C-Suite Network™

Menu
Search
Close this search box.

Category: Technology

Categories
Best Practices Culture Entrepreneurship Industries Management Personal Development Technology

Shaping the Future of A.I.

One of the biggest news subjects in the past few years has been artificial intelligence. We have read about how Google’s DeepMind beat the world’s best player at Go, which is thought of as the most complex game humans have created; witnessed how IBM’s Watson beat humans in a debate; and taken part in a wide-ranging discussion of how A.I. applications will replace most of today’s human jobs in the years ahead.

Way back in 1983, I identified A.I. as one of 20 exponential technologies that would increasingly drive economic growth for decades to come. Early rule-based A.I. applications were used by financial institutions for loan applications, but once the exponential growth of processing power reached an A.I. tipping point, and we all started using the Internet and social media, A.I. had enough power and data (the fuel of A.I.) to enable smartphones, chatbots, autonomous vehicles and far more.

As I advise the leadership of many leading companies, governments and institutions around the world, I have found we all have different definitions of and understandings about A.I., machine learning and other related topics. If we don’t have common definitions for and understanding of what we are talking about, it’s likely we will create an increasing number of problems going forward. With that in mind, I will try to add some clarity to this complex subject.

Artificial intelligence applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, decision trees and machine learning to recognize patterns from vast amounts of data, provide insights, predict outcomes and make complex decisions. A.I. can be applied to pattern recognition, object classification, language translation, data translation, logistical modeling and predictive modeling, to name a few. It’s important to understand that all A.I. relies on vast amounts of quality data and advanced analytics technology. The quality of the data used will determine the reliability of the A.I. output.

Machine learning is a subset of A.I. that utilizes advanced statistical techniques to enable computing systems to improve at tasks with experience over time. Chatbots like Amazon’s Alexa, Apple’s Siri, or any of the others from companies like Google and Microsoft all get better every year thanks to all of the use we give them and the machine learning that takes place in the background.

Deep learning is a subset of machine learning that uses advanced algorithms to enable an A.I. system to train itself to perform tasks by exposing multi-layered neural networks to vast amounts of data, then using what has been learned to recognize new patterns contained in the data. Learning can be Human Supervised Learning, Unsupervised Learning and/or Reinforcement Learning like Google used with DeepMind to learn how to beat humans at the complex game Go. Reinforcement learning will drive some of the biggest breakthroughs.

Autonomous computing uses advanced A.I. tools such as deep learning to enable systems to be self-governing and capable of acting according to situational data without human command. A.I. autonomy includes perception, high-speed analytics, machine-to-machine communications and movement.  For example, autonomous vehicles use all of these in real time to successfully pilot a vehicle without a human driver.

Augmented thinking: Over the next five years and beyond, A.I. will become increasingly embedded at the chip level into objects, processes, products and services, and humans will augment their personal problem-solving and decision-making abilities with the insights A.I. provides to get to a better answer faster.

A.I. advances represent a Hard Trend that will happen and continue to unfold in the years ahead. The benefits of A.I. are too big to ignore and include:

  1. Increasing speed
  2. Increasing accuracy
  3. 24/7 functionality
  4. High economic benefit
  5. Ability to be applied to a large and growing number of tasks
  6. Ability to make invisible patterns and opportunities visible

Technology is not good or evil, it is how we as humans apply it. Since we can’t stop the increasing power of A.I., I want us to direct its future, putting it to the best possible use for humans. Yes, A.I. — like all technology — will take the place of many current jobs. But A.I. will also create many jobs if we are willing to learn new things. There is an old saying “You can’t teach an old dog new tricks.” With that said, it’s a good thing we aren’t dogs!

Start off The New Year by Anticipating disruption and change by reading my latest book The Anticipatory Organization. Click here to claim your copy!

Categories
Best Practices Marketing Personal Development Technology

Your Response to AI Is Actually a Personality Test

I am working with large companies on their use of Artificial Intelligence all the time, and it is possibly the most polarizing technology I have ever been involved with. Some people believe that AI will give us all a life of leisure, with machines doing more of the work so we don’t need to slave away for 40 hours a week. Others are spooked because they think that AI is coming for our jobs. What seems hard for each of those groups is that they are both essentially projecting the same thing–it’s just a question of whether they are optimistic or pessimistic personalities.

I see the same thing with my own clients–AI is equally polarizing, but this time it is around its effectiveness. Some are AI skeptics, talking about how the technology is over-hyped. Others believe it is magic, and will buy anything with those two magic letters. Both views are right–and wrong. AI just isn’t very simple.

