Showing posts with label artificial intelligence. Show all posts
Showing posts with label artificial intelligence. Show all posts

Reporting on Industrial IoT Platforms and AI from MWC17

As part of SAP's IoT Influencer program, I had the honor of interviewing Hitachi's Rob Tiffany on Industrial IoT platforms, mobility platforms and the role of artificial intelligence at Mobile World Congress 2017.
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Kevin Benedict
Senior Analyst, Center for the Future of Work, Cognizant
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin's YouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

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

Virtual Reality Moves to Real with Sensors and Digital Transformation

  1. Technology Must Disappear in 2017
  2. Merging Humans with AI and Machine Learning Systems
  3. In Defense of the Human Experience in a Digital World
  4. Profits that Kill in the Age of Digital Transformation
  5. Competing in Future Time and Digital Transformation
  6. Digital Hope and Redemption in the Digital Age
  7. Digital Transformation and the Role of Faster
  8. Digital Transformation and the Law of Thermodynamics
  9. Jettison the Heavy Baggage and Digitally Tranform
  10. Digital Transformation - The Dark Side
  11. Business is Not as Usual in Digital Transformation
  12. 15 Rules for Winning in Digital Transformation
  13. The End Goal of Digital Transformation
  14. Digital Transformation and the Ignorance Penalty
  15. Surviving the Three Ages of Digital Transformation
  16. From Digital to Hyper-Transformation
  17. Believers, Non-Believers and Digital Transformation
  18. Forces Driving the Digital Transformation Era
  19. Digital Transformation Requires Agility and Energy Measurement
  20. A Doctrine for Digital Transformation is Required
  21. The Advantages of Advantage in Digital Transformation
  22. Digital Transformation and Its Role in Mobility and Competition
  23. Digital Transformation - A Revolution in Precision Through IoT, Analytics and Mobility
  24. Competing in Digital Transformation and Mobility
  25. Ambiguity and Digital Transformation
  26. Digital Transformation and Mobility - Macro-Forces and Timing
  27. Mobile and IoT Technologies are Inside the Curve of Human Time
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Kevin Benedict
Senior Analyst, Center for the Future of Work, Cognizant Writer, Speaker and World Traveler
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin's YouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

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

Merging Humans with Enterprise AI and Machine Learning Systems

  1. In Defense of the Human Experience in a Digital World
  2. Profits that Kill in the Age of Digital Transformation
  3. Competing in Future Time and Digital Transformation
  4. Digital Hope and Redemption in the Digital Age
  5. Digital Transformation and the Role of Faster
  6. Digital Transformation and the Law of Thermodynamics
  7. Jettison the Heavy Baggage and Digitally Tranform
  8. Digital Transformation - The Dark Side
  9. Business is Not as Usual in Digital Transformation
  10. 15 Rules for Winning in Digital Transformation
  11. The End Goal of Digital Transformation
  12. Digital Transformation and the Ignorance Penalty
  13. Surviving the Three Ages of Digital Transformation
  14. From Digital to Hyper-Transformation
  15. Believers, Non-Believers and Digital Transformation
  16. Forces Driving the Digital Transformation Era
  17. Digital Transformation Requires Agility and Energy Measurement
  18. A Doctrine for Digital Transformation is Required
  19. The Advantages of Advantage in Digital Transformation
  20. Digital Transformation and Its Role in Mobility and Competition
  21. Digital Transformation - A Revolution in Precision Through IoT, Analytics and Mobility
  22. Competing in Digital Transformation and Mobility
  23. Ambiguity and Digital Transformation
  24. Digital Transformation and Mobility - Macro-Forces and Timing
  25. Mobile and IoT Technologies are Inside the Curve of Human Time
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Kevin Benedict
Senior Analyst, Center for the Future of Work, Cognizant Writer, Speaker and World Traveler
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

