9
Enhance
Amplify Human Performance with the New Machine

It's February 2003. You're driving your car to a meeting in downtown Chicago. The traffic is terrible. You're running late. You glance down at the directions and map you've printed out from Yahoo! You know you've got to take Exit 50B from the Kennedy Expressway. You miss it. You take 51B, but then realize it goes west, not downtown. You pull into a gas station, re-check the map, and turn around on Lake Street to get back on the expressway. You miss the turn. You look at your watch: It's 8:55 AM, and the meeting's in five minutes. “I'm not going to make it; I'm going to mess up the deal; my boss is going to kill me.

It's February 2017. You're driving your car to a meeting in downtown Chicago. The traffic is terrible. You're running late. From your smartphone, Waze says, “Take North Milwaukee Avenue onto West Grand Avenue.” You've never been this way before. A moment later, Waze speaks up again: “Take North Franklin Street, then take East Ohio Street.” “OK,” you think, “if you say so.” A couple of minutes go by. “Your destination is on your left in 500 yards.” You look at your watch: It's 8:55 AM, and the meeting's in five minutes. “I'm going to make it; I'm going to close the deal; my boss is going to love me.”

Today, driving places we don't know is so easy, we hardly give it a second thought. Yet, it used to be so tough. Much marital discord, let alone missed sales, stemmed from arguments over whether it was a left or a right at a four-way stop. With smart GPS systems, whether as apps on our smartphones or embedded in our dashboards, it's far more difficult to get lost nowadays. We can now know exactly what to do, when to do it, where to go, what precisely is the next best action, thanks to the miracles of technology enhancement. As a result, many couples have had to find something else to argue about.

The GPS systems we now take for granted provide a preview of coming attractions on how the new machines are enhancing more and more aspects of our work and personal lives. Consider the following choices from your own perspective, as you seek out professionals to assist you in your personal life:

  • When ill, would you rather visit a doctor who has tracked all your digital health information, and can, before your visit, juxtapose your information against both your personal history and the exact health trends occurring in your community to make a pinpoint diagnosis? And what if the doctor could then use your time in the office to confirm the diagnosis and discuss your personal path to recovery? Or would you prefer the traditional experience, in which a primary care physician, over the course of a seven-minute visit, pokes and prods you, asks a few questions, then tries to determine your ailment without any assistance in real time, and hands you a prescription while heading out the door?
  • In choosing a lawyer, would you prefer one who uses a digital platform to ensure that all the relevant case law—across thousands of cases—has been consulted, and that the full histories of the judge and opposing lawyers are analyzed in preparation for your case? Or would you prefer a lawyer with a small team of paralegals that relies solely on their own skills and personal work experiences to map out your best legal strategy?
  • As a parent, would you be more comfortable knowing your child's teacher adjusted the learning plan every day to make sure your child was completely on track, or one who could tell you about your child's performance only every few months or so based on the results of a few standardized tests?

When it comes to our own personal choices, the answers become very clear. The vast majority of us will choose to work with the enhanced human, the one who is equipped with a sophisticated system of intelligence at their side.

Additionally, in your professional life, who will your customers prefer? The salesperson who is armed to answer every question on product and pricing, or the one who wings it with anecdotes and personality? And in today's war for talent, where will the best employees want to work—where they have the tools to do great work, or where they are still mired in relative drudgery and inefficiency?

For these reasons, we see the forces of enhancement as positive and the concerns over automation-driven job substitution as ill-considered. As we outlined in Chapter 3 (“There Will Be Blood”), the vast majority of white-collar work won't be replaced by these new machines but will be made better with them. We believe that more than 80% of teaching jobs, nursing jobs, legal jobs, and coding jobs will be made more productive, more beneficial, and more satisfying by computers—in other words, enhanced.

Stone Age, Bronze Age, Iron Age…Digital Age

The story of human evolution is, of course, in many ways the story of our tools, from the sharpened stones used by the Australopithecus garhi species in East Africa 2.5 million years ago, to the NVIDIA DIGITS™ DevBox machine used by deep-learning pioneers today. We have used tools to lift ourselves from the savannah to the Sea of Tranquility and in the process, our tools have shaped and dictated the work we do and how we do it.

Tools have always enhanced our human capability. With levers, we can lift far more than we could with our muscles alone. With pistons and gearboxes, we can move more quickly. With calculators, we can add more quickly and accurately than with our brains. With the da Vinci® Surgical System, physicians can now make incisions far less invasively.

