Verizon and IBM have partnered on a suite of solutions that can help customers detect, locate, diagnose, and respond to system anomalies, monitor asset health and help predict failures in near real-time. According to a joint statement, the first phase of the collaboration will leverage Verizon’s wireless networks, including Verizon’s 5G Ultra Wideband (UWB) network, and Multi-access Edge Computing (MEC) capabilities, combined with Verizon’s ThingSpace IoT Platform and Critical Asset Sensor solution (CAS). This combo will be jointly offered with IBM’s market-leading Maximo Monitor with IBM Watson and advanced analytics. The following article offers more details on the collaborative effort.

Just days after announcing a partnership with Google to leverage its cloud AI solution, Verizon was at it again, this time unveiling a collaboration with IBM to work together on AI, 5G, and edge computing development.

The two tech giants will work together on solutions combining the high speed and low latency of Verizon’s 5G and Multi-access Edge Compute (MEC) capabilities, IoT devices, and sensors at the edge. They will also work together and leverage IBM’s expertise in AI, hybrid multi-cloud, edge computing, asset management, and connected operations.

Many industrial enterprises are nowadays seeking ways to use edge computing to accelerate access to near real-time, actionable insights into operations to improve productivity and reduce costs, according to Verizon. To address this need, the first solutions planned from this collaboration are to be mobile asset tracking and management solutions to help enterprises improve operations, optimize production quality, and help clients enhance worker safety, the company announced.

Read the full story on IoT Times


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