these new capacities of digital twin and agricultural artificial intelligence in Juniper Mist, we continue to transform the network into a proactive partner for the IT area, capable of solving problems before they affect users. It is a decisive advance towards truly autonomous operations, which helps our customers to simplify complexity, reduce costs and offer exceptional digital experiences on large scale.”
HPE is in a unique position to unlock exceptional value for the client when apply
Agentic: accelerating really autonomous operations
HPE Juniper Networking has contributed to lead the transition to autonomous operations, native to cloud and based on artificial intelligence during the last decade, with a unique approach focused on guaranteeing the user experience from end to end. Marvis AI analyzes telemetry in wiring, wireless, WAN and data center domains, and generates automated workflows to simplify operations and reduce costs. The support by IA takes advantage of incident ticket data to continuously train and increase the effectiveness of the Marvis AI engine. In addition, a completely based on API works with external systems and applications, such as Zoom, Teams and Servicenow, to quickly identify and solve the root cause of problems.
Based on these fundamental elements for an agricultural AI, the latest innovations on the Mist platform contribute even more automation, knowledge and guarantees to clients and partners:
- Improved conversational capabilities. The Marvis Assistant AI has expanded its conversational capabilities to facilitate the resolution of problems in real time. Thanks to the use of an agricultural frame, personalized information is provided by autonomous agents that collaborate through wiring, wireless, WAN, client and applications domains.
- Expanded autonomous actions. The Marvis Actions panel now admits the automatic remediation of a greater number of network incidents, including incorrect ports of ports, non -compliant capacity and hardware problems, all under the complete supervision of the IT team.
- Generalized Experience Model (LEM). Lem is an exclusive model of HPE Juniper Networking that analyzes billions of application points of applications such as Zoom and Teams to facilitate the resolution of performance problems in usual collaboration tools and predict future incidents. Now, with the incorporation of Marvis Minis —Gemelos that simulate the user experience -, lem can anticipate the future behavior of applications without the need for real time data of these platforms. This information is transferred to the Marvis’s engine, where autonomous actions are executed to optimize the performance even before users are present.
- AI for operations in the data center. The Marvis AI assistant for data centers is integrated with the ApStra context graphic database to offer intelligent information and lay the bases of autonomous service provisioning. Marvis Minis also extends to the data center to continuously validate the services and ensure the proper functioning of the applications in networks of this environment.
HPE is in a unique position to unlock exceptional value for the client when applying Aiops and agricultural in full multiveous batteries, integrating network results, computing, storage, virtualization, containers and applications.
The most recent Marvis capabilities for data centers complement HPE OPSRAMP, an ITOM Operations Management platform promoted by AIOPS, designed to simplify and automate the management of hybrid, multinube and local environments. It does it through full stack observability and advanced agentic workflows, adapted to the needs of the modern data center.
