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Tag: Disruption

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Beyond Bitcoin: The Future of Blockchain Technology

Bitcoins were introduced in 2009 to great fanfare. Although there had been predecessors, Bitcoins were framed as the first form of cyber currency.

Shortly after Bitcoins were introduced, I labeled them a Soft Trend—one whose future was looking good, but not a future certainty. I also labeled cyber currency a Hard Trend that would continue to grow, predicting that there would be many more cyber currencies.

Since then, I’ve seen no need to change either designation, as there are now more than 100 different cyber currencies. At the same time, as Bitcoins struggled to gain widespread use, blockchain—the technology Bitcoin transactions are handled with—were growing.

Unlike bitcoins, blockchain development has shown no signs of slowing down and represents a Hard Trend that will continue to grow. The rapidly evolving technology of blockchain holds enormous promise for game-changing disruption across any number of industries and fields.

O’Reilly Media presciently noted in early 2015: “The blockchain is the new database—get ready to rewrite everything.”

Blockchain Explained—Security in Numbers

A blockchain is a system of decentralized transaction records. This means a transaction is created without any input from a controlling entity. A blockchain also employs cryptography to keep exchanges secure, incorporating a decentralized database, or “digital ledger,” of transactions that everyone on the network can see. This network is a chain of computers, needing exchange approval before it can be verified and recorded.

The Game-Changing Opportunity in Financial Transactions

Roughly $20 billion in gross domestic product is currently held in blockchain form, according to a study by the World Economic Forum’s Global Agenda Council. However, projections show blockchain use will increase significantly in the next decade as banks, insurers and technology firms embrace the technology to boost transaction speed and security, and trim expenses. This is already taking place, for example, with Swiss banking giant UBS and banks such as HSBC, Santander, and BBVA, which launched corporate venture funds to make equity investments in financial technology companies.

More Than Just Money

The future of blockchain is exciting. Outside of its use solely in financial transaction applications, it can transform several other industries. Other examples include:

  •      Data Storage—Current storage services using cloud technology are centralized around a single provider. A blockchain lets users store data and information via a decentralized platform, improving security and lessening reliance on any one provider.

 

  •      Voting—A blockchain voting network is inherently more reliable than paper or electronic ballots since changing one vote would require changing multiple votes simultaneously. A blockchain voting network has already been used—Denmark’s Liberal Alliance employed a blockchain for internal voting back in 2014.
  •      Military Use—The U.S. Department of Defense and NATO are actively investigating the use of blockchain. Among other applications, they’re interested in messaging platforms capable of transferring information by way of a secure decentralized protocol.
  •      The War on Terrorism—In May 2015, the Isle of Man implemented the first government-run blockchain project, leveraging it to create a registry of digital-currency companies operating on the island. The system also counters money laundering, helping prevent terrorist financing since the flow of money can be traced specifically to the source of the transaction.
  •      “Smart” Contracts—The idea behind a smart contract is that it self-manages the fulfillment of the agreement and is verified programmatically via the blockchain instead of a third party. Two or more parties agree on terms, program those terms into the blockchain, and allow for payments and other transactions once those terms are fulfilled and validated by the blockchain.
  •      Regulation—Because a blockchain cannot be changed without a majority of participants agreeing to do so, the underlying technology might be used in place of a variety of regulations, such as those mandated by Know Your Customer (KYC).
  •      Identity Management—Labeled the first comprehensive blockchain-based identity service, Onename allows users to create tamper-proof digital identities for themselves called Passcards that replace conventional usernames and passwords.
  •      The Music Industry—In October 2015, Ujo Music unveiled a working example of how blockchain-based technology would allow consumers to purchase registered works directly. We can also pre-solve the problem of legalities, where artists publish policies on how their music may be used to avoid legal action against misuse.

More Reasons for Excitement

Blockchain use is largely restricted to private forms of transactions, but when looked at in an anticipatory way of thinking, blockchain could be used for anything that requires proof of identification, the exchange of goods or verification of contract terms.

One executive involved in the development of blockchain summarized its potential in a framework we can all appreciate: “‘Check it on the blockchain’ will be the phrase of the twenty-first century. It will be as commonplace as people saying ‘Google that.’”

When it comes to blockchain, get ready to rewrite everything.

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The Risks of Sticking with Legacy Technology

Legacy technology is like that old pair of jeans you wore as a teenager. “They are comfortable” was always your answer to any inquiry.

Move that anecdote onto a larger stage and you have a fairly accurate picture of why many organizations hold on to legacy technology—tools that are long outdated: comfort.

In a world of exponential change, legacy technology is trouble. Continuing to use outdated technology of all sorts is costly beyond the financial spectrum.

Legacy Technology Defined

A definition of legacy technology describes the term as “an old method, technology, computer system or application program, of, relating to, or being a previous or outdated computer system.”