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

Digitally Transform and Jettison the Baggage

  1. Developing and implementing an OILS (optimized information logistics systems) for managing the real-time lifecycle of data from collection to archival 
  2. Achieving real-time business operational tempos to respond to digital interactions and user expectations
  3. Implementing intelligent process automation using artificial intelligence and machine learning to augment human thinking and work
  4. Ensuring shared situational awareness through the use of collaboration platforms
  5. Utilizing real-time contextually relevant data to personalize digital experiences 
  1. Digital Transformation - The Dark Side
  2. Business is Not as Usual in Digital Transformation
  3. 15 Rules for Winning in Digital Transformation
  4. The End Goal of Digital Transformation
  5. Digital Transformation and the Ignorance Penalty
  6. Surviving the Three Ages of Digital Transformation
  7. From Digital to Hyper-Transformation
  8. Believers, Non-Believers and Digital Transformation
  9. Forces Driving the Digital Transformation Era
  10. Digital Transformation Requires Agility and Energy Measurement
  11. A Doctrine for Digital Transformation is Required
  12. The Advantages of Advantage in Digital Transformation
  13. Digital Transformation and Its Role in Mobility and Competition
  14. Digital Transformation - A Revolution in Precision Through IoT, Analytics and Mobility
  15. Competing in Digital Transformation and Mobility
  16. Ambiguity and Digital Transformation
  17. Digital Transformation and Mobility - Macro-Forces and Timing
  18. Mobile and IoT Technologies are Inside the Curve of Human Time
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Kevin Benedict
Senior Analyst, Center for the Future of Work, Cognizant Writer, Speaker and World Traveler
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

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

Business is Not as Usual in the Age of Digital Transformation

  1. Becoming a data-centered business
  2. Developing and implementing an OILS (optimized information logistics systems)
  3. Achieving real-time business operational tempos
  4. Implementing intelligent process automation using artificial intelligence and machine learning
  5. Ensuring a shared situational awareness through the use of collaboration platforms
  6. Utilizing real-time contextually relevant data to personalize digital experiences
  7. Redesigning and re-architecting to become a digitally agile business 
  1. 15 Rules for Winning in Digital Transformation
  2. The End Goal of Digital Transformation
  3. Digital Transformation and the Ignorance Penalty
  4. Surviving the Three Ages of Digital Transformation
  5. From Digital to Hyper-Transformation
  6. Believers, Non-Believers and Digital Transformation
  7. Forces Driving the Digital Transformation Era
  8. Digital Transformation Requires Agility and Energy Measurement
  9. A Doctrine for Digital Transformation is Required
  10. The Advantages of Advantage in Digital Transformation
  11. Digital Transformation and Its Role in Mobility and Competition
  12. Digital Transformation - A Revolution in Precision Through IoT, Analytics and Mobility
  13. Competing in Digital Transformation and Mobility
  14. Ambiguity and Digital Transformation
  15. Digital Transformation and Mobility - Macro-Forces and Timing
  16. Mobile and IoT Technologies are Inside the Curve of Human Time
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Kevin Benedict
Senior Analyst, Center for the Future of Work, Cognizant Writer, Speaker and World Traveler
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

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

Digital Transformation - A Revolution in Precision Through IoT, Mobility and Analytics

Fog of War
Sensors allow us to digitally monitor our physical world, and take real-time action on the data from afar.  Plant managers, in fact, can manage multiple manufacturing locations around the world in real-time via sensors and Internet connectivity.  Drone pilots in the Nevada desert; project military force by flying combat missions around the world via sensors and remote control.  Trucking companies can track and manage, via telematics, thousands of trucks, trailers and their cargo all across the country in real-time.  As automation increases due to advances in sensors, bandwidth, artificial intelligence, algorithms and machine learning - precision becomes not only possible, but also all-important.

The “fog of war” describes a chaotic and competitive environment filled with unknowns, uncertainty and imprecise data.  In a not so distant past, military leaders suffering in the "fog of war," desperately sought answers to four key questions:

  1. Where are my enemies?
  2. Where are my friends?
  3. Where are my forces?
  4. What are their strengths?

These unknowns and uncertainties impacted the strategies and tactics military leaders employed. Their focus, and many of their resources, were dedicated to defending against the unknown.  Today mobile apps, sensors and analytics are reducing the “fog of war” in many industries and markets by making more of it “known.”  How then is the revolution in precision transforming businesses and strategies today?

