Cloud-centric IBM
IBM plans to sow its latest crop of U.S. patents with a strong cloudemphasis, and prepare a feast for its hungry customers.
A substantial number of IBM patents for 2017 — more than 1900 out of 9043 total patents — were for cloud technologies, the company disclosed last month. Those numbers illustrate a clear shift in the company’s roadmap for products and services. In past years chip technology dominated IBM’s patent portfolio, which supported the bulk of the company’s business.
But IBM has pivoted to embrace the cloud as its foundational technology, and shored up its cloudpresence through research and development. The company also received a substantial number of patents for AI (1,400 patents) and for security (1,200).
These thousands of cloud-centric patents is a competitive advantage for IBM because the cloud is the vehicle to deliver its strategic imperatives: Watson artificial intelligence technology, analytics, blockchain, cybersecurity, and other areas such as microservices and serverless computing. For instance, two cloud projects that tap growing interest in serverless computing came out of IBM Research: IBM Cloud Functions, IBM’s serverless computing platform formerly known as OpenWhisk; and IBM Composer, a programming model to help developers build, manage, and scale serverless computing applications on IBM Cloud Functions.
“Many of these patents will be very useful in helping customers with cloud performance, integration and management of a multi-cloudenvironment,” said Judith Hurwitz, CEO of Hurwitz and Associates, Needham, MA. “Hybrid cloudmanagement patents will be really important.”
Intelligence at the edge works with simpler predictive models and locally generated data to make real-time decisions, while clouddatacenters work with massive amounts of data to generate much deeper context, insight, and predictive models, said Paul Teich, an analyst with TIRIAS Research in Austin, Texas.
IBM also can extract value from new server, storage, and network technologies that underpin and improve cloud infrastructures, because cloud-based real-time assistance depends on affordable, reliable, and persistent network latency and bandwidth, Teich said.
“IBM is funding R&D work in all of those areas, as well as developing new algorithms to run on all that clever new hardware, which then enable new services based on their Watson software platform,” he said. “Complex neural network, neuromorphic, and eventually quantum computing accelerators for machine learning and artificial intelligence will live in the cloud for the foreseeable future.”
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source http://news.statii.co.uk/cloud-centric-ibm-patents-promise-payoff/
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