Disrupt … or Be Disrupted

“Established companies are being disrupted faster than ever before according to the Academy for Corporate Entrepreneurship. The academy also believes that 75% of the S&P 500 will be replaced by 2027.

That is a mind-blowing statistic.

Small businesses are not immune to this potential disruption either. When you consider that there are approximately 30 million small businesses in the US today and they employ almost half of the US workforce this warrants a further look.

What the heck is going on?

In case you hadn’t heard, we are entering a new era of technology innovation. Some claim we are at the precipice of another industrial revolution. History shows that this has happened only three times. The first industrial revolution (beginning ~1784) was typified by mechanical production, steam power, the railroads and telegraph. The second industrial revolution came in the next century (beginning ~1870) with electrical power, mass production, radio, tabulating systems and the advent of the assembly line. The third industrial revolution came in the next century (beginning ~1960) with automated production, programmable computers, electronics, video recorders and eventually the Internet.

At every industrial revolution

  • New industries were created and rapid growth ensued
  • Fortunes were made and fortunes were lost
  • New jobs were created and outmoded jobs eliminated

This fourth industrial revolution is being called the “Age of Intelligence”.  Data is exploding and flows from every device in unprecedented volumes, variety, and complexity. Traditional analytics and other decision support approaches are unable to fully exploit its value … driving a need for new innovation in many areas. New business models, a growing digital economy, aging workforce and global skills shortages are all driving this same need for smarter systems in all facets of life.

We have never seen so many disruptive technologies come along at the same time. It’s an overused cliché but this is a perfect storm of technology-based innovation. Artificial Intelligence (AI or Cognitive Computing) is leading the way. AI is a game changer. When combined with cloud, mobile, social, the Internet of things (sensors), nanotechnology, robotics, drones, 3D printing, new business models and more … it’s a lot to get your head around. It’s nearly impossible to fully understand the impact of this revolution right now … but’s let’s look at few areas …

If you’ve worked as a video rental clerk, travel agent, assembly-line worker, 411 operator, ticketing agent, stock-broker, department store or telephone book advertising salesperson you already know what I mean.

According to a recent McKinsey report … we can expect artificial intelligence technologies to play an increasingly great role in everyday life.  Their potential effect on the workplace has, unsurprisingly, become a major focus of research and public concern. The report also explores which job roles will or won’t be replaced by machines. It can be accessed here.

As for me … I believe the adoption of AI (and other disruptive technologies) will indeed impact our lives in a big way. It will take some time … and will create new roles/jobs and eliminate the need for others.

I am not old enough to remember when “Computer” was job title and not a machine. I do know that role consisted of people who manually computed and/or counted things and the primary tool was the slide rule. Before that, it was the abacus.

Today, those same people who became “Computers” in the 1950s and 60s are more likely to be Accountants, Financial Planners, Controllers even Programmers today … which by comparison are certainly higher value and higher paid roles.

The Information Age (or 3rd revolution) birthed an entire industry (Information Technology).  It impacted corporate structures/strategies/governance and brought us household names like Amazon, Apple, eBay, Facebook, Google, Microsoft, Oracle, Yahoo and too many small businesses to count. It seduced us into wondering what is REALLY possible. At present, Evans Data estimates there are 18.2 million software developers worldwide, a number that is due to rise to 26.4 million by 2019 (a 45% increase). On the whole, that’s a huge amount of positive change and human advancement.

There will always be doom and gloomers who worry that robots will take their jobs. Sure, some statistics show that a large percentage of all employment roles will be impacted by machines within the next two decades. This impact will be good for some and bad for others.

It seems to me that history will repeat itself, and the same outcomes will occur again, in both large and small businesses:

  • Some roles will be eliminated.
  • Some roles will evolve forward and upward.
  • Many new roles will be created.

My point is … now is the time to take action and get ahead of this. The McKinsey report does a good job of detailing the roles and workloads that are most likely to be impacted. I think the more important issue is what are you going to do to make sure your job or company is benefitting from this. You don’t want to be the person left wondering “what happened?”

IBM brought this into the mainstream when cognitive system Watson … beat the best human competitors at Jeopardy! in 2011. That was the starting gun … and the race is on.

