Oracle Corporation (NYSE:ORCL) Lagging In AI Patents; International Business Machines Corp. (NYSE:IBM) Leads

Digital space has become of utmost importance to all the technology-related companies. While the theft of data continues to haunt the users in the SMAC revolution, these tech companies suffer losses on theft of their patented ideas and technologies. Recently, it was found that Oracle Corporation (NYSE:ORCL) is lagging behind in the number of artificial intelligence (AI). In 2013, International Business Machines Corp. (NYSE:IBM) remained the leader with patents numbering to approximately 500.

Analyst identify potential hold signals in ORCL.

IBM’s positioning itself in AI patents

In relation to the artificial intelligence, IBM owns maximum number of patents. This will help it in long-term as it will look forward to expand its portfolio on grounds of new information extracted and researched. Other technology companies like Oracle, Microsoft Corporation (NASDAQ:MSFT) and Google Inc (NASDAQ:GOOGL) are lagging far behind. Watson, the supercomputer of IBM, has enabled it to reinforce its position in this arena. According to IBM, Watson has enabled the physicians in bringing down the chances of errors during cancer diagnoses. This company has continued to concrete its position as well as focus on the patents of artificial intelligence.

Protecting the Patents: A Vital Need of Tech Companies

SMAC, or the revolution of social, mobile, analytics, and cloud are transforming the technology space rapidly into digital space. In such a case, influx of information or data (mostly unstructured), along with the advanced processing power as well as cognitive technology, has made machine learning easy.

SMAC has ignited the need for deep learning. It has become vital, therefore, to understand the images’ content, while also extracting and organizing relevant info from it. Extraction of this information requires instalment of resources and a company’s valuable time. Deep learning enables companies to deploy it in any context or data, be it structured or unstructured. In 2014, IBM understood this opportunity and put in $1 billion for machine learning as well as cognitive computing.

About the Author

Adam is a staff reporter for US Markets Daily Publications & Media, covering foreign affairs and domestic policy.

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