Tech giant Microsoft have partnered with IoT solutions provider Telefonica to enhance data management, analytics and traceability for Azure. As per the terms of the alliance, Telefonica aims to simplify streaming data from their IoT devices to Azure’s IoT hub for their cloud-native customers.
According to Telefonica, public cloud has become a mainstay for organizations seeking IoT solutions. They also say that such organizations often face hindrances when it comes to connectivity. In a bid to resolve this issue, Telefonica claim that they have entered into an alliance with Microsoft to integrate their IoT platform with Azure’s IoT suite, to foster reliable service and data management.
Speaking about the alliance, Vicente Muñoz, Chief IoT Officer of Telefónica, commented:
By integrating Telefónica’s IoT connectivity platform with Microsoft Azure IoT Suite, Telefónica will offer its customers a Global IoT Managed Connectivity Solution that helps Telefónica’s customers to easily, securely and reliably connect their IoT devices to Azure IoT Hub.
The purpose of this integration is to solve customer issues when streaming data from Device to Cloud, leveraging on network authentication and identity to offer a zero-touch device provisioning, reducing device complexity and required customization.
Telefonica say that with this integration, they will be focusing on three key elements to enhance the performance of their platform- product integration, innovation and go-to-market strategy. They also believe that they intend to unlock these elements with the help of their IoT platform’s data management, analytics and diagnosis prowess.
Microsoft are keen to partner with Telefonica. Explaining the same, Ana Alonso, Director Enterprise Customers from Microsoft Spain, commented:
Partnering with Telefónica will provide Telefónica´s customer base with end-to-end IoT solutions covering both Telefónica´s managed connectivity services and Microsoft´s leading cloud-based IoT SaaS and PaaS capabilities with an integrated approach on Security, Data Analytics and Artificial Intelligence.