This particular definition frames legacy technology in a negative light. There’s no getting around the fact that legacy technology is pervasive.  

In more recent news, several organizations have experienced setbacks from legacy technology:

  • Last year, Data Breaches compromised 15.1M patient records with 503 incidents.
  • In late 2016, British bank Tesco shut down online banking in early November after 40,000 accounts were compromised, half by hackers for fraudulent purposes. Andrew Tschonev, a technical specialist at security firm Darktrace, stated: “With attackers targeting everyone and anyone, today’s businesses cannot safely assume that it won’t happen to them.”
  • In July 2016, Southwest Airlines canceled 2,300 flights when a router failed, delaying hundreds of thousands of passengers. The same issue grounded 451 Delta Air Lines flights weeks later.
  • In November 2015, Orly Airport in Paris was forced to ground planes for several hours when the airport’s weather data management system crashed. The system was Windows 3.1.

Bad PR? Yes, but Much More Than That

Reputations are important, and high-profile incidents like these don’t create great headlines. But the reasons to move on from legacy technology stretch further:

Data breaches. As Tesco discovered, legacy technology is open to cybercrime. Vendor support is often nonexistent, which limits valuable upgrades. Furthering security risks, advantages of improvements in security measures are not easily accessible for old systems.

Expensive functionality. Revamping outdated technology can be an expensive proposition, but running outdated technology increases operating costs also. Old hardware versions lack modern power-saving technology and the systems’ maintenance is expensive.

Compliance penalties. Depending on your industry, legacy technology may not be in compliance. In the medical industry, outdated software will fail to meet compliance standards, such as the Health Insurance Portability and Accountability Act (HIPAA), resulting in severe financial penalties.

Customer loss. No matter the industry, offering outdated solutions and ideas derived from equally outdated technology will prompt customers to look elsewhere for better answers.

Unreliability. Many organizations hold on to legacy systems in the belief that the systems still work. If that’s not the case, consider what happens when something goes wrong, as seen in the detrimental examples above.

Perception issues. Leaders need to be aware of the message they’re sending to their employees. Consider how a younger employee who’s comfortable with technology might react to coping with the limitations of legacy technology. Aside from lost productivity, they may consider a new employer more willing to invest in current infrastructures.

“No” Can Be More Costly Than “Yes”

Replacing legacy technology is not entirely devoid of downsides, the most obvious being cost. Other deterrents include legacy replacement projects failing or the time and cost involved in system testing and end-user retraining.

But the question remains: Are you and your organization comfortable with the old, or are you identifying the Hard Trends that are shaping the future and embracing the new? Are you anticipating the need to invest and upgrade before a tragedy occurs? There’s not one organization in the examples provided that doesn’t wish to go back and pre-solve the problems of outdated systems.

Before making any decisions, assess both Hard Trends and Soft Trends that affect your organization and industry. Consider the positive and negative impacts that replacing legacy systems may carry both internally and externally. Be certain that every element for the new system serves a well-defined business goal, now and in the future.

As I emphasize in my Anticipatory Organization Learning System, saying yes can be expensive, but saying no could be catastrophic.

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Smart Construction: How AI and Machine Learning Will Change the Construction Industry

These days, seemingly everyone is applying Artificial Intelligence (AI) and machine learning. I have written about disruptions in the manufacturing industry, such as Industry 4.0, while illustrating the Hard Trends that indicate where improvements will be made in the future.

The construction industry, which makes up 7% of the global workforce, should already have applied these technologies to improve productivity and revolutionize the industry. However, it has actually progressed quite slowly.

Growth in the construction industry has only been 1% over a few decades while manufacturing is growing at a rate of 3.6%. With the total worker output in construction at a standstill, it is no surprise that the areas where machine learning and AI could improve such statistics were minimal. Yet, those technologies are finally starting to emerge in the industry.

Artificial Intelligence (AI) is when a computer mimics specific attributes of human cognitive function, while machine learning gives the computer the ability to learn from data, as opposed to being specifically programmed by a human. Here are ten ways that AI and machine learning will transform the construction and engineering industries into what we’ll call “smart construction.”

  1. Cost Overrun Prevention and Improvement

Even efficient construction teams are plagued by cost overruns on larger-scale projects. AI can utilize machine learning to better schedule realistic timelines from the start, learning from data such as project or contract type, and implement elements of real-time training in order to enhance skills and improve team leadership.

  1. Generative Design for Better Design

When a building is constructed, the sequence of architectural, engineering, mechanical, electrical, and plumbing tasks must be accounted for in order to prevent these specific teams from stepping out of sequence or clashing. Generative design is accomplished through a process called “building information modeling.” Construction companies can utilize generative design to plot out alternative designs and processes, preventing rework.