Many companies have not evolved from antiquated business models based on the “unknown and imprecise”, and continue to throw good money after bad by following "estimate-based" models. Sears’ reported this quarter that their sales decreased, and on-hand inventories increased.  These numbers seem to reflect an estimate-based model lacking precise market knowledge.

Many companies continue to follow old school estimate-based models and business case studies that don’t incorporate the availability of massive quantities of real-time data available today.  They have yet to change their strategies and tactics to support the new precision models.

The retailer Macy’s, is also facing a challenging quarter. In response they announced a new business strategy focusing on individual customers and personalizing their experiences (read more on personalization in Cutting Through Chaos in the Age of Mobile Me).  In the past Macy’s focused on selecting inventory and marketing to “regions,” not “individuals." Macy’s regional approach highlights the challenge many companies face exploiting precision data. Edward Deming, the father of quality improvement, once said, “The big problems are where people don't realize they have one in the first place.”  But in this case it seems Macy’s recognized the problem.

Mass marketing to regions is the antithesis of precision.  It is an “estimate-based” strategy formulated in a time when there was inprecise data.  It is not a strategy for today.

Ignoring today’s “revolution in precision” is like a manufacturer ignoring the “continuous quality improvement” (CQI) movement over the past 60 years. CQI is the process-based, data-driven approach to improving the quality of a product or service. It operates under the premise there is always room for improving operations, processes, and activities to increase quality. CQI teaches the importance of measuring everything and working with precise data to document reality and to recognize progress. The American automobile industry tried ignoring CQI for many years and suffered the consequences, while the Japanese auto industry excelled at quality. In another classic quote from Edward Deming, he said, “It is not necessary to change. Survival is not mandatory.” Taking advantage of precision is a must if surviving is in your plan.

The revolution in precision we are experiencing today is the result of our ability to precisely measure, in real-time, all kinds of new things that impact our business as a result of the Internet, mobile devices and connected sensors. These developments make precise data available from all corners of the globe in real-time. Precise data today makes traditional estimate-based business models, strategies and tactics obsolete.

Follow me on Twitter @krbenedict

Watch my latest video at https://www.youtube.com/watch?v=Oi1GJC_1Ddk&feature=youtu.be
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Kevin Benedict
Senior Analyst, Center for the Future of Work, Cognizant Writer, Speaker and World Traveler
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

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

Mobile and IoT Technologies are Inside the Curve of Human Time

Follow me on Twitter @krbenedict
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Kevin Benedict
Writer, Speaker, Analyst and World Traveler
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

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

Strategies for Combining IoT, Mobility, AI, CROME and 3D-Me

None of us like slow mobile applications or those that ask us stupid questions. Our time has value. Google reports 82% of smartphone owners research and compare prices in stores, and we don’t want to be standing in the aisle answering questions the mobile app and vendor should already know. We want our apps to recognize us, the context, and to understand our needs. We want real-time mobile applications connected to mobile commerce vendors running at real-time operational tempos.

In addition to speed, 90% of 18-34 years olds strongly value personalization in their mobile applications. Personalization comes in at least two forms, latent and real-time. Latent personalization means it lays dormant waiting for an application to be launched and then applies a stored personalized content profile. Real-time personalization, however, means dynamic real-time data, consisting of digital, physical and personal (3D-Me data) data, is being always collected and combined with CROME triggers (real-time contextually relevant opportunities, moments and environments) to instantly provide a personalized experience that is relevant now! For example, a security gate automatically opens because it is integrated with a mobile application that geo-fences the security gate. When you are 100 meters away it notifies the security system to open your front security gate, raise the garage door, turn on the inside and outside lights, deactivate the home security system and notifies your family members that you are home.  An AI algorithm understands the real-time meaning and context of the data it is receiving.

