IBM is looking to build on cloud momentum, with the company set to expand further in Europe. The news comes off the back of the tech giant securing several new customers in healthcare, logistics, energy and more. The announcements showcase how many prospective IBM clients are utilising the company’s cloud for its artificial intelligence, machine learning and blockchain capabilities.
Clients who are Utilising IBMs Cloud
The French bank, Credit Mutuel, is deploying IBM Watson virtual assistants throughout all lines of its business. This is run on IBM’s cloud in France, with a backup in Germany. Koopman Logistics, a Netherlands based company, will aim to track and trace consignments across its supply chain via IBM’s blockchain. There is also an Italian based media firm, Gruppo 24 Pre, Spanish digital health provider Teckal Medical, UK based RS Components, as well as Osram AG, a lighting solutions firm based in Germany.
Last month at CeBIT, IBM announced 18 new availability zones across North America, Europe and the Asia Pacific regions. This is as well as other launches designed with security and privacy as the main focus. “Our new availability zones and regions architecture is the next step in the evolution of our public cloud platform, and it’ll immediately reinforce and supplement the broad portfolio of infrastructure, platform, and software services that our clients trust to fuel their businesses,” wrote Andrew Hately, VP, DE and chief architect IBM Watson and Cloud Platform at the time.
The Importance of Extracting Data
In an interview with Cloud Computing News carried out earlier this year,, IBM general manager of cloud infrastructure services, John Considine, demonstrated the importance of extracting data to obtain actionable insights for business as key. What’s more, he explained how the emerging technologies were forming part of these extraction methods.
“One of our theories leading into the cloud, for the past few years, is that data is enormously important for the enterprises – and given more than 80% of the world’s data is still maintained behind the corporate firewall, our focus has been how… we enable the businesses to take advantage of that data, to combine it with new processing techniques, new data sets, and new capabilities,” Considine said.
“[It’s about] all the things associated with machine learning and deep learning, analytics and bringing all of these things together in a form that allows them to tap into those resources and deliver not only application modernisation but really even process reinvention,” he added.
Just like Considine, it is important to make note of how much data is in less-than-easy spots. IBM shared a similar statistic when a new partnership with CA Technologies was announced last month. Almost 80 percent of all enterprise data is still managed on the mainframe.
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