  1. Risk Mitigation

The construction process involves risk, including quality and safety risks. AI machine learning programs process large amounts of data, including the size of the project, to identify the size of each risk and help the project team pay closer attention to bigger risk factors.

  1. More Productive Project Planning

A recent startup utilized 3D scanning, AI and neural networks to scan a project site and determine the progress of specific sub-projects in order to prevent late and over-budget work. This approach allowed management to jump in and solve problems before they got out of control. Similarly, “reinforcement learning” (machine learning based on trial and error) can help to collate small issues and improve the preparation phase of project planning.

  1. More Productive Job Sites

Professionals often fear machines will replace them. While intelligent machines will take over first repetitive and eventually more cognitively complex positions, this does not mean a lack of jobs for people. Instead, workers will transition to new, more fulfilling and highly productive roles to save time and stay on budget, and AI will monitor human productivity on job sites to provide real-time guidance on improving each operation.

  1. Safety First

Manual labor not only has the potential to be taxing on the body, but also to be incredibly dangerous. Presently, a general contractor is developing an algorithm that analyzes safety hazards seen in imagery taken from a job site, making it possible to hold safety briefings to eliminate elevated danger and improve overall safety on construction sites.

  1. Addressing Job Shortages

AI and machine learning have the capacity to plot out accurate distribution of labor and machinery across different job sites, again preventing budget overruns. One evaluation might reveal where a construction site has adequate coverage while another reveals where it is short staffed, thereby allowing for an efficient and cost-effective repositioning of workers.

  1. Remote Construction

When structures can be partially assembled off-site and then completed on-site, construction goes faster. The concept of using advanced robots and AI to accomplish this remote assembly is new. Assembly line production of something like a wall can be completed while the human workforce focuses on the finish work.

  1. Construction Sites as Data Sources

The data gathered from construction sites and the digital lessons learned by AI and advanced machines are all tools for improving the productivity of the next project. In this way, each construction site can contribute to a virtual textbook of information helpful to the entire industry.

  1. The Finishing Touches

Structures are always settling and shifting slightly. It would be beneficial to be able to dive back into data collated by a computer to track in real time the changes and potential problems faced by a structure — and AI and machine learning make this possible.

Given the inevitable changes on the horizon, and the potential for costs to drop up to 20% or more with increased productivity, professionals in the construction industry must pay attention to Hard Trends, become more anticipatory, and ultimately learn to turn disruption and change into opportunity and advantage.

Know What’s Next

Discover proven strategies to accelerate innovation with my latest book The Anticipatory Organization. Follow this link for a special offer.

Shape the Future–Before Someone Else Does It For You!

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Augmented Reality Defined with Opportunities

Several years ago, I started using an augmented reality (AR) app for my smartphone whenever I ventured into the mountains. It was quite useful; I could point my device at any mountain to see information overlaid on the image. When I moved my device around, the information changed to correspond with what I saw.

Google Glass was an early example of AR glasses. However, the Three Digital Accelerators(computing power, digital storage, and bandwidth) I first identified in 1983 as the drivers of predictable exponential change were not advanced enough when this product emerged, and miniaturization of components had not reached the level needed to make the glasses look like regular glasses.

While few consumers tried them, Google Glass opened the eyes of entrepreneurs to see future possibilities. Surgeons used Google Glass to watch a patient’s vitals without taking their eyes off the surgical area, warehouse workers used them to locate products needing boxing, and universities used them to enhance student engagement in science lab classes.

The Future of AR

Now that the Three Digital Accelerators have improved enough to enhance smart glasses, consumer use will increase. Imagine walking down a busy street in New York City searching for the perfect slice of pizza. It would benefit you to be wearing AR glasses that can quickly scan the area for a highly recommended restaurant per consumer reviews. Wearing the technology rather than having your eyes divert to your phone is faster and safer.

I envision that the earpiece of your AR glasses will act as a rheostat, allowing you to fade the information in or out. As a keynote speaker, wearing a pair of AR glasses that allow me to see the names of audience members would be helpful, and by adjusting the fade control, turning off the information as needed will be helpful. This does not exist – yet. One of the principles I teach is “If it can be done, it will be done, and if you don’t do it, someone else will.”

It’s clear that practical uses for AR are ripe with opportunity. After acquiring smart glasses lens manufacturer Akonia Holographics in August 2018, Apple has been working on AR products. This positions the company to positively disrupt the industry, along with Microsoft and Facebook, which are working on AR glasses of their own.

Outside the US, Chinese technology giant Huawei is creating its own version of smart glasses. Its latest device, the Mate 20 Pro smartphone, already utilizes augmented reality apps predominately, but the company suggests that AR glasses are definitely in the works.