Real-time data collected via GPS on your smartphone automatically triggered a real-time, relevant event using real-time artificial intelligence algorithms. Combining real-time 3D-Me data, CROME triggers and artificial intelligence with smart devices connected to the Internet of Things (IoT) means more and more of your daily activities and behaviors can be understood and digital conveniences developed.

The scenario above requires an intimate understanding of the customer, their security systems, smart devices, passwords, locations and behaviors.  I predict that soon consumer scenarios will justify extending enterprise mobile security systems out to consumers.  This means enterprise mobile security vendors may soon expand beyond the enterprise into the integrated consumer mobility/IoT/AI markets as the entire integrated system needs to be secured.

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Kevin Benedict
Mobile Technology and Business Writer, Speaker, Analyst and World Traveler
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

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

Robots and I - Intelligent Process Automation, Siri and More

Today I had the privilege of interviewing two robotics and process automation experts.  I learned there are many different kinds of robots including the humanoid types we see in movies, and robots made entirely out of software.  In this interview we discuss Rob Brown's recent white paper titled Robots and I, the different forms of robots, and then dig deep into how software robots are transforming many industries today with expert Matt Smith.  Enjoy!

Video Link: https://youtu.be/qOPFD3vshec


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Kevin Benedict
Writer, Speaker, Senior Analyst
Digital Transformation, EBA, Center for the Future of Work Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

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

Code Halos - Tracking the Mobile Workforce, Equipment and Other Variables for Optimal Performance

I write and speak often on the need to have a thoughtful Code Halo strategy in addition to your mobile and digital strategies.  Code Halos is the term for the information that surrounds people, organizations, and devices.  Many companies consider Code Halo strategies only for marketing, sales and customer service, but a well thought out Code Halo strategy for work done in the field like maintenance, repairs, asset management, construction and engineering is also important.  Let me try to make the case here.

There are many different objects and variables that can impact the performance of a mobile workforce, especially in the services industry.  In my enterprise mobility workshops I call these things PIOs (performance impact objects), and PIVs (performance impact variables).

Examples of PIOs:
  • People
  • Parts/Supplies/Materials
  • Tools
  • Job locations
  • Equipment (and availability)
  • Transportation (and availability)
  • Vendor (and availability)
  • Subcontractor (and availability)
  • Jobsite access
  • Permits/Approvals
Examples of PIVs:
  • Schedules (dependencies)
  • Qualifications
  • Skills
  • Experience
  • Weather
  • Traffic
  • Condition of equipment repair/maintenance
  • Sickness/Health
  • Funding
Each of these items must come together at the right time and right place to optimize the performance of a field service technician.  I think of PIOs and PIVs in the context of building the first transcontinental railroad in 1869.  In order to be completed and functioning, all the PIOs/PIVs had to come together at the right physical place and time.  If pieces were missing, or misaligned the entire system was delayed or fails.

In an ideal world, we would have full situational awareness.  All of the data from each PIO and PIV would be instantly available to our management system so predictive analytics and artificial intelligence could align all the variables for optimized service delivery.  Full situational awareness does not happen by accident.  It requires a great deal of strategy, planning and execution.

All of the PIOs and PIVs need to be tracked and monitored.  Sensors (IoT), GPS vehicle tracking and smartphones all play an important role here.  The data that is needed to make right decisions, either by a human decision maker or an artificial intelligence system needs to be collected, and as data has a shelf-life, it needs to be timely.  Those on the Titanic knew they were in trouble, but only when it was too late to prevent the trouble.  They would have appreciated good information a few minutes earlier.

Let me provide a scenario for consideration.  A customer calls in and requires repairs to a specialized, expensive piece of equipment.  The repair requires specialized training and skills, certifications, special parts, special tools and experience.  Knowing just the schedules and locations of your field service technicians is not good enough.  You need to know information concerning each PIO and PIV.  In order to optimally provide service to your customer, you need to know and monitor all relevant information, and since most field services teams are mobile, that means mobile technology and wireless sensors must be integrated with as many PIOs and PIVs systems as possible in order to provide the necessary data and visibility to maximize productivity.

