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Archive for the ‘The Internet of Smart Things’ Category


dilbert on training

I have been researching the difference in approaches to learning between Boomers and Millennials. I recently started reading and hearing about a new approach to hiring and learning called a “high innovation system”.

We know there has been a sea-change in the old hiring for life contract between employer and employee. And the union agreements are disappearing faster than you can say “retiring boomers”. There is also a newer change in the way companies view employees learning.

We originally had a “high commitment system,” which valued long-term employment and on-the-job training. The new approach is called “high-innovation”. Here’s the idea in a quote from  Andrew S. Ross writing in SFGATE

Engineers are typically hired because their skills and knowledge are required for a specific technology or product being developed. This system is seen as cost-effective, since the company can hire required skills and does not have to retrain experienced workers, who usually command higher wages than new graduates. Of course, this puts engineers, who are no longer retrained by their companies, at a disadvantage as they age.

I had an epiphany about why older workers over 40 are becoming an endangered species, not only in the high-tech industry, but in companies worldwide.

I come from a generation of continuing education – workers tagged to go from event to event to learn new skills and improve or update old ones. I wondered why we consider so many older (read post-40) workers as part of the ‘long-term unemployed’. The answer is that “knowing” has replaced “learning”. According to the SFGATE article, if a company can find a worker with a specific skill to fill a job that requires that skill, then there is no need to spend the time and money training someone to learn it.

In today’s flat and hypercompetitive world, it’s the equivalent to trying to teach a square peg ‘roundness’ when simply finding a round peg will do.

It is the difference between the “high-commitment system” in which employees expect to be taught and learn and improve skills while they are working in order to improve their performance, and the “high innovation system” in which people only become employees when they can already perform the skills that are required. How they learned them is not important. Being able to prove they can do them is all that counts.

In the industrial economy, where change happened more slowly, there was time and money to train someone in a new skill. In today’s Digital economy, where there is more talent out there than time or money for training, the trend among some companies is that learning and development is irrelevant. The digital revolution happened so fast that an entire segment of the workforce now has an ‘use by’ date stamped on their foreheads.  It appears that what a Digital Native has already knows will always be in higher demand than what a Digital Immigrant can learn.

To quote Mark Zuckerberg: “I want to stress the importance of being young and technical,” Facebook’s CEO told a Y Combinator Startup event at Stanford University. “Young people are just smarter. Why are most chess masters under 30? I don’t know. Young people just have simpler lives. We may not own a car. We may not have family. Simplicity in life allows you to focus on what’s important.”

The problem with this approach to hiring and learning is that it may work for hard skills, but with regard to softskills – for example people management – learning never stops. You may temporarily find the round peg for the round job, but wait a few months and the shape of things will change. The Digital Immigrants and Digital Natives must both be continuous learners of softskills. And the experience of the older workers – especially in the area of soft skills – will always be an important part of the younger workers learning. Mentors are not born, but only made by adopting and adapting to success, failure, more success over lots of time.

Training for hard skills will soon become as obsolete as the chalk board. My prediction is that it will soon be replaced by performance support utilizing the Internet of Things (IoT) to help people who simply want operational or procedural information on the job.

Training for hard skills will soon become as obsolete as the chalk board. My prediction is that it will soon be replaced by performance support utilizing the Internet of Things (IoT) to help people who simply want operational or procedural information on the job.  Using embedded chips or beacons, machines or equipment will be able to ‘talk’ to you. They will tell you what to do to make them work, how to troubleshoot a problem, instruct you about fixing a broken part, walk you through completing a safety inspection checklist or finishing a regulatory compliance report form. That finally solves the problem of your mind falling off the forgetting curve and takes hard skills training – and the many millions of dollars and uncountable hours of development time – off the high-commitment table.

It’s the people-to-people skills that are still and always will be hard to learn, especially for people who prefer to spend time focused on things or ideas. You cannot put a performance support beacon on a worker and have it instruct you about what to say if their performance is not meeting the company’s expectations. Or they need time off for an operation. Or they are depressed over someone’s death. Or … or … or ….

So that still leaves us with the need to learn soft skills. An area from what I understand Mark Zuckerberg and Facebook could go to school on.

How would you define your company, as high-innovation or high-commitment? And as time marches on is this just a temporal blip on the hiring radar of the Millennial generation? Is high-innovation a symptom of an outmoded approach to training that no longer really works? Will a culture of learning evolve and replace what we once called the high-commitment company? You tell me ….

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Imagine if the equipment you use in the workplace could:

  • show you what you need to know about how they operate
  • tell you how to use them correctly and efficiently
  • help you be safer working with or around them
  • offer you details to complete and submit regulatory forms and checklists
  • show you how to fix them if they are broken
  • provide you with the schematics and diagrams you need
  • help you contact a mentor or emergency assistance
  • and more, lots more.

What if all of this information was delivered automatically whenever you were within a short distance of the machine?  Imagine if it was instantly and securely viewable from any nearby internet-connected device.

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Think of the enormous impact that could have: eliminating errors, boosting employee productivity.  It could dramatically reduce errors and injuries and associated workman’s comp and insurance costs —  all of which would obviously have a positive effect on the bottom line.

We’ve all heard and read about how The Internet of Things in the home will utterly transform the ways in which we live. We’ve heard for years how your refrigerator is going to send a shopping list to your grocery store, your car will make an appointment for an oil change, and the blinds on your windows will automatically close as dusk falls.

What about the Internet of Things in the workplace? It seems to me that far more people need the machines they work with on the job to supply them with specific information.

While I can appreciate that having a dishwasher that will automatically turn itself on when its full might be nice, having a piece of machinery that can provide me with safety warnings or with a checklist before I operate it could prevent me from being seriously injured.

That’s a whole new category that I call “The Internet of Smart Things.”


I recently saw a demo of an app that can make everything I’ve just described above a reality. The app won the Best in Show Award at mLearnCon 2014 DemoFest in San Diego, and it went up against some big names in the Edtech industry.

The app is driven by iBeacon technology connected to any cross-platform internet connected device that can pull information from the cloud. The beacon goes on any machine or piece of equipment and sends out a specific signal when you get close. The app ‘hears’ the signal and calls the cloud for the information on that machine or piece of equipment. You get a tailored menu of information choices that could include safety checklists, operating instructions, functional specs, diagrams, and safety warnings. Whatever you need. Whenever that information is really needed.

You have now crossed over into the Internet of Smart Things.

The opportunities are vast and diverse, across industries ranging from mining, logging oil exploration and refining, to manufacturing, pharmaceutical and medical, construction and engineering, food production and agriculture.

According to a recent Gartner study the size of the market for the Internet of Things (IoT) by 2020 is estimated to be $1.9 Trillion.

And here’s a breakdown by Industry according to another Gartner study:

IoT Market Share 2020

Here’s the link to the 9-minute demo of the app I saw. It’s technical and explains how it works:

https://www.dropbox.com/s/0jq8ohnaykfa09w/DemoFestArchiveBestOfmLearningDemoFest2014Baty.mp4?dl=0

I invite you to take a look and tell me what you think. Looking forward to hearing your thoughts.

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