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2016 IBM IoT Analytics Strategy Perspectives from Patents Alex G. Lee ([email protected] ) https://www.linkedin.com/today/author/2853055 IBM announced a plan to invest more than $3 billion over the next four years to build the IoT business unit. Followings show the insights regarding IBM strategy perspectives for developing the IoT analytics to make IBM as the IoT business leader in 2016. Predictive Analytics Predictive analytics analyzes current and historical data to make predictions about future events and trends. Predictive analytics can apply to many IoT applications such as real-time asset management and predictive maintenance of industrial equipment. ©2015 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 1

2016 IBM IoT Analytics Strategy Perspectives from Patents

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Page 1: 2016 IBM IoT Analytics Strategy Perspectives from Patents

2016 IBM IoT Analytics Strategy Perspectives from Patents

Alex G. Lee ([email protected])

https://www.linkedin.com/today/author/2853055

IBM announced a plan to invest more than $3 billion over the next four years to build the IoT business unit.

Followings show the insights regarding IBM strategy perspectives for developing the IoT analytics to make IBM as

the IoT business leader in 2016.

Predictive Analytics

Predictive analytics analyzes current and historical data to make predictions about future events and trends.

Predictive analytics can apply to many IoT applications such as real-time asset management and predictive

maintenance of industrial equipment.

US20140236650 illustrates the cost effective end-to-end analytics driven asset management by managing

maintenance operations (e.g., scheduling, preventive maintenance, operating parameter control). US20140330749

illustrates the system for providing asset lifecycle management. Predictive analytics are applied to determine a

predicted future health condition of the assets. Prescription options for the assets are determined based on the

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Page 2: 2016 IBM IoT Analytics Strategy Perspectives from Patents

current health condition and the predicted future health condition of the assets. US20140330600 illustrates the

performance driven smart city asset management system. Predictive analytics are utilized to analyze key

performance indicators and to provide the suggested action to be taken to maintain the asset. US20140047099

illustrates the system for monitoring the performance of cloud computing environments. US20140058738

illustrates the predictive analytics for determining the probability of the medical treatment outcome. Treatment

uncertainty is reduced by providing the indication of outcome probability for each medical treatment pathway

option.

Big Data Analytics

IoT big data analytics are becoming important to process unimaginably large amounts of information and data that

are obtained by the sensor embedded interconnected IoT devices. Big data analytics require the large storage unit

to provide sufficient data storage space. The solid-state storage device (caching device) stores data replicas in the

large storage unit to speed up data access of the system. US20140067920 illustrates the big data analysis system

for analyzing big data according to caching criteria of the caching device. The big data analysis system processes

the cache data to the analyst server via the data transmission interface so as for the analyst server to analyze the

cache data and thereby generate the analysis result. US20140068180 illustrates a system capable of efficiently

analyzing big data.

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Page 3: 2016 IBM IoT Analytics Strategy Perspectives from Patents

US20150134704 illustrates the system for processing large scale unstructured data in real time. The interconnected

IoT sensing devices continuously generate massive information at a very high speed. Thus a technology for

effectively processing a huge amount of information in the form of a data stream in real time is very important. The

real time big data analysis system includes a receiver for receiving streamed input data from live data sources, a

pattern generator for deriving emergent patterns in data subsets, a pattern identifier for identifying a repeating

pattern and corresponding data subset within the emergent patterns, a compressor for reducing the identified data

subset and identified pattern to a compressed signature and a repository for storing the streamed input data with the

compressed signature and without the identified data subset in which the data subset can be rebuilt if necessary

using the compressed signature.

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Page 4: 2016 IBM IoT Analytics Strategy Perspectives from Patents

Link: http://www.slideshare.net/alexglee/internet-of-things-iot-intellectual-property-patent-information-

center-3q-2015

If you want the pdf copy, please send me ([email protected]) your request with your name and affiliation.

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