Businesses should always be looking to improve their return on investment, which means choosing the simplest technique that solves the problem. Sometimes that’s AI, but often it’s something simpler, cheaper, and lower risk, so we should start there. Many folks are surprised when I say that, because they expect me to be pushing AI for everything, but I don’t see how that makes any sense. I spoke with a potential new client who was so taken aback that as we were leaving, they said to us, “Gee, we speak to a lot of vendors, but thanks for surprising us.”

If you are listening to vendors blathering on about that 5G blockchain kind of AI, it’s time to stop listening to buzzwords and start looking for competence. If it sounds too good to be true, it is. If your spidey sense starts to tingle every time they start talking about neural networks, listen to that inner voice. AI is no different from every other kind of approach out there. Used appropriately, it can be a huge benefit to your business. But you should be asking questions if your vendors wave their hands and can’t really explain why AI is needed and exactly why it works better. Don’t pay surge pricing for the flavor of the month.

Categories
Best Practices Culture Entrepreneurship Industries Management Personal Development Technology

Keeping Up is a Fool’s Game

Many business consultants agree that benchmarking is imperative to strategic planning. By using metrics, a business will study the practices, designs, and financial outcomes of industry leaders with one distinct purpose: To keep up with the pacesetters.

There’s just one problem. Keeping up—with technology, with the competition, with anything in business or life—is what some would call a fool’s game. Think about it: When you’re merely keeping up, what’s the advantage? In reality, there is no advantage; all you’re doing is making yourself just like everyone else.

So how do you gain advantage and truly stand out from the crowd? Here are three suggestions.

1. Get off the Treadmill

Rather than keeping up, a smarter way to benchmark means you will look to the future. Most benchmarking practices are based on two questions:

  • What path are my competitors on right now?
  • And, what are all the successful companies evolving to?

However, there is a third question to ask yourself – and it’s key to moving past the pacesetters:

  • What’s the likely progression of the industry as a whole?

Asking these questions enables you to go beyond your competition and get off the treadmill of keeping up. It opens your eyes to future possibilities—to stay ahead of the pack instead of side-by-side with them.

In my latest book, The Anticipatory Organization: Turn Disruption and Change into Opportunity and Advantage, I reinforce the major competitive edge that comes from the ability to accurately anticipate the future. Think of being anticipatory as a new competency; it’s a mindset that teaches you to elevate tried-and-true strategies like benchmarking to new levels. Unlike traditional benchmarking, which looks backwards and measures what has already worked, being anticipatory requires you to look forward.

2. Use Hard Trends to Get Ahead

Ask yourself: Is your industry faced with cyclical changes, such as seasonal, economic, or sales cycles? If the answer yes, you can expect the normal ebbs and flows that go along with that. But, if the answer is no, there may be even opportunity out there.

Trends that are linear (and not cyclical) present the best opportunity for exponential change. These are trends in technology and innovation that show no signs of slowing down. Think about the future of virtualization, artificial intelligence and the Internet of Things (IoT). How could advances in these areas impact your business?

I call the latter, Hard Trends, and they are things that are sure to happen based on their upward trajectory and other considerations I talk about in the Anticipatory Organization. Knowing how to identify them can give you a powerful window to the future.

3. Learn from a Leader

While Blockbuster worked to maintain its foothold as the largest movie-rental outlet, Netflix was redefining the concept altogether.

Though Netflix began in 1997 by lending or selling physical DVDs to its customers, it already had a technology platform. Consumers could order their movies online and have them delivered through the mail. One thing it didn’t do was open a brick-and-mortar store.

Ten years later, Netflix added streaming media to its mail-order business. From there, consumer behavior and digital technology took care of the rest. By the time Netflix reinvented itself as a content creator in 2012, the majority of its content was consumed online – including on tablets and phones, which didn’t even exist when the company began.

The key here is to realize that moving beyond competition into innovation wasn’t just a small tweak in order to hit a benchmark; it was a complete change in direction. Netflix didn’t even try to compete in the physical space, they made a one-way move and invested in the future of streaming technology instead.

Are you anticipating the future with confidence? If you want to learn more about the Anticipatory Organization, my new book is available on Amazon.com now.

Categories
Growth Leadership Personal Development Technology

Is Training Putting Your Company Data at Risk?

Data security has come a long way since December 2005, right? That was the month when somebody popped open a car trunk and stole a laptop that contained the records of 230,000 Ameriprise Financial customers.  Suddenly, data security became a big concern, executives heard the word “firewall” for the first time, and companies scrambled to protect themselves.

But how much has computer security really improved? You have to wonder. Only a few years ago, the records of 74,000 current and former Coca-Cola employees were compromised when laptops were stolen from company headquarters in Atlanta.

That’s really bad. But the most pressing question is, how secure is your company data? And because we are a training company, we need to ask . . .

Are your training platforms exposing your company to attacks from hackers?

