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Connecting the Dots Between Enterprise Mobility and M2M

Enterprise Mobility

I had the privilege of having breakfast with Dr. Moshe BenBassat, Founder/CEO of ClickSoftware, on a deck overlooking the Mediterranean this morning.  Over an English breakfast, Dr. BenBassat shared that back in 1985 his team had developed software tools to diagnose equipment for the military.  It seems two thirds of all parts replaced were unnecessary.  The parts were being replaced in an effort to find and fix a problem without having first properly diagnosed it.  His team was tasked with designing an artificial intelligence system to process and analyze data in order to properly diagnose problems so only the required parts would be replaced.

In 1985 there were huge challenges to this task.  There were not wireless data networks commercially available.  There was not a lot of data available.  There were no M2M (machine to machine) solutions deployed to gather data, there were not "big data" systems that could crunch numbers in seconds and there were no IBM Watson artificial intelligence systems available to diagnose problems and come up with answers in seconds.  Dr. BenBassat's team was successful, but the final solutions could only be used in areas where there was a lot of time available to come up with an answer.  The system couldn't work in a real-time environment.

A lot has changed since 1985.  Today, equipment/assets, using embedded wireless chips and sensors (M2M), can report on itself and wirelessly send data to a server.  This data can be processed in real-time, analyzed and the diagnosis can be shared wirelessly to the mobile device of a service technician.

Today, with big data analysis, service companies don't have to just rely on manufactures' data to understand when maintenance or repairs are required.  If you have thousands of wind turbines operating and reporting their sensor and system data to your server, it does not take a lot of time to start seeing patterns using big data analysis.  These patterns can help you diagnoses problems, and better plan your future maintenance and repairs in a manner that does not result in unplanned shut-downs.  This results in improved productivity and output.

Dr. BenBassat's system designs, math and algorithms for artificial intelligence were accurate and powerful in 1985, but the technology was not there.  It is a different story today.

Today, it is not the lack of technology that prevents these productivity gains, rather it is the lack of management connecting the dots to existing systems and technologies.  I teach SMAC (social, mobile, analytic, cloud) strategies just about every week somewhere in the world.  Most of my work is not teaching about new technologies, but rather helping CIOs connect the dots to what is already available today.

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Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant

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Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

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Kevin Benedict serves as the Senior Vice President, Solutions Strategy, at Regalix, a Silicon Valley based company, focused on bringing the best strategies, digital technologies, processes and people together to deliver improved customer experiences, journeys and success through the combination of intelligent solutions, analytics, automation and services. He is a popular writer, speaker and futurist, and in the past 8 years he has taught workshops for large enterprises and government agencies in 18 different countries. He has over 32 years of experience working with strategic enterprise IT solutions and business processes, and he is also a veteran executive working with both solution and services companies. He has written dozens of technology and strategy reports, over a thousand articles, interviewed hundreds of technology experts, and produced videos on the future of digital technologies and their impact on industries.