The company will bring more AR experiences to the Mate 20 Pro so its customers can use AR more widely before releasing its smart glasses. By better perfecting the user experience, they are pre-solving predictable problems, following one of my core principles.

Outside of AR, Huawei is a serious player in consumer electronics. It recently displaced Apple as being the world’s second-largest smartphone maker, expanded its digital products and even ventured into the world of smart speakers.

In comparison with virtual reality (VR), AR is developing faster for several reasons.

1)   VR requires the user to be cut off from the real world in order to be fully immersed in a virtual world, while AR allows the user to see the real world simultaneously.

2)   VR requires time-intensive graphics programming in order to create a photo-realistic 3D world, limiting the ability to attract the talent needed to grow as fast as AR.

3)   VR headsets are cumbersome compared to AR glasses.

Augmented reality represents a new platform for launching game-changing products and services. If you want to profit from this fast-growing industry, focus on being anticipatory by identifying the Hard Trends that are shaping the future and their related opportunities to lead change.

If you would like to learn how to become more anticipatory in the new world of augmented reality, be sure to pick up my latest book The Anticipatory Organization today!

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Embracing the Power of Blockchain Technology

During the digital transformation, we have witnessed traditional forms of physical media fall out of favor as users abandoned their treasure trove of CDs, DVDs, books, magazines, and even photo albums to partake in an entirely clutter-free life. Digitally optimizing our lives has enabled us to remove shelves, cabinets and dust magnets while we get our entertainment fix from the likes of Netflix, Spotify and the endless list of streaming alternatives.

We often forget just how much technology has changed our lives in the last few years. Therefore, it should be no surprise that our love of cold hard cash could be the next twentieth-century casualty to fall by the wayside.

Over in Europe, Denmark and its Scandinavian neighbors Norway and Sweden are leading a charge toward a cashless society that will see the end of tooth fairy payments for children but will equally wave goodbye to a world of money laundering, fraud, and tax evasion. The bonus of replacing scrambling around for loose change for a purchase, or riding public transportation with contactless payment by swiping a card or smartphone, is incredibly appealing for most users.

The concept of handing over a handful of silver coins in exchange for any product or service can feel quite primitive in our modern world dominated by technology. However, contactless and smartphone payments are not the end-all, be-all payment options, as there is another game changer in the form of cyber currency. But does this technology disruptor have the power to transform our traditional banking system?

Blockchain is the digital ledger software code that powers Bitcoin. As this system has grown in popularity, the CEO of Digital Asset Holdings, Blythe Masters, has her sights set on changing the way banks trade loans and bonds in a way that could dramatically change the way we look at both business and banking. Blythe delivered a massive wake-up call to finance leaders when she compared the influx of changes to the arrival of the internet when she advised, “You should be taking this technology as seriously as you should have been taking the development of the internet in the 1990s. It’s analogous to email for money.” The speed in which technology trends can go viral illustrates how an internet of finance could become a reality sooner rather than later.

The interesting aspect of Bitcoin is the ability to buy and sell without the need for an intermediary. This represents a paradigm shift in the management and structure of the financial services industry. However, adopting innovation and changing entire ecosystems is not something that the notoriously cautious financial industry and affiliated regulation committees are famed for.

Because this technology has the potential to reduce the role banks play in the lives of individuals, it is understandable why financial institutions are skeptical. However, these developments cannot be written off just yet. They could save consumers and the financial industry billions of dollars while also removing their reliance on middlemen to offer a speedier, modern and more efficient banking experience.

The ultimate goal is to move payments globally much faster while simultaneously becoming more transparent and lowering costs. We will likely begin to witness early adopters making waves in the private market before the ever-cautious big players speak of standardization and implementation. However, there are already a few of them dipping their toes into the water.

According to the PwC, there are already over three hundred technology startups developing ideas that will allow blockchain to revolutionize the financial industry. Big players like Visa and Nasdaq are already investing heavily into a blockchain startup, and there are also plans to modernize the London Market. Lloyds is looking to blockchain technology to improve its data access and reduce costs associated with administrative paperwork.

There are daily stories of heavyweights within the financial industry becoming increasingly eager to capture the tamper-proof benefits offered by a future web-based cryptocurrency. Technology leaders such as Microsoft also have thrown their hats into the ring to demonstrate the possibilities that blockchain technology can offer.

There is exciting potential to completely revolutionize the way in which the finance industry works. But in its infancy, many will continue to exercise great caution before rushing into a shiny electronic cash system that is fully peer-to-peer. The future of cash and pockets full of loose change is indeed looking numbered, as many wonder if in just a few years we will be looking back at our quaint primitive payment methods in the same way many do with physical media now.

Cryptocurrencies that thrive in a transparent environment might seem like a foreign concept today, but the rise of blockchain technology is one Hard Trend that will quickly prove to be impossible to ignore.