Enhancement in the Office

Now our tools are changing again, and therefore, so is our work and our human capability. As Joseph Sirosh, corporate vice president of the Data Group at Microsoft, told us, “Pretty much every experience today is made intelligent by data.” Pointing to Microsoft's Cortana, an AI-infused digital assistant, Sirosh said, “You will ask questions of Cortana, and it will help you, and it will understand your calendar and understand your meetings. It'll help you be much more efficient. Companies will use the data they have to help their employees succeed better and have healthier lives, manage their own effectiveness at work better, and have better work environments and social structures.”

Cortana, in effect, will enhance you as a worker.

This machine intelligence, often packaged anthropomorphically with a human name—also increasingly known as a “bot” or offered simply as a nonhuman computer service—is expanding into an increasingly wider range of tasks and processes, both trivial and profound. While meeting scheduling may still have a “big brains on small things” quality to it, helping doctors diagnose chronic conditions does not.

Enhancement in the Hospital

At the Dartmouth-Hitchcock Medical Center in Lebanon, New Hampshire, Microsoft is working with a multidisciplinary team of doctors and technologists on an initiative called ImagineCare, aimed at enhancing the work of doctors and medical staff with machine intelligence. As Sirosh told us, “It turns out, a lot of chronic conditions—and events associated with chronic conditions—can actually be predicted from data. If a patient has high blood pressure, and is gaining weight, we can predict with fairly high accuracy the risk of the patient having congestive heart failure. And so, if you can predict that, you can avoid that patient being admitted to the emergency room by taking appropriate precautions, such as prescribing diuretics so that the patient doesn't accumulate water in their lungs which leads to the congestive heart failure.”

ImagineCare aims to build and expand these predictive services to enhance the work of doctoring, using the new machine and the new raw materials and allowing these machine-driven capabilities to let human competencies scale higher at levels never achievable before.

Enhanced Jobs Will Be Protected Jobs

At the heart of enhancement is the simple idea that nearly every person and job can and must be improved through technology. Every teacher must be an enhanced teacher; every banker must be an enhanced banker; every soldier must be an enhanced soldier. It's you/your job plus technology.

Of course, many of us use technology to enhance our work already quite extensively, in a pre-AI way. Take the three of us, for example. We write on computers, talk through videoconferencing machines, read on iPads, and hang out in Google. But even for people seemingly at the cutting edge of technology, there are many aspects of work only marginally touched by technology. New technology could enhance us further: Timesheets and expense reports could be automated; Cortana and Amy could automatically set up our meetings and conference calls; we could use our Alexa-enabled Echo wireless speaker to build a Prezi presentation using just a few spoken word clues: “Get an image of a modern building, and overlay on it the latest quarterly results.”1 The list could go on and on.

For those who see only the downsides of automation, the concept of a race against the machine—the phrase coined and popularized by MIT's Erik Brynjolfsson and Andrew McAfee in their book by that title—has become very powerful.2 But what many people miss is that the authors ultimately pointed out that we're actually in a race with the machine.

Technology has always given, and technology has always taken away. Automation and technological substitution of human labor are facts of life. More important, these dynamics are a good thing. More tools mean more leverage, which means more efficiency, which means more productivity. This results in more margin, which means the ability and opportunity to do higher-value work and to use higher-order skills (i.e., to grow). This is the route to protecting jobs, not destroying them.

The work of any executive or leader—indeed, of any individual—is, therefore, to identify the roles, processes, systems, and experiences that can be upgraded by newly available technologies and to imagine new approaches and constructs. For a teacher, this might mean “flipping” the school day—doing “homework” in class and doing “class work” such as listening to a lecture, at home. For a banker, this might mean being able to see the financial Code Halo of a customer and knowing instantly what he or she needs next. For a doctor, this might mean seeing the Code Halo of a patient (derived from wearable devices and preexisting medical records) before he or she enters the exam room or, even better, being able to diagnose the patient while the patient is at home. The enhanced teacher or banker or doctor will provide better service, more quickly, at a reduced price (and/or margin) and, in the process, generate all-around improvements (including job security). In this new model, teachers, bankers, and doctors will get back to what they like about their job and slough off the “administrivia” elements that drive them nuts. This is surely a win-win situation for everyone (buyer and seller alike).

