In the world of U.S patents, one company stands alone. For the last 22 years, IBM has been granted more U.S patents than anyone else and 2014 was no exception.
In 2014, IBM was issued 7,534 U.S. patents, dramatically outpacing every other technology vendor. In second place for 2014 U.S patents was Samsung, with 4,952 patents, followed in the number three spot by Canon with 4,055 patents. According to IBM, its 2014 patent haul is greater than the combined total of Accenture, Amazon, Google, HP, Intel and Oracle.
Protecting your company’s data is critical. Cloud storage with automated backup is scalable, flexible and provides peace of mind. Cobalt Iron’s enterprise-grade backup and recovery solution is known for its hands-free automation and reliability, at a lower cost. Cloud backup that just works.
IBM’s 2014 patent numbers were an increase from 2013, when Big Blue was issued 6,800 patents. In total, from 1993 to 2014, IBM has racked up 81,500 U.S patents.Though IBM has been at the top of the U.S patent issuing rankings for 22 years, IBM’s patent history goes back more than 100 years. In 2011, IBM celebrated the 100th anniversary of its first patent, U.S. patent #998,631, which was for a ‘perforating machine,’ essentially a punch card system used for tabulation.
In 2014, IBM’s innovations have moved beyond the punch cards of 100 years ago to tackle the challenges of the modern computing era. One of the biggest challenges is security in the cloud, which is something that U.S. patent #8,812,406 aims to help solve. The patent is titled, “Receiving security risk feedback from linked contacts due to a user’s system actions and behaviors.” According to IBM, the patent can be leveraged in an authentication model for cloud security by helping users with control of their data stored in a public cloud.
Another 2014 patent that was granted to IBM is U.S patent number 8,661,132 which is an innovation for “Enabling service virtualization in a cloud.” The patent abstract explains that the innovation involves a service-level specification for information technology services that is obtained from a user.
“The service-level specification is mapped into an information technology specific deployment plan,” the U.S patent number 8,661,132 abstract states. “Information technology specific resources are deployed in accordance with the information technology specific deployment plan to provide the information technology services. “
Mobility is another key area of innovation that IBM tackled in 2014. Among the mobile patents that IBM was granted in 2014 is 8,903,360, for mobile device validation.
“A determination is made as to whether the mobile device is a valid mobile device using the voice data,” U.S patent #8,903,360 abstract states. An access code to the mobile device is sent in response to a determination that the mobile device is the valid mobile device.”
Sean Michael Kerner is a senior editor at Datamation and InternetNews.com. Follow him on Twitter @TechJournalist
Photo courtesy of Shutterstock.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.