Nokia Partners With Streamr to Monetize Data With Blockchain Technology
Nokia, Streamr, and OSIsoft, announced on Wednesday at Consensus 2018, that they will create a service that will allow cellphone users to monetize their data and make purchases.
The information has been released by Henri Pihkala, CEO of Streamr. The partnership will be built on top of the real-time data marketplace provided by Streamr. In this way, producers and consumers will be connected via a common interface.
Mr. Pihkala commented:
“Today marks a hugely significant day in Streamr’s history, not only showcasing our platform to the world on-stage at COnsensus but announcing two stellar partnerships that underline our bold ambition to build the world’s leading, citizen friendly, data ecosystem. It is a great honor to work alongside Nokia and OSIsoft and we look forward to shaping the future of the data economy.”
Streamr’s Marketplace allows providers to list real time data streams. At the same time, consumers can subscribe and pay for access to those data streams. With Streamr’s token DATA, it is possible to make data streams around the world tradeable.
With this partnership, Nokia will integrate its Kuha base stations with Streamr’s data marketplace, allowing Nokia customers to monetize their data and purchase streams from Internet of Things (IoT) devices.
Martti Ylikosko, Radio System Evolution at Nokia, said:
“Providing smart mobile coverage for up to four billion individuals across the world is a major challenge and current solutions don’t go far enough. We recognize a growing movement of empowered mobile customers who want to control and monetize their own data. Our partnership with Streamr reflects our firm belief in the platform, as well as our commitment to better serve our customers.”
The partnership with OSIsoft would enable new business cases and data sharing solutions. OSIsoft provides operational intelligence in the oil and the gas industry. At the same time, it allows more than 1,000 energy and infrastructure companies to gather, manage, analyze, and visualize data.