IBM and Juniper Networks have announced plans to provide real-time network behavior insights to help customers dramatically improve mobile experiences, address increasing Internet of Things (IoT) application demands and uncover new opportunities gleaned from Big Data.
The two companies will work together to enable the design and delivery of next generation of high-performance network analytics to help communications service providers (CSP) and enterprises to be more agile and efficient, reducing time to deployment and cost, while enhancing end user application experiences.
IBM and Juniper Networks are further delivering on their longstanding partnership and have designed a new solution in which Juniper Networks® MX Router Service Control Gateway (SCG) integrates with IBM Now Factory analytics. The new technology integration enables the optimization of network operations, as well as the customization of service experience based on who is using the network and the applications being run, taking into account the device’s capabilities and location.
“Integrating predictive analytics directly into the stream of data processing – and embedding it into the network of CSPs – will help to ensure the reliability of the network and improve customer engagement,” said Bob Picciano, Senior Vice President, IBM Analytics.“Juniper Networks’ focus on cloud-based analytics complements IBM’s strategy to apply analytics capabilities to help organizations sense, predict and respond to opportunities.”
“By combining Juniper Cloud Analytics Engine and Service Control Gateway with IBM analytics technologies, together we enable our customers to build effective business intelligence and take real-time actions that can optimize performance and create enhanced service experiences,” said Jonathan Davidson, executive vice president, general manager, Juniper Development and Innovation at Juniper Networks. “These analytics capabilities will deliver new levels of insight into the behavior and performance of our enterprise and service provider customers’ applications and networks.”