Finance trends can be anticipated – when you know how to look. The Anticipatory Organization Model has the power to shift an organization’s operating mindset from the default of reacting and responding to changes coming from the outside in, to a place of empowerment by anticipating and shaping the future from the inside out.

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Solve Problems and Innovate as an Anticipatory Leader™

Anticipatory Leaders™ understand that we are at a unique point in human history, filled with waves of disruption and opportunity. We are doing things today that were impossible just a few years ago. If you look at the Hard Trends that are shaping the future, you can easily see that we will be doing things two years from now that are impossible today. That means the old rule, The Big Eat the Small, is being replaced by a new rule, The Fast Eat the Slow. They know this new reality is driven by the exponentially increasing rate of technology-driven change. Many wonder why so many established organizations of all sizes are moving so slow. The answer is simple: they think they are moving fast. But in this new era, they’re actually moving slower than they realize.

Young professionals are aware their organization’s pace is too slow as their mindset is less historical. They have looked around and seen others outside of their industry moving much faster. The best and the brightest of the younger employees often see the older leaders in their organization as almost fearful of making a bold move.

Anticipatory Leaders leverage the complementary strengths and weaknesses of all generations to enable the organization to move forward faster. They combine the wisdom and experience of the older employees with the out-of-the-box thinking and awareness of new technology that the younger employees have to accelerate innovation and growth. They use the confidence that comes from the certainty of Hard Trends to jump ahead quickly with low risk. They know that not moving faster and bolder is the bigger risk and that if they don’t take advantage of new technological capabilities, someone else will!

Here is a big insight that Anticipatory Leaders know: trying to keep up in today’s world will only keep you behind. The reality is that the company you are trying to keep up with is not standing still. It is most likely ahead because it is anticipatory and moving far faster, keeping a good distance ahead of you. It embraces the fact that in a world of exponential change, the advantage comes from jumping ahead of the change curve with the confidence that comes from high levels of certainty, and not relying on reacting quickly after the disruption or problem happens.

When we think of innovation today, we tend to think of the big innovations that disrupt industries or create a new product or service line. This type of innovation doesn’t happen very often in traditional organizations and often has long time frames from ideation to implementation. In addition, only a small percentage of all employees will be involved in the process. Anticipatory Leaders go beyond reactive innovation, even fast, reactive, agile innovation, and empower employees with two new types of anticipatory innovation: Everyday Innovation and Transformational Innovation.

Everyday Innovation empowers all employees to implement inventive solutions to everyday problems by providing easy-to-use methods for rapid problem-solving. This includes applying Problem Skipping and the Law of Opposites, as well as keeping their opportunity antenna up to look for potential problems to pre-solve before they happen. It’s amazing how innovative people can be when they know a few basic principles and are empowered to take positive action immediately.

Transformational Innovation involves identifying the Hard Trends that are shaping the future and using them to become a positive disruptor, jumping ahead with the low risk that comes from certainty and the knowledge that if you don’t do it, someone else will.

If you would like to go beyond agility and become an Anticipatory Leader, pick up a copy of my latest bestseller, The Anticipatory Organization: Turn Disruption and Change Into Opportunity and Advantage, and consider our online Anticipatory Leader System.

 

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Don’t Miss AR’s Amazing Opportunities

Augmented reality (AR) is a new industry growing at an exponential rate, loaded with opportunities for job creation. It offers a playground for entrepreneurs who want to use the certainty of Hard Trends to their advantage.

What’s most exciting about AR is that it is much easier to develop than virtual reality (VR), which requires a lot of programming and photo-realistic graphics in order to create a fully immersive virtual world.

AR takes less time and money to develop. Data is overlaid onto a live view of something, and users can multitask, allowing them to work while simultaneously accessing important information.

Both AR and VR have a bright future, but AR represents a much more dynamic world of opportunity. For example, I use an AR app that allows me to hold my smartphone up to any mountain, and the app will tell me the height of the mountain, the length of the trails, and other useful data that can help me determine where I might want to hike, climb or bike on vacation.

AR can also engage tourists who are in a new city for the first time. When you’re on a street in New York, you can tell an app what type of shoes you’re looking for, and all you have to do is hold your smartphone up and pan around to see if any nearby stores have what you want.

Soon we’ll be wearing AR glasses that are connected via Bluetooth to an AR app that will allow keynote speakers like myself to see the people we’re talking to but also see their names, and by moving our fingers along the earpiece of the glasses, we’ll switch from no data to full data.

The Augmented Reality Job Market

We are in the beginning stages of a burgeoning AR market. I would highly recommend entering the world of AR professionally sooner than later. The wide-scale application of AR is only limited by our imaginations, and early developers in the field have barely scratched the surface of what is possible.