My experience with AI/Cognitive Computing (so far) has taught me the following:

  • Information is exploding at such a rate that it is impossible to read, assimilate and apply except in small volumes. Technologies to assist us with decision-making are now mandatory.
  • There is so much new information being generated that it is also impossible for doctors, lawyers or any information based professional to keep up with their professional learning obligations. Do you want a Doctor who is up-to-date on the most recent medical information to treat you or one who hasn’t kept up on the medical literature?
  • Too much information is creating numerous bottlenecks to decision-making and process execution.  Many information based processes are actually getting slower. Resulting delays can cause more errors.
  • Any situation where a human has to read, research, explore, find and or learn new information (before making a decision) is ripe to benefit from artificial intelligence or other new decision support tools.
  • This is particularly the case when unstructured text or documents are involved. This form of data is typically “dark” and not easily locatable. It also takes longer to learn from text-based information.
  • There can often be so much information (hundreds of pages, many documents) that the required time to read and assimilate further bottlenecks decisions from being made … exacerbating the problem.
  • If video or audio  is involved, one can spend countless hours looking/listening for snippets of relevant content. The time invested to reward equation is so poor that most people just skip video/audio altogether when looking for information.
  • Net-net … any situation where human expertise/knowledge is being applied (regardless of information type) could probably benefit from a system that makes cognitive (AI) assistance available. These systems observe, reason, apply, recommend and learn from outcomes … eventually optimizing those same outcomes as guided by humans. They don’t get tired, go on vacation, have a bad day or introduce personal bias and emotion … typically things that subvert optimal decisions and outcomes.

The era of Cognitive Computing (or Artificial Intelligence if you prefer) is here NOW. Like disruptions of the past, there will be winners and losers. Robots and artificial intelligence based tools will certainly transform the nature of work.  I personally think for the better.

But what are you doing about it?

Heed this call to action – whether you are involved with a big business or a small business!

I will be delivering a keynote address and exploring this topic in much more detail at the upcoming Loudoun Small Business Conference on May 15, 2017. This event is the brainchild of the folks who run The George Mason Enterprise Center in Loudoun County, Virginia. Event details can be found here. If you are local, I hope to see you there.

As always, leave me your comments below and check out the following resources and organizations who will be at the event:

 

Entrepreneurship Alive and Well in Local DC Area

I had lunch recently with my good friend and local entrepreneurial legend Ching-Ho Fung.  Ching-Ho was the Chairman of Parature until the recent sale to Microsoft in January for $100 million.  We were both in a reflective mood and discussed the state of entrepreneurship in the DC region.  I was struck how much is happening in support of entrepreneurship.

Along those lines, I attended a DC I-Corps event on 3/28 on the recommendation of Jim Chung, the Executive Director of Entrepreneurship and Technology Transfer for George Washington University.  DC I-Corps is a regional program designed to foster, grow and nurture an innovation ecosystem in the nation’s capital, the nearby states of Maryland and Virginia, and the mid-Atlantic region.  It is sponsored by the National Science Foundation and jointly run by the University of Maryland College Park, George Washington University, and Virginia Tech.

The event featured presentations by four “teams” who are graduating to the next phase of the program and will/may become ventures one day soon.  Keep an eye out for ToxFix, ReadAhead, SmartPupilometer and RedShred.  All four look promising because they address real-world problems.  It’s part of the “Evidence Based Entrepreneurship” concept taught within the program.  I was particularly fascinated with RedShred as their RFP response solution is based on natural language processing techniques … something I have blogged about many times.  It’s a great example of a burgeoning Cognitive Computing solution.

Interestingly … the definition of a start-up by the I-Corps program is “A temporary organization designed to search for a scalable repeatable business model”.  I love this concept since it teaches entrepreneurs to find problems first that they can then address with a solution (and it’s value) before anything else.  It’s the right model.

I can’t tell you how many meetings I’ve been in where some product manager is trying to apply the “every problem looks like a nail if you are a hammer” mentality.  That’s the wrong model.  Additionally, many entrepreneurs think the first thing they need to do to find venture capital.  There is a place for that but it’s not first.

I-Corps has gotten it right.  From what I can tell, this looks like a good program for anyone with an idea, or invention, to get started on the right foot.  In recent years, all of the local universities seem to be been expanding their focus on entrepreneurship.

The Dingman Center for Entrepreneurship at the University of Maryland have certainly expanded their offerings.  Next for them is the 2014 Cupid’s Cup Business Competition.

I plan to attend that one as well … and hope to see you there.  I also plan to blog more on both entrepreneurship (as well as intrapreneurship) going forward … so stop back soon.

As always, leave me your thoughts and comments below.