It’s a troubling question, especially if you deliver training to employees in multiple locations:

Your trainees are logging onto Wi-Fi in Starbucks and other public places across the country. Does that expose you to risk?

You’ve got a powerful new distributed system that lets employees do their training on their smartphones. But is that safe? What if one of your trainees loses a phone? Does that put your company data at risk?

You maintain stringent security in company headquarters, but what’s going on in your regional offices? Can you be sure that laptops and workstations are secure? Remember the hard lesson that Coke learned when company laptops were lifted in Atlanta.

Proactive Steps to Take

It’s reassuring to know there are ways to make sure remote laptops, tablets and phones do not give hackers access to your company data. Here are some defenses to keep in mind:

Remember, the cloud can be a great defense. When your training materials reside in the cloud – in effect, on servers that are maintained by your training company, not by you in house – it is virtually impossible for hackers to use them as entry-points to get into your company’s servers or company records. And if your training modules are organized in separate “silos” so that trainees can access only one training area at a time, you have even more security.

Be sure that trainees are using two-step encrypted passwords to log into your system. “Two-step” means that each trainee must enter two individual credentials to start training – such as a username and a strong password that passes muster. “Encrypted” means that the username and password are “scrambled” so they cannot easily be copied over Wi-Fi or by remote hackers. Also, let trainees know that they are required to log off as soon as they complete different training units. That prevents phone thieves from stealing phones and having easy access to your training materials.

Make sure robust security protocols are being followed in all company locations. You know your company and its structure better than we do, so you know the obstacles you might be facing in this area.  To make sure that protocols are followed, you might have to deliver regular security training to divisional or regional supervisors. You might also need to have your training director take on the role of security officer by making sure that company security directives are being followed.

Prevention Is Better than Fixing a Breach

One certain thing is that it is much better to take preemptive steps to protect your security than it is to repair the damage after a breach has taken place. When selecting a training development company for distributed training, the best course is to choose one with the expertise to build security defense into your plans from day one.

About Evan Hackel

Evan Hackel is CEO of Tortal Training, a leading training development company, and principal and founder of Ingage Consulting. He is the host of Training Unleashed podcast, and author of the book Ingaging Leadership. Evan speaks on Seeking Excellence, Better Together, Ingaging Leadership, and Attitude is Everything. To hire Evan as a speaker, visit evanhackelspeaks.com and follow Evan on Twitter @ehackel.

Categories
Best Practices Economics Entrepreneurship Industries Marketing Personal Development Sales Technology

How Technology Changed the Billion-Dollar Ad Game

The advertising industry has had a long and successful history. It has been a very big business, especially for brands like Procter & Gamble, which topped AdAge.com’s list of the world’s five largest advertisers with $10.5 billion in advertising spending.

For decades, the personal care company kept its products front and center in the minds of consumers – on TV, in print and eventually online. The formula was simple: P&G would spend a huge amount on advertising and loyal customers would respond by buying its products.

That is no longer the case. Technology has changed the ad game for P&G – and not in a good way.

Brief Timeline of Advertising Game-Changers

So if your company is like P&G, what should you do? Start with a fresh look at how much technology and advertising have changed over the last 30 years.

As you look at this timeline, pay attention to how technology worked for – or against – advertisers throughout recent history. Then, use my Hard Trends Methodology to predict what’s next.

1990s – Hundreds of cable channels and the Internet launched, and advertisers jumped to buy space wherever their audiences would be.

Early 2000s – TiVo was one of the first disruptors to these seemingly endless advertising avenues. For the first time, consumers had power over when they got their content and began to skip the ads.

2001 – Next came iPods, which could play downloaded media while consumers were on the go.

2004 – Amazon.com launched as a virtual bookstore and began laying the groundwork for online retailers

2006 – Social media pioneer Facebook opened the News Feed, in which anybody – and any brand – could self-publish content. Facebook ads, for which advertisers once again had to “pay to play,” wouldn’t come until later.

2007 – Netflix went from DVD to streaming and never looked back. Consumers could now also choose what to watch, whenever they wanted to.

Also in 2007 – Smartphones came on the scene, allowing consumers to carry all types of media in their hands. The ad industry had to go mobile – often in addition to going traditional. Though it wasn’t easy to navigate at first, by 2015 mobile ad spending would top $28 billion.

2008 – Spotify started running on advertising dollars initially, but also offered premium, ad-free packages to consumers at nominal prices.

2009 – In the late 2000s, YouTube began allowing pre-roll ads; advertisers were once again able to recapture a very captive audience.

2012 – Facebook purchased Instagram. It would be five years before the $1 billion gamble would pay off, but in the meantime, real people became the faces of brands. The newest media-buying currency was the influence of the crafty, hip or carpool moms who had become spokespeople.

