IBM has announced partnerships with six European firms using its cloud services to grow their AI, blockchain and analytics businesses.
It will work closely with Dutch logistics firm Koopman Logistics to build its track and trace solution using IBM’s blockchain technology. Koopman transports consignments across Europe and it needed to implement a secure technology to replace its paper-based tracking process. Now it’s using IBM’s blockchain to track consignments using digital records.
The second partnership IBM announced is with Italian multimedia organisation Gruppo 24 Ore, which is using the company’s IBM Watson AI services hosted on the IBM Cloud to help tax professionals respond to questions about the Italian tax coding system. IBM Watson was implemented to process 1.5 million documents relating to the financial system and glean the data it needs to advise professionals.
French bank Crédit Mutuel is also using IBM Watson on IBM’s Cloud environment in France (with a back up in Germany) to power its virtual assistants that help the company’s 20,000 relationship managers advise their customers.
Digital health company Teckel Medical is running its digital health checker on IBM Cloud, while RS Components is making use of IBM’s Cloud platform, building its peer-to-peer marketplace in IBM’s London Cloud Garage, enabling startups to promote, test and sell their inventions online.
Finally, IBM has announced a partnership with Osram AG, a lighting solutions company that has switched its operation to a digital environment powered by IBM Cloud, resulting in greater operational savings and flexibility.
«Enterprises across Europe are gravitating to the IBM Cloud because it helps them modernize their existing infrastructures by gaining access to exciting technologies like AI, blockchain, IoT, analytics and more,» said Sebastian Krause, general manager IBM Cloud Europe.
«At the same time, these companies value IBM’s deep industry and business process expertise, along with IBM’s commitment to the responsible management of their enterprise data.»
Image credit: IBM