Given the wide range of industries that will benefit from AR, I predict that in the next few years we will see a multitude of usages, especially when AR glasses hit the market. Likewise, the glasses themselves will be more aesthetically pleasing thanks to the growth of miniaturization. Prescription AR glasses will be made available for those who need them, changing the usage dynamic from smartphone apps to wearables.

If you are considering a career in AR, it’s important to think about the ideal industry that would benefit from it, such as sales, service, maintenance and repair, factories, retail stores, and real estate offices. There’s a market for it in the trades as well, as AR glasses can be used to help people train quickly to become tradespeople to keep up with growing demand.

Within five years, we will see high-fashion AR glasses worn by many people. Data will be more frequently overlaid on our surrounding environment, and video media will be included. It is already possible to 3-D print a 4K camera that is the size of a fly’s eye, and with advances in solar charging, getting energy from ambient light will help us avoid the concern of charging AR glasses.

The Positives and the Negatives

With every new industry, there are positives and negatives. In augmented reality, the greatest positive is quite clear: increasing humankind’s ability to make better decisions faster.

However, there is always a downside that we must look to solve before it occurs. The most obvious risk is that you might be paying more attention to the data than to visual reality and walk into danger. When it comes to using digital technology, there is always time to unplug. The concept of misinformation also exists, where the data overlaying your environment could be hacked and also put you in danger. Always remember to anticipate risks and think critically.

The future is bright for augmented reality for entrepreneurs and consumers. Ultimately, the industry will develop practical uses much faster than in the world of virtual reality. Virtual reality business applications will find many great niche markets, but augmented reality can be used by anyone anywhere due to the user’s ability to multitask.

The best thing about augmented reality is that you can use it while still interacting with the real world, which is very powerful. It does not encourage us to close ourselves off from our physical existence; it allows us to see insightful information in real time. It will give us a new way to discover the hidden facts that bring the things in our world to life.

We’re only at the base of the mountain of change, and the time to start your climb upward is now!

Technology-driven change is accelerating at an exponential rate, but moving fast in the wrong direction will only get you into trouble faster! Reacting to problems and digital disruptions, no matter how agile you and your organization are, is no longer good enough. If you don’t already have a copy of my latest bestselling book The Anticipatory Organization, click here to get your copy now.

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An Anticipatory Leader™ Turns Disruption and Change into Opportunity and Advantage

An Anticipatory Leader™ understands that technology-driven change is accelerating at an exponential rate. They have learned from a large list of high-profile Fortune 100 companies that were great at both agility and execution but experienced dramatic downturns. Reacting to problems and digital disruptions, no matter how agile you and your organization are, is no longer good enough.

Anticipatory Leaders know that a high percentage of future disruptions, problems, and game-changing opportunities are predictable and represent unprecedented ways to accelerate growth and gain advantage. They understand that there is no shortage of trends or good ideas, and they ask which trends will happen and which ideas are the best to invest their time and resources in. They have overcome these challenges by becoming anticipatory. This happens by using the methodology of separating the Hard Trends that will happen because they are based on future facts from the Soft Trends that might happen because they are based on assumptions about the future. Then they apply these Hard Trend certainties to their innovation and decision-making processes, allowing them to accelerate innovation and jump ahead with low risk.

Anticipatory Leaders know that it’s better to solve predictable problems before they happen, and that predictable future problems often represent the biggest opportunities. They know that being anticipatory means creating strategic plans that are dynamic and then elevating their strategic plans to keep them relevant and stop them from becoming obsolete before they are implemented.

They have discovered the power of using the certainty of Hard Trends to give the people that report to them the confidence to make bold moves. They know that if what they are saying is seen as opinion, listeners will want another opinion, but if they speak in future facts that are undeniable future truths, there will be far less debate and much more forward progress.

They fully understand that we are at the base of a mountain of increasing disruption that does not happen just once. It comes in waves, giving every organization and professional only two options: to become the disruptor or the disrupted.

By using the Anticipatory Model and methodology to identify the disruptive Hard Trends that are approaching, they now have the opportunity to make a strategic choice to be the disruptor. They know there is no longer a middle ground.

Anticipatory Leaders know that disruption is often seen as something negative, because it happens to organizations and individuals, forcing them to react by changing quickly or face increasingly negative consequences. Disruptors, on the other hand, are creating change from the inside out, giving them far more control of their future. Disruptors are often using technology to eliminate problems or to reduce the friction that creates a less than desirable experience. I refer to them as “positive disruptors” because they tend to use technology to improve a process, product or service. They enhance the customer experience, and in most cases they transform it!

Anticipatory Leaders know the advantage  a shared Futureview® has when it is based on the Hard Trends that are shaping the future – a windshield view versus a rearview mirror view. The Futureview principle states “How you view the future shapes your actions today, and your actions today will shape your future. Your Futureview will determine the future you. ”Change your Futureview, and you will change your future.