2015 – Amazon.com hit a milestone as it accounted for at least half of all e-commerce growth. Many experts attributed sales success to the debut of the company’s one-click ordering.

2018 and beyond – Not only is data-driven advertising becoming more popular, it’s expected in today’s “show me you know me” consumer culture.

If you use my Hard Trends Methodology to look ahead to the future of advertising, you’ll be able to anticipate that the next decade will move even faster. Even more devices are likely to be developed, and they will ultimately be connected to each other as an integral part of our lives.

Now is the time to learn to anticipate the next wave of technology. Start with my book, The Anticipatory Organization, which is fittingly available with one-click ordering on Amazon.com right now.

Categories
Best Practices Culture Economics Entrepreneurship Industries Leadership Marketing Personal Development Technology

To See the Future, Think Both/And

Whenever a new game-changing technology is introduced, our instinct is to assume that the current technology we are using will quickly become obsolete and will vanish from our use.

History has shown that the hottest new breakthrough technologies do not necessarily replace older ones. Instead, they often coexist side by side because the old technology has its own unique profile of functional strengths that the new technology never fully replaces.

How many times have you greeted a new innovation with an either/or assumption? Either you use the old or the new. But this is not an either/or world we live in; it’s a both/and world. It’s a world that is both paper and paperless, online and in-person, old media and new media.

Yes, No or Some of Both

In my latest book, The Anticipatory Organization: Turn Disruption and Change into Opportunity and Advantage, I teach readers how to gain a major competitive edge by learning to accurately anticipate the future. This is a skill that can be learned, and in this blog I’ll share one of the principles I have used for decades to accurately predict the future of technological change, one that you will be able to apply in countless ways: the Both/And Principle.

First, a bit of history. In the early 1980s, I developed the Both/And Principle and started applying it with great success. Here are some examples that will help you to see how to use it yourself.

Either/Or Assumption #1:

The introduction of digital documents meant that we would all be 100% paperless in a few years.

For example, in the late 1980s, when CD-ROMs were introduced, industry experts, the press and futurists predicted that by the mid-1990s, offices would be completely paperless. At the time I applied the Both/And Principle and predicted that we would have increasing amounts of both digital documents as well as paper documents in the future. It’s now 2018 and we are still managing both paper and digital documents.

Why is paper still around? Paper is inexpensive, portable and can be folded and tucked in a pocket or purse. It is an inexpensive display medium that does not need power. In addition, a handwritten paper note of gratitude to an employee is far better than sending a text or an email.  So instead of asking “How can I eliminate all paper?” a better question I had my clients ask was, “What is the best use for paper and the best use for digital?”

Either/Or Assumption #2:

E-commerce will render brick-and-mortar retail stores completely obsolete.

In the mid-1990s, around the time that Netscape, Yahoo!, eBay and many other Web-based businesses started rapidly growing, many futurists and the media predicted that bookstores, auto dealerships, shopping malls and retail stores in general would soon be obsolete.

The logic was that a physical store can only hold a few hundred or several thousand items while a virtual store gives you access to millions of items or titles 24/7.

So why do retail stores continue to survive and why are many even thriving? The answer is that physical shopping is experiential, not just transactional. Brick-and-mortar stores and malls that have continued to elevate the customer experience are social gathering places that create a sense of community, which technology can’t fully replace. In addition, many products are difficult to buy without physically seeing them and trying them out. Others require a knowledgeable person to help you make a decision. Why did Apple open an Apple Store? If you have been there, you know why. Why is Amazon opening brick-and-mortar bookstores? Now you know why.

Either/Or Assumption #3:

Smartphones will replace laptops.

Not that long ago, business publications were having a debate about the future of computing. They asked the question, “With our smartphones and tablets becoming our main personal computers, won’t this make laptops obsolete?” The answer is still “no.”

The reality is, we still have the equivalent of mainframe computers, we just use them differently than 20 – or even five – years ago. If they have a smartphone and/or tablet, the majority of business users are already using their laptop differently, and perhaps much less, but they are still using both.

Introducing Both/And Thinking

While others were predicting the end of laptop computers, printed paper and retail stores, I did not fall into the trap of those bad predictions because I had developed a series of research-based guiding principles that would help avoid such mistakes, and the Both/And Principle is a major one.

The premise is simple: Your technology works well for you, but you discover a new app, gadget or process that could significantly transform your business. You don’t want to part with what’s been working for you, but you also don’t want to be left behind.

The Both/And Principle allows you to keep bridging your legacy systems with the new technology or processes. Integrating them in a way that will create higher value than either has by itself provides a pathway forward.

