Mobileum Inc. (“Mobileum”), a leading global provider of analytics solutions for roaming and network services, security, risk management, testing and service assurance, and subscriber intelligence, and Digis Squared, a market leader in network services and AI-assisted tools, announced today that the companies have entered a strategic partnership to bring a comprehensive set of network testing and cognitive optimization solutions to market.
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The collaboration brings together Digis Squared’s deep expertise in developing cognitive tools to automate and analyze radio network and edge-to-edge performance, and optimizing networks and capacity management to benefit the customer experience, and Mobileum, whose highly scalable and flexible telecom analytics portfolio enables operators to improve business performance, monitor customer experience, and access new monetization opportunities.
Ron Haberman, Mobileum Chief Product Officer, commented:
“Finding meaning in data is what we do. Mobileum’s Active Intelligence platform enables Communications Service Providers (CSPs) to connect deep network and operational intelligence with real-time actions to increase revenue, enhance the customer experience, reduce costs, and streamline operations. The partnership with Digis Squared extends the edge-to-edge network testing, optimization, planning, and management capabilities we can deliver. In addition, the in-house expertise and capabilities that the Digis Squared team brings in machine learning analytics is a great fit with our predictive analytics and automated actions approach.”
Abdel Rahman Fady, Digis Squared CTO, commented:
“Digis Squared is pleased to partner with Mobileum to provide a more comprehensive testing solution across legacy 2G and 3G technologies through 4G to 5G, Private Networks and OpenRAN. With 5G, IoT, and OpenRAN deployments already underway, this new ecosystem will see CSPs working with a distributed value-chain of stakeholders and information silos that require a new approach to monitoring digital risk and analysing data. AI tools that can swiftly identify issues and automatically solve known problems will be vital to ensure the smooth operations of the highly complex multi-technology, multi-vendor systems, which CSPs rely on today.”