For example, it’s clear that Sears, which is closing over a hundred physical stores, has a different Futureview than Amazon, which is opening over three thousand brick-and-mortar retail stores and over a hundred physical bookstores. These two companies’ Futureviews will shape their future.

Anticipatory Leaders elevate their organization’s shared Futureview, based on the Hard Trends and transformational changes that are shaping the future. They know that their Futureview will change, and in many cases they transform the future of the organization for the individuals involved for the better.

Become an Anticipatory Leader™

If you would like to go beyond agility and become an Anticipatory Leader, pick up a copy of my latest bestseller, The Anticipatory Organization: Turn Disruption and Change Into Opportunity and Advantage, and consider our Anticipatory Leader System today.

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Artificial Intelligence: Disruption or Opportunity?

Artificial intelligence (AI), one of twenty core technologies I identified back in 1983 as the drivers of exponential economic value creation, has worked its way into our lives. From Amazon’s Alexa and Facebook’s M to Google’s Now and Apple’s Siri, AI is always growing — so keeping a closer eye on future developments, amazing opportunities, and predictable problems is imperative.

IBM’s Watson is a good example of a fast-developing AI system. Watson is a cognitive computer that learns over time. This cognitive AI technology can process information much more like a smart human than a smart computer. IBM Watson first shot to fame back in 2011 by beating two of Jeopardy’s greatest champions on TV. Thanks to its three unique capabilities — natural language processing; hypothesis generation and evaluation; and dynamic learning — cognitive computing is being applied in an ever-growing list of fields.

Today, cognitive computing is used in a wide variety of applications, including health care, travel, and weather forecasting. When IBM acquired The Weather Company, journalists were quick to voice their amusement. However, IBM soon had the last laugh when people learned that the Weather Company’s cloud-based service could handle over 26 million inquiries every day on the organization’s website and mobile app, all while learning from the daily changes in weather and from the questions being asked. The data gleaned from the fourth most-used mobile app would whet the appetite of the permanently ravenous IBM Watson and enable IBM to increase the level of analytics for its business clients.

Weather is responsible for business losses to the tune of $500 billion a year. Pharmaceutical companies rely on accurate forecasts to predict a rise in the need for allergy medication. Farmers’ livelihoods often depend on the weather as well, not only impacting where crops can be successfully grown but also where the harvest should be sold. Consider the news that IBM followed its Weather Company purchase by snapping up Merge Healthcare Inc. for a cool $1 billion in order to integrate its imaging management platform into Watson, and the dynamic future of AI becomes more than evident.

The accounting industry can benefit from this technology, as well. When I was the keynote speaker at KPMG’s annual partner meeting, I suggested that the company consider partnering with IBM to have Watson learn all of the global accounting regulations so that they could transform their practice and gain a huge advantage. After doing their own research on the subject, the KPMG team proceeded to form an alliance with IBM’s Watson unit to develop high-tech tools for auditing, as well as for KPMG’s other lines of business.

Thanks to the cloud and the virtualization of services, no one has  to own the tools in order to have access to them, allowing even smaller firms to gain an advantage in this space. Success all comes back to us humans and how creatively we use the new tools.

IBM’s Watson, along with advanced AI and analytics from Google, Facebook, and others, will gain cognitive insights mined from the ever-growing mountains of data generated by the Internet of Things (IoT) to revolutionize every industry.

Advanced AI is promising almost limitless possibilities that will enable businesses in every field to make better decisions in far less time. But at what price? Many believe the technology will lead directly to massive job cuts throughout multiple industries. and suggest that this technology is making much of the human race redundant.

It is crucial to recognize how the technological landscape is evolving before our eyes during this digital transformation. Yes, it is true that hundreds of traditional jobs are disappearing, but it’s also important to realize the wealth of new roles and employment opportunities arriving that are needed to help us progress further.

The rise of the machines started with the elimination of repetitive tasks, such as those in the manufacturing environment, and it is now moving more into white-collar jobs. The key for us is not to react to change, but to get ahead of it by paying attention to what I call the “Hard Trends” — the facts that are shaping the future — so that we can all anticipate the problems and new opportunities ahead of us. We would do well to capitalize on the areas that computers have great difficulty understanding, including collaboration, communication, problem solving, and much more. To stay ahead of the curve, we will all need to learn new things on an ongoing basis, as well as unlearn the old ways that are now holding us back. Remember, we live in a human world where relationships are all-important.

We need to be aware of the new tools available to us, and then creatively apply them to transform the impossible into the possible. By acquiring new knowledge, developing creativity and problem-solving skills, and honing our interpersonal, social, and communication skills, we can all thrive in a world of transformational change.