It is a powerful corrective measure to either/or thinking, meaning that the future will only be either one way or the other. The Both/And Principle recognizes the folly of assuming that the “new” will totally supplant the old, and it recognizes that they can be integrated. Once you try it, you will see the Both/And Principle can accelerate your team’s performance because you haven’t settled for one or the other.

Powerful Both/And Duos

Digital documents have powerful strengths; they are here to stay, but so is paper. Here is a short list of Both/And Principle examples:

  • Brick-and-mortar retailers and Internet retailers
  • Digital and analog
  • Paper mail and email
  • Nautical charts and GPS
  • Full service and self service
  • Wiring such as copper and  fiber-optics and wireless
  • Traditional media and digital media
  • Gasoline engines and electric motors
  • Digital music playlists and live concerts
  • Video conferencing and face-to-face meetings

A key success strategy is to integrate the old and the new based on the strengths of each. In fact, the hottest breakthrough technologies tend to coexist and integrate to create new value with their predecessors rather than completely co-opting them. Why? The old technology has its own unique profile of functional strengths.

Case Study: Amazon.com and Kohl’s

In August 2017, Kohl’s announced it would sell Amazon products in its retail stores. But that was just the beginning of this Both/And Principle business maneuver. Kohl’s department stores and Amazon.com have been piloting a retail model that even more perfectly demonstrates an integration of the old and new.

Since September 2017, the two have been running a pilot program in which Amazon.com purchasers who want to return an item can return it to a Kohl’s customer service desk. Customers who bought a product online can now skip the post office and instead return it to an ever-increasing number of Kohl’s stores.

Consumers enjoy the convenience, and according to a number of recent studies, total visits to Kohl’s stores with Amazon’s return program have outperformed other stores in sales by about 8.5%. In other words, customers returning items end up finding more to buy at Kohl’s. Kohl’s also reported an increase in new customers.

Both/And Thinking and You

What are some examples of Both/And thinking that could benefit you? Are there any new technologies that would give you amazing new capabilities that could become something you feel your business could not live without? What are some of the newest technologies that you believe will disrupt and transform your business? What would happen if you combined the old and the new in a way that creates higher value than either has on its own?

If you would like to learn more anticipatory skills so that you can turn disruptive change into your biggest advantage, read my latest book, The Anticipatory Organization: Turn Disruption and Change into Opportunity and Advantage

Click here for a special offer from Daniel Burrus

Categories
Best Practices Economics Entrepreneurship Management Marketing Personal Development Technology

Tesla is Redefining the Customer Experience

One of the harsh realities of this fast-paced digital world is that almost everything we buy is out of date by the time we get it home. To obtain the most value of any purchase, especially if it is an expensive one, we need to adopt a future mind-set to help us avoid picking up legacy products.

Driving has long been considered a symbol of personal freedom — an open road going forward, with almost limitless possibilities and opportunities on the horizon. For this reason alone, car manufacturers like to add new features that make us feel like we are purchasing a car that is equipped to transport us into the future.

I recently found myself wanting to replace my hybrid SUV. I have been very happy with my Lexus, but before buying, I wanted to see what the other major brands — including BMW, Mercedes, Porsche and Cadillac, to name a few — had to offer, to see which was most suited to me and my lifestyle. As you might guess, since I have been forecasting semi-autonomous as well as fully autonomous car features for decades now, I was interested to see what they had to offer at this point in time.

As you would expect, all of the high-end vehicles had great features, including automatic braking and various systems to alert you if you are about to change lanes and hit another car that is in your blind spot. However, it was when I drove the Tesla Model X that I felt like I was driving in the future. After that test drive, my view of the other brands was changed. All the others instantly felt like the past.

From a customer experience perspective, that’s a powerful shift. Any time you can make the competition seem like they are offering yesterday’s features and functions, and you are offering tomorrow’s, you can accelerate growth well into the future.

Buying a car has always been both a left-brain and a right-brain experience. On one hand, we would love to buy that just-out-of-reach dream car, the one that our emotional, creative side would love to have. On the other hand, our rational, logical, sensible mind wants the car to be safe, economical and not too expensive. Tesla has found a way to do both.

The realization that the Tesla is already offering a wealth of future-oriented features — features that can save lives, features you know we will all have someday — has the power to change how potential customers think.

Tesla, like Amazon, is what I call an Anticipatory Organization, one that identifies the Hard Trends that will happen and then uses that knowledge to turn disruption and change into its biggest advantage.

With all of this in mind, where would the greatest young engineering talent want to work? Ford, General Motors or Tesla? I suspect that Tesla would attract the talent because it is showcasing the future, today.

Rather than sitting around waiting to be disrupted, maybe it’s time to jump on board and disrupt both yourself and your industry, to become the disrupter. We often talk about legacy software and hardware holding businesses back, but the reality is that legacy thinking is far more damaging.

