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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.

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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
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