Partner Innovation series: equipment-as-a-service and vertical value integration - Microsoft AI Cloud Partner Program

Partner Innovation series: equipment-as-a-service and vertical value integration

Man standing among warehouse shelves holding a tablet.

Every day our partners leverage Azure platforms, services, and solutions to push the boundaries of technology and create innovative new IoT offerings. They’re taking risks, being transformational, and shifting the trajectory of business digital transformation with products that take advantage of emerging opportunities. Today I am excited to share our latest Azure Partner Innovation video, featuring relayr.

Combining pioneering Industrial IoT (IIoT) technologies with financing and risk-free insurance models, relayr helps companies strengthen their resiliency and future-proof their business. Their equipment-as-a-service IoT solution provides an innovative way for companies seeking immediate results to capture data and achieve efficiencies without heavy IoT architecture or investment. While the concept of equipment-as-a-service is not new (it has been around since the 1960s) bundling IoT with world-class insurance and financing options is. In this next set of videos, we delve into their subscription-based revenue models to learn what it takes to deploy an as-a-service product and how they are enabling vertical value integration.

As always, our Partner Innovation Video series includes two separate videos. Enjoy!

Author

  • Tony Shakib
    General Manager, Microsoft Azure IoT

    Tony leads the Microsoft IoT Business Acceleration (IBA) team inside Azure engineering and drives strategic business engagements for top 100 IoT enterprise accounts, partners, developers and ISV/startups across industries such as IIoT/Manufacturing, Mobility/Connected Vehicle, Smart Spaces/Utilities, Retail, Healthcare and Agriculture.  Tony is accountable for IoT customer value realization (CVR), business development, rapid solution deployment, joint customer GTM programs and accelerating time and process to large-scale commercial deployments.