Mavenir accelerates AI for CSPs and Enterprises with 5G Video Analytics

Yesterday, Mavenir announced its Intelligent Video Analytics (IVA) solution. The solution applies AI to video stream analysis, enabling enterprises and CSPs to gain instant insights and actionable intelligence.

Mavenir Introduces Intelligence Video Analytics

The company said that its IVA solution comes with pre-trained deep learning models and pre-configured workflows with AI-infused analytics. These decrease the solution's time to value from several months to a few weeks. Along with this, the company stated that the interface allows users to configure and manage its deployments, helping reduce costs.

Mavenir's solution uses NVIDIA's GPUs to help speed up data processing at multiple workflow stages, which helps deliver insights faster. Since the solution uses an open framework, telcos can deploy the solution across the network on any cloud infrastructure.

Furthermore, the IVA's distributed architecture uses real-time analytics to capture data at edge nodes. Then, it uploads data content of value to a centralized computing function in the cloud. The edge nodes ensure optimized usage of the network’s bandwidth while the transfer of data to the centralized nodes provides capabilities for cumulative analytics, the configuration of alerts, and the management of the edge nodes.

Srinivas Chitiveli, AVP, Product Management, Mavenir Edge AI Apps, and Intelligent Video Analytics, said, "Mavenir’s IVA is the first in a series of exciting products coming soon in the Mavenir AI Apps portfolio. IVA enables enterprises and CSPs to tap into AI-enabled solutions that empower businesses".

Ronnie Vasishta, senior vice president of Telecoms at NVIDIA, said, "working with Mavenir to bring to market their first of many 5G connected edge AI products enabled the first implementation of NVIDIA Metropolis on NVIDIA’s AI-on-5G platform".

Key use cases for Mavenir’s IVA include:

• Manufacturing – defect inspection
• Entertainment – crowd management for large events
• Airports – traveler experiences enhancement
• Retail – shopper experience enhancement