Are you reacting to change or paying attention to the Hard Trend facts that are shaping the future?

If you want to anticipate the problems and opportunities ahead of you, pick up a copy of my latest book, The Anticipatory Organization.

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Will A.I. Disrupt Your Profession?

Artificial intelligence (A.I.) is a technological advance for humankind that has some people excited and others terrified of what is to come. The main concern is rooted in what A.I. will do to jobs, and how we as human beings will be affected by changes in digital and mechanical techniques.

A.I. and other new forms of autonomous machine function are in the process of transforming our personal and professional lives, and this represents a Hard Trend that will happen and a subject I’ve discussed for decades now. We are just starting to see some incredible progression in the A.I. space, giving us a chance to pre-solve problems involved in real-world applications of A.I.

But while function is one thing, the newfound transformation we’ve watched come to fruition is coming from machine learning, a subset of A.I. that enables machines to become better at tasks that were previously dependent on human intelligence. With advances in a machine’s capability to think and learn like people, it’s easier than ever to pre-program physical functions so A.I. can take over menial or mundane tasks. Take, for example, a study conducted by legal tech startup LawGeex, which challenged 20 experienced lawyers to test their skills and knowledge against an A.I.-powered system the company built.

A lawyer is not often considered replaceable by technology or artificial intelligence. In this challenge, the task was to review risks contained in five nondisclosure agreements — a simple undertaking given the group of legal professionals, which included associates and in-house lawyers from Goldman Sachs, Cisco, and Alston & Bird, as well as general counsel and sole practitioners. This lineup should easily have triumphed over an A.I.-powered algorithm, right?

Wrong.

As a matter of fact, the study revealed that the A.I. system actually matched the top-performing lawyer for accuracy, as both achieved 94%. As a group, the lawyers managed an average of 85%, with the worst performer scoring a 67%.

But what about the speed of those decisions? When reviewing the nondisclosure agreements, the A.I. system far outpaced the group, taking just 26 seconds to review all five documents, compared to the lawyers’ average speed of 92 minutes. That is a tremendous spread when compared to the near-perfect accuracy the algorithm performed at in that time! The fastest review time of a single lawyer in the group was 51 minutes — over 100 times slower than the A.I. system! And the slowest time was nearly a standstill pace, as it clocked in at 156 minutes.

While reviewing documents is just one of several parts of the job of a lawyer, this data further proves the Hard Trend that I implore everyone to pay attention to in the years to come. Artificial intelligence is here to stay, and by using machine learning and deep learning techniques, new A.I. systems are learning how to think better and better every day. So the question remains: Are you anticipating how A.I. can be used to automate tasks and do things that might seem impossible today — in other words, disrupt your industry? Are you starting to learn more about A.I. so that you can become a positive disruptor rather than become the disrupted?   

For now, according to consultants, the fact remains that 23% of legal work can be easily performed using artificial intelligence; however, there are many aspects of a lawyer’s job, the obvious example being providing an emotional and compelling closing argument in court, that are currently beyond the capabilities of algorithms. While that may be the case today, what’s next? Using methods that I discuss in my latest book, The Anticipatory Organization, you can learn how to become an anticipatory thinker and be more entrepreneurial in the ways you apply A.I. technology to your profession.

Take the example of Alexa, which is utilized in an ever-growing number of applications, from ordering groceries to playing our favorite song during dinnertime. This device, enabled by A.I., has learned our routines and how to serve us better each day by listening to us ask it questions or give it tasks to accomplish.

Netflix and Spotify media streaming services are using A.I. to learn what we like to listen to or watch, and then, using this knowledge combined with their own databases, they can quickly suggest other songs or shows we may also enjoy. Over time they increasingly learn to understand the dynamics of what we like, recognizing our patterns enough to suggest new things to us we will most likely enjoy — very much like a best friend would introduce us to a new music group.

These are just two examples of many A.I.-enabled services that have been integrated into our lives, yet it was not too long ago that applications like these would have been viewed as an impossibility. In a relatively short amount of time they have become second nature in our lives. If A.I. can quickly accomplish a lawyer’s task today, then it can also learn how to accomplish many tasks in industries once thought untouchable by automation and machine learning, such as medicine, finance and design.

As an entrepreneur, it is increasingly important to understand what A.I. can do to create  business value. A.I. is presently forecast to reach nearly $4 trillion by 2022. Reacting to this opportunity will only keep you behind and disrupted. It’s time to learn to become anticipatory leaders in our fields, solving problems before they happen, and elevating our thinking to actively shape a positive future for ourselves and others.

If you would like to learn more about how you can better anticipate transformation in the professional world and developments in artificial intelligence, then be sure to pick up my latest book, The Anticipatory Organization. Let me help you take your career to the next level and remain indispensable in an ever-changing technological frontier.