If your company wants to attract the most talented employees as well as the imaginations of future customers, you need to follow Hard Trends and learn to become anticipatory rather than getting better at reacting.

When I returned to the showroom a few weeks ago, it quickly became apparent that Tesla is a prime example of an Anticipatory Organization. The majority of competitors within the automotive industry are still taking incremental steps rather than exponential leaps. The majority have embraced the idea of agility as the best way to turn rapid change into an advantage. The problem they are finding is that all organizations are becoming agile organizations, which greatly decreases the advantage of agility and, more importantly, the main advantage of agility is that you can be far better than your slower competitors. Being agile is very important and we all should get better at it, but it is no longer enough.

It’s true that there is more uncertainty today than ever before. On the flipside of this coin is the science of certainty, learning to separate the Hard Trends that will happen from the Soft Trends that might happen. As the exponential pace of technological change continues, having the ability to foresee growing problems, disruptions, customer demands and new opportunities has never been more important.

Technology now surrounds us. The rapid rise of the internet of things (IoT) in our cities, businesses, infrastructure and even our homes will also raise the bar of both our expectations and demands. As our world continues to evolve, why would the automotive industry remain the same? Why would a dealership stay the same as it always has been? Why would I want to buy a new car that has only a few more new features than the car I’m driving now?

Having a business strategy based on certainty has low risk. Leaders now have a choice to anticipate today, before their competitors do, or find themselves left behind in the slow lane. What are you going to do?

Why deploy customer surveys when technology allows you to collect real-time user experiences? Learn to how an Anticipatory Organization saves money in R&D, marketing and other steps along the way.

Order Daniel Burrus’ book today!

Categories
Economics Growth Industries Personal Development Technology

Will Your City Be a Smart City Soon?

Despite the apparent trade-off between privacy and efficiency, authorities across the globe are intent on becoming known for achieving smart city status and for the right reasons. Politicians are seeing the real benefits and cost savings that smart city initiatives can provide, and as citizens we need to get used to the idea of our towns collecting and making use of more and more data to reshape the world around us for the greater good.

As the number of connected sensors, machines and devices rapidly grows in crowded cities, the data generated will provide the ubiquitous big data that we often hear about. But we are only just beginning to realize the value in a network that increasingly consists of everyday objects. Everything from buildings, energy, traffic flow, education, healthcare and even elevators contains information that represents both the daily grind and natural flow of every city.

This increasing volume of data that is generated every second of every day should and will be put to great use in the months and years ahead. Now that we have fully embraced the concept of smart devices with our phones, and we are beginning to experience it in our cars and homes, it’s only natural that we now look to make our cities much smarter too.

Although we are slowly obtaining a greater understanding of the data that surrounds us, the good news is that positive results are already happening. Authorities are faced with a double-edged sword in which almost every choice comes with a compromise. For example, video surveillance in high crime areas has proven to reduce crime rates from 5% to 20%, but as a society, are we willing to reduce crime by introducing cameras watching our every move? This is the kind of trade-off we will have to face if we want to dramatically lower crime rates.

The traffic in every major city across the world is probably our biggest concern, given we have all experienced gridlock. Once again, technology comes to the rescue. Traffic signal optimization has shown to reduce travel times by up to 20%.  And let’s not forget the joy of trying to find a place to park. The average person spends 18 minutes per day trying to find a place to park. Smart parking systems can reduce up to 30% of congestion without authorities even needing to build new lanes and roads.

There is already a wealth of statistics available now that major technology research in cities has revealed the scope of the cost savings. For example, 40% of municipal energy costs comes from street lighting. Intelligent lighting can reduce energy costs by up to 20%. Lansing, Michigan, put in smart street lighting and was able to reduce costs by 70%, a big win for the mayor who championed the initiative.

As a word of caution, it appears that we are still very naive when it comes to security and our responsibility in this digital age. With so much of our lives and infrastructure getting connected, we all need to step up our game and appreciate the implications of ignoring security warnings.

For example, a recent report revealed how vulnerable our hospitals are to cyber-attacks and hackers. Maybe it’s our self-awareness that is in need of a 21st-century upgrade. In years past, 18 USB sticks were dropped purposely on multiple floors of a hospital. Within 24 hours, one of them had been plugged into a nurse’s station, infecting the network with malware, which gave the hackers access to the entire network.

With the majority of public-serving institutions at risk from hackers intent on causing chaos and disruption, it’s more important than ever to re-evaluate your level of security and threat prevention. Threats can appear in many different forms, such as ransomware that will lock all files and demand payment to unlock your data. The only positive aspect of ransomware is that it informs the user instantly of an infection.

However, there is also much stealthier malicious software that can be secretly stealing data or compromising systems completely under the radar of the establishment. Eliminating these risks by upgrading old systems is key, but so is educating users about understanding the vulnerabilities in the workplace and how to prevent them.