When PIOs and PIVs are all connected via a shared network that provides visibility to network members it is called a Network Centric Operation.  A full network centric operational environment may not be economically feasible for 25 service technicians, but for 2,5000 service technicians yes.

If you have an available field service technician without the right experience or qualifications, then that doesn't help.  If you have a qualified, experienced and available field services technician, but without the right tools, equipment, parts or their location is too distant to be of service, then that also doesn't help.

PIOs/PIVs are most often not in one location for easy management.  They are located in many different locations and accessed via many different systems.  Enterprise mobility, sensors, connectivity, integration, dashboards, dynamic scheduling, HCM (human capital management), GPS tracking and event/project management, predictive analytics and artificial intelligence are all required to bring all of these pieces, data and variables together to provide optimal productivity.  Ideally these would be brought together under a considered Code Halo strategy for collecting, analyzing and using data to optimize productivity.



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Kevin Benedict
Writer, Speaker, Editor
Senior Analyst, Digital Transformation, EBA, Center for the Future of Work Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies
Recommended Strategy Book Code Halos
Recommended iPad App Code Halos for iPads

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

Mobile Expert Interview: Moshe BenBassat CEO of ClickSoftware

I surprised Moshe BenBassat at the Mobile World Congress 2014 with an ambush interview, but we have known each other for many years so he agreed to it.  In this interview we talk about artificial intelligence, ClickSoftware's latest acquisition and developments in the enterprise mobility market.  Enjoy!

Video Link: http://www.youtube.com/watch?v=HN43jSvK1ao&list=UUGizQCw2Zbs3eTLwp7icoqw&feature=share


ATTENTION!  Cognizant is hosting a lunch and learn in Santa Clara, CA on February 27th from 12-2 PM on the subject of Beyond Digital Asset Management: An IT Roadmap for Next Generation Digital Marketing.  Forrester Analyst Anjali Yakkundi will be sharing from her research there as well. If you would like to attend, here are more details - http://app.certain.com/profile/web/index.cfm?PKWebId=0x5873675f2e.

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Kevin Benedict
Senior Analyst, Digital Transformation Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

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

Reducing Conjecture with Enterprise Mobility and M2M

Mission critical enterprise mobility is all about removing blind spots from people and processes. ~Kevin Benedict

The competitive battlefield of 2014 will increasingly involve data.  It will be about collecting, transmitting, analyzing and reporting its meaning faster and more efficiently than competitors.  If you can digitally represent locations, events, activities, resources, job skills, assets, schedules, materials, job statuses, etc., in remote and mobile locations accurately, then you have the ability to introduce incredibly powerful algorithms and AI (artificial intelligence) capabilities that will greatly enhance your ability to optimize processes automatically within your software systems.  WOW!  That was a mouth full!  If you have hundreds of locations, projects and job sites and thousands of assets and remote workers, your future viability as a business is likely to depend on your ability to rapidly and efficiently introduce AI into this environment.

Let me introduce another term to our discussion - machine learning.  It is a branch of artificial intelligence relating to the development of systems that can learn from data and the results of past decisions and actions.  An example is a turn-by-turn navigation system that can re-route the driver based upon traffic conditions.  The system can re-route, analyze the efficiency of the new route, and then store the results for future re-routing considerations.  Another example would be a workforce scheduling system that can dynamically analyze thousands of service technicians schedules based upon SLAs, location, job status, skill levels, available equipment, materials and parts and can automatically adjust everyone's schedules throughout the day to optimize productivity and profits.

In order for AI and machine learning to work, there must be accurate data that digitally represents the situation and environment.  If this data is not available, you have a blind spot.  Blind spots lead management to make decisions based upon conjecture.  Conjecture is defined as a proposition that is unproven.  Conjecture is the enemy of AI and machine learning.  Conjecture means decisions are being made that are unsupported by data.  Often the cause of conjecture in a business is the lack of data due to a blind spot in a process.

