Post by account_disabled on Dec 28, 2023 8:12:45 GMT
Aruba launches Aruba ESP cloud-native platform The industry's first cloud-native technology built to support the Intelligent Edge A new platform that uses artificial intelligence (AI) and automation to help transform data into actionable insights (Actionable Insights), helping businesses stay operational and solve problems quickly to Responding to the rapidly changing needs of business organizations Aruba, a Hewlett Packard Enterprise company (NYSE: HPE), today launched the technology industry's first Aruba ESP (Edge Services Platform). that uses the power of artificial intelligence (AI) to drive the cloud-native platform To predict and resolve issues at the network edge before they occur, Aruba ESP is built on AIOps, Zero Trust network security and Unified Infrastructure. Covering all campus network systems, data centers, including branches and remote workers (Remote Workers), Aruba ESP works fully and automatically, all in one, which can analyze data covering all domains, guaranteeing satisfaction. Satisfied with service (SLA), check for abnormalities and be able to improve operational efficiency by yourself.
It also protects and protects against unknown devices connecting to the network. Aruba ESP is designed to provide a cloud-native experience for users at the edge. Edge) of the network system Organizations can choose to use the service as a service on the cloud or install the system themselves. (On-Premises) and Manged Service through Aruba's various partners or choose to use Telegram Number Data Network as-a-Service through HPE GreenLake. You can also choose payment methods according to usage. Customers can purchase with flexible financing options through HPE Financial Services. The technology market undergoes a major transformation every decade. The past two decades have been centered around the widespread use of mobile devices. This was followed by a move to cloud-based applications. We are now entering an era of data analytics powered by IoT, AI and automation, supported by modern computing and networking to optimize applications and workloads.
New tasks that are coordinated in the cloud but performed at the edge result in organizations generating vast amounts of unstructured data that can be analyzed and acted upon. Optimally, it can be used to improve operational efficiency. Create new experiences for users and create new results that are good for business as well. The key to turning these real-time insights into meaningful action is to analyze and process this data at the point of origin – at the edge – where people Devices and things are connected to the digital world. Being able to build actionable insights based on this data is critical. For this unprecedented time in history, business organizations, employees, and networks that must adapt to the rapidly changing needs of business and workplaces Harnessing the unstructured data at the edge requires networks that harness the power of AI through network telemetry to process the massive data.
It also protects and protects against unknown devices connecting to the network. Aruba ESP is designed to provide a cloud-native experience for users at the edge. Edge) of the network system Organizations can choose to use the service as a service on the cloud or install the system themselves. (On-Premises) and Manged Service through Aruba's various partners or choose to use Telegram Number Data Network as-a-Service through HPE GreenLake. You can also choose payment methods according to usage. Customers can purchase with flexible financing options through HPE Financial Services. The technology market undergoes a major transformation every decade. The past two decades have been centered around the widespread use of mobile devices. This was followed by a move to cloud-based applications. We are now entering an era of data analytics powered by IoT, AI and automation, supported by modern computing and networking to optimize applications and workloads.
New tasks that are coordinated in the cloud but performed at the edge result in organizations generating vast amounts of unstructured data that can be analyzed and acted upon. Optimally, it can be used to improve operational efficiency. Create new experiences for users and create new results that are good for business as well. The key to turning these real-time insights into meaningful action is to analyze and process this data at the point of origin – at the edge – where people Devices and things are connected to the digital world. Being able to build actionable insights based on this data is critical. For this unprecedented time in history, business organizations, employees, and networks that must adapt to the rapidly changing needs of business and workplaces Harnessing the unstructured data at the edge requires networks that harness the power of AI through network telemetry to process the massive data.