The creation of closed systems with hardware-embedded security will make it easier to predict and prevent cybercrime. Crime will continue to be a risk, but new advanced intelligent systems can help predict an attack and prevent it before it happens.

These security challenges should not damage the level of excitement and energy around the future possibilities. In this digital transition, we are merely taking another brave step forward, and there is no doubting how cash-strapped local and state agencies can become more efficient by better using data and implementing new technology.

Many large companies are involved in making cities smart, including Cisco, IBM, and Siemens. Cisco will happily advise governments that a smart city can save energy by 20%, reduce water consumption by 50%, crime by 20%, traffic by 30%, and so on. These facts, backed up by data, will be tough for those in control of budgets to resist.

Businesses, local and state agencies, committees, etc., will always be cost and data driven. Our evolving digital economy will ensure that smart cities, IoT, and local services will all become a natural part of our lives. Yes, there will be security and even privacy challenges, but this is a hard trend that will happen, so the time to start solving predictable problems is before they happen.

Many of our fears of a technology-fueled dystopian future are based on fictional literature and Hollywood movies. But we seldom stop to think that our future reality could be quite different from 1984 or the rise of machines that the Terminator franchise warned us about.

Real life is not always as interesting as art. The implementation of computerized sensors for nearly everything we know and love to drive down costs and improve efficiency could be as exciting as it gets. Is it such a bad thing?

Eliminating waste, intelligent traffic management and vast improvements to public transport during peak periods are mouthwatering prospects on their own. The belated arrival of e-government services, allowing faster access at a lower operating expense for taxpayers, should also be enough to convince even the biggest cynics.

I don’t believe this is an either-or situation. Technology should be able to improve every aspect of our lives in our homes, cities and world. We now interact with each other more than ever before, not less—contrary to popular opinion. The rise of the global community is enabling a greater understanding that shapes our world view and challenges age-old stereotypes.

As citizens of a global community, we expect our smartphones to provide us answers to any questions as they pop into our heads. We have developed an insatiable thirst for real-time information. Reliability and simplicity are expected to be standard, meaning this is how cities will soon be judged by both their inhabitants and visitors.

We now connect and interact in many different ways, which illustrates how technology is bringing us closer together. The real spirit and character that live inside every city across the world do not need to be sacrificed and will continue to thrive as long as we work to keep the best of our past and present, as we build a better future together.

Concentrating on resisting change or fearing the unknown is counterproductive. I have advised major businesses and governments for decades that the best way to improve planning is by learning to separate hard trends, the trends that will happen, from soft trends, the trends that might happen, and use this knowledge to shape the best future possible.

Innovation leads to disruption, not being disrupted. Learn more with the book, Anticipatory Organization, now available for purchase at www.TheAOBook.com
Categories
Best Practices Growth Human Resources Leadership Skills Technology

How Gamification Can Alter Our Behavior

During this unique period of technology-driven transformation, the education sector has so far been slow to embrace the power of digital tools that can be used to accelerate learning. Spending time, energy and money protecting and defending conventional teaching methods only postpones the inevitable and keeps the transformative power of digital disruption, when used wisely, from taking training and education to a new level of success.  

The problem is that whether it’s a child in a classroom or an adult in a corporate training environment, the young and old have one thing in common. Our attention span is now officially lower than a goldfish now that external stimulation from digital, social and mobile access has reshaped our world.

Recent studies have shown that the average smartphone user checks their phone over 100 times a day. Checking any one of our four to five screens for emails, messages and notifications every few minutes is finally starting to take its toll on our ability to focus on a task at hand. This is forcing a dramatic rethink of how we can help people of all ages learn, comprehend and retain the knowledge they need to take their lives and careers to the next level. In a world littered with distractions, it seems that providing a dynamic, immersive, engaging and social experience is the key to accelerating learning.

One powerful way to accelerate learning for both business and education is to add gaming elements (gamification) to teaching and learning. Why gaming? When you play a game, you are not alone; there is a social element combined with a competitive element that forces you to both engage and concentrate, and that is a powerful combination if you want a student to learn something. It is also a way to make education and training fun as well as creating a personalized experience.

In the past I have written many articles about implementing gamification elements into learning, especially for younger students who grew up playing video games. In this article, I want to take a look at how gaming can be applied in a simple way to both change behavior and achieve goals—in this case, the success organizations are getting from the use of a simple wearable, the Fitbit activity tracker.