If you don't know where an asset is located, you can't schedule its arrival at a job site.  If you don't know what skills or experience a service technician has, then it is hard to predict how long a job will take.  These two simple examples demonstrate a blind spot that is likely to lead to management conjecture.  How do you fix a blind spot?

Blind spots are the lack of visibility, so the answer is to provide visibility.  Technology answers can be in the form of mobile devices, mobile applications, GPS tracking, automated data collection, barcode scanners, wireless M2M sensors, video monitoring, etc.  All of these technology solutions can enhance visibility and situational awareness by providing accurate and timely data which eliminates conjecture from decision-making and supports the introduction of AI and machine learning.

Gartner has ranked ClickSoftware as the leader in the top right quadrant for field service management for the last three years.  This is in large part because of the automation, context aware capabilities and artificial intelligence they continue to enhance and expand in their systems.  You can read more about their AI features here - http://www.clicksoftware.com/982c4fab-524c-4d99-82f6-a033aa347ede/news-press-releases-detail.htm.

What is it going to take to eliminate blind spots and conjecture from your business?

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Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

***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.

The Master Plan for Enterprise Mobility and the Role of Digital Transformation and Artificial Intelligence

Enterprise mobility and digital transformations are ultimately about enabling AI (artificial intelligence) and human collaboration to provide better and faster data driven decision making. ~ Kevin Benedict

If you agree with the statement above (it's not mandatory), then what does it take to actually deliver on it?  I believe this is where digital transformation and artificial intelligence comes into play.  First, let's discuss digital transformation.  Wikipedia's (one of my most favorite sites) definition is, "Digital transformation refers to the changes associated with the application of digital technology (i.e. going paperless) in all aspects of human society."

Geography and locations can be digitized through digital maps, satellite images, overlays, GPS tracking and on-the-ground sensors (with embedded wireless chips)  that report on all kinds of measurements and activities to a central server.  The status of machines can even be monitored through wireless sensors.  Think of a train, truck or ship automatically and wirelessly reporting its location, speed and operational status every few seconds to a central server. Mobile workers can report on the status of their work and projects, their physical environment and other activities and events from remote location.  This data paints a picture or digital representation of an environment.  My colleagues at the Center for the Future of Work at Cognizant call this data, "Code Halos."

Having all kinds of real-time data from a location or business process effectively digitizes it.  It provides a digital representation of events and activities that enhances your situational awareness.  It removes the "blind spots" in your area of operation.  Removing these blind spots from business processes are where competitive advantages and ROIs will be found in 2014.

Enterprise mobility enables every mobile user to effectively be a remote sensor.  Each additional sensor increases the situational awareness and intelligence of the organization, and better intelligence wins. ~Kevin Benedict

Once you have an accurate digital representation of your operational area (i.e. activities, resources, assets, events, locations, schedules, times, statuses, etc.) algorithms can be developed to better manage and execute your business based upon the digital inputs.  Algorithms or digital rules can be developed and implemented so rapid and automatic adjustments can be made to schedules, assignments, business processes and workflows using artificial intelligence.  I define artificial intelligence in this context as, "the theory and development of computer systems able to perform tasks, take actions and make decisions based upon data inputs and developed digital rules.  The key is having the data to input.  Mobile and wireless technologies, sensors and the Internet of Things provides the platforms for remote data collection in support of these solutions.

You can see a real world implementation of artificial intelligence integrated with mobile solutions in action in ClickSoftware's solutions ClickButler here - http://blogs.clicksoftware.com/clickipedia-blog/bid/91748/Artificial-Intelligence-Goes-Mobile-with-ClickButler

On a related subject, here is a great new video on the concept of "Code Halos" from my colleagues at the Center for the Future of Work at Cognizant.


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Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

***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.

Interviews with Kevin Benedict