On its own, wearing a wristband that counts your daily steps is relatively simplistic, and some would even say uninspiring. But, when it comes to technology, it’s not the tool, it’s how we use it. In this case, by setting up internal contests within organizations that are not only competitive but also have prizes, in some cases as simple as virtual badges for walking a certain amount of miles a week, seems to create positive and healthy behavior changes. One large organization is currently having a competition for its employees to climb Mt. Everest in the steps they take and track their progress with their company-provided Fitbit. There is a virtual map that shows where each employee is along the journey. A major health benefit is that employees are losing weight, lowering their cholesterol levels, and some are getting off their medications to lower their blood sugar levels.  

I have also run across a few organizations that have taken this a step further by allowing employees to add friends to a leaderboard, and once again it’s all about snatching glory by rising to the top on a cold dark Wednesday evening that is helping both Fitbit and its users lose weight and achieve their performance targets.

Most of us are naturally competitive and can’t resist comparing ourselves to others. When a company hosts a walking competition and measures their employees’ performance and progress with a wearable activity tracker, it’s usually the “who will finish at the top of the leaderboard” aspect that typically captures the imagination of everyone involved.

The success of Fitbit alone is a testament to how this simple form of gamification has become very big business. Being assigned goals and then being rewarded for achieving them with a virtual badge or small prize illustrates how even this simplified principle can produce fantastic results in changing behavior. There is even an argument based on some early research that indicates momentary gratification from screen-based media can increase our visual-spatial intelligence.

Over the years we have been told that television and even calculators would make us stupid, so we shouldn’t be too surprised to see many pointing the finger of blame at technology again. It’s true that for many low-level jobs, employees no longer need to know how to add or subtract, much less multiply and divide, not to mention reading a map. Our smartphone can deliver answers almost before we even think about the question. In reality, technology is not stopping us from thinking, but it is changing the way in which we look for, process and retain information.

We might not want to admit it, but thriving on instant gratification and frequent rewards has almost become a way of life. As we drift from screen to screen on up to five devices, we shouldn’t be too surprised to learn how we increasingly need to visualize content to digest fully or comprehend subject matter.

I often hear people even likening their work experiences to that of a video game. Many find parallels with gaming characters by learning and mastering skills so they can “level up” in life just as they would in a video game. If these unconventional methods can engage audiences but also teach persistence and resilience, is that such a bad thing?

In this fast-paced digital world, classrooms often run the risk of feeling uninspired, dull and dare I say boring to students of any age. Engaging with users to provide a fun, personalized learning experience that is also interactive, game-like and competitive is the secret recipe to capturing our attention.

Gamification is often misunderstood or seen as either too complex to implement or just another gimmick. But these examples of using a simple form of gamification to accomplish a goal illustrates that it is possible to start small and learn to walk before you run. The next time you’re in a meeting, take a quick look around the room and notice how many already have wearable tech attached to their wrists as they discuss achieving fitness goals and even winning company competitions.

It is estimated that 13 million wearable activity tracking devices will be integrated into employee wellness programs by the end of 2018, and most will involve a competition to get increased engagement. Has your organization created a competition to achieve a group or individual goal by using a wearable like a Fitbit or Apple Watch yet?

Categories
Health and Wellness Marketing Technology

AI Automates Tasks, Not Jobs

I keep reading scare-mongering over how AI is going to make everyone unemployed. Some others say that it will give us a life of leisure. Maybe we should all stop to realize that both are saying the same thing–we are just learning who are optimists vs. pessimists.

But both of these points of view gloss over the real truth–AI doesn’t eliminate very many jobs completely. Yes, if self-driving cars come to pass, Uber drivers and truck drivers are at risk. But no matter how much automation is applied to Quickbooks, we will still need accountants–they just might not be entering and analyzing the transactions anymore.

AI, in general, automates tasks, not whole jobs.

The reason for that is that what we have today is called Narrow AI–it can be better than humans at discrete tasks, such as chess or Go or Jeopardy. It can make predictions within small spheres. But we are nowhere near General AI, where the judgement of a human across many spheres is possible. Humans need to be guiding all automation, especially AI, for the foreseeable future. So, while there will be some jobs that get largely automated away, we will likely still need humans to do parts of those jobs and there will likely be new jobs created we don’t even dream of yet.

In 1790, 90% of the US workforce were farmers. 200 years later, in 1990, less than three percent remained on the farm, yet we didn’t experience 87% unemployment. And that doesn’t even take into account the massive growth in population or the major expansion in the workforce as women joined.

We found other things to do.

No one knows what will happen in our AI future, but you can expect that it won’t be as bad as people fear nor as great as they expect. After all, if I had told you 20 years ago that you would willingly carry around a device 24×7 that allows your boss to call you any time of the day or night and know that you could be reached, you’d have labeled me a nutjob.

But we all carry our cell phones religiously and would fight to keep them if pressed. So, we are often better at seeing the downside of new technology than the upside and we should imagine that AI will probably turn out the same way.