These ideas are evident in the ALEKS system from McGraw-Hill Education, mentioned in passing in Chapter 1. ALEKS (Assessment and LEarning in Knowledge Spaces) is an online tutoring and assessment program that includes course material in math, chemistry, statistics, and business, aimed at creating tailored and personalized education experiences for each and every individual in a physical classroom or virtual learning environment. As New Classrooms does (discussed in Chapter 2), ALEKS enhances the job of a teacher, making the experience better for the teacher and the students.

Smart Robots Make Smarter Hands

The combination of “smart hands” and “smart robots” is becoming more visible all the time, and not only does the machine continually get smarter (as we have outlined previously in the book), but so does the human. A great example of this is buried within one of the most widely known moments of this new man/machine relationship, when world Go champion Lee Sedol competed against Google's AlphaGo AI machine.

In their 2016 match, AlphaGo made a move—Move 37—that surprised Sedol (and all the expert commentators); in fact, it was considered a mistake by the Google team. It turned out, however, to be the winning move in game two of the five-game series. In game four, Sedol made a move—Move 78—that surprised AlphaGo, because as Demis Hassabis, cofounder of DeepMind, the team behind AlphaGo, put it, “AlphaGo didn't think a human would ever play it.”3 With Move 78, Sedol won game four.

Although AlphaGo went on to win the series-deciding fifth game, Sedol reflected afterward that he wouldn't have been able to make Move 78 unless he had played against AlphaGo; it had “opened his eyes” to new ways of playing the game. Sedol had, in effect, been enhanced; he became smarter and more sophisticated through his interaction with the machine.

Using our new tools to enhance our work will help us reach the next level of human performance. And frankly, there's a lot to enhance.

Photograph depicting an ALEKS learning space.

Figure 9.1 An ALEKS Learning Space

Enhancement Is Technology in Service to the Human

One important but often overlooked aspect of enhancing work is to recognize the relationship that exists between enhancing a job/role/process and automating it. In many ways, automation and enhancement exist in a symbiotic, two-sides-of-the-same-coin way. To effectively enhance, one needs to automate. The teacher is afforded the opportunity to “flip” the classroom only if he or she automates aspects of the learning and teaching workflow. If the teacher doesn't automate the lesson, then there is no way to free up the time during the day to attend to each individual student's particular requirements. If the banker doesn't automate the creation of the customer's Code Halo, he or she will spend the whole time, which could be spent with the customer developing the relationship in a human way, collating all the information needed to build that full view of a customer. Automation is not the enemy of enhancement; it is, in fact, central to the ability to enhance in the first place.

In the next wave of competitive battle—at a commercial, societal, economic level—the winners will be those who continue to believe in the progress created by technology, those who enhance, those who understand the power of “tools” and who adapt to using them effectively.

What to Do on Monday? Partner with Systems of Intelligence

There are two major steps you can take today (whether or not it's Monday) to get the enhance ball rolling:

  1. Double-down on being more human.
  2. Build your white-collar exoskeleton.

Double-Down on Being More Human

The more technology enhances us, the more it creates the opportunity for a human touch. When the computer does what it does well, it allows us to focus more on what we do well: being empathetic, building relationships, and making sense of complex situations.

Think of the last time you went to a rental-car counter at the airport. After getting off your long and cramped flight and standing in line at the rental agency for 15 minutes, you finally get to a customer service representative. Were you met with a warm and welcoming greeting, followed by a quick yet thoughtful discussion of your plans, your car needs, your specific rental, and options? Or did the service agent acknowledge your presence with a grunt, followed by no eye-contact or conversation as he stared into his computer, entering information and clicking through menus for several minutes before producing a three-page contract in triplicate? The three of us travel a lot, so we know the answer: there's a 90% chance it was the latter.

In the case of the rental-car agent as well as thousands of similar roles and processes across all industries, we don't blame the employee; we blame the company. After all, the company hasn't armed this customer-facing associate to do his job properly—to be, well, human. Instead, he's been saddled with burdensome technology that, after eight hours a day, has bludgeoned the good humor out of him. Instead of getting to the essence of his job—of being the friendly face of the company and ensuring the happiness of a customer—he spends most of his time managing cumbersome systems layered on an archaic process.

This is just one type of situation that can be made more human with the new machine. As next-generation technology relieves this customer service agent's workload, requiring no more manual entry in a system of record, he will be liberated to provide a truly human touch.

We now see this in many sectors of retail, including:

  • Zappos, the leading shoe e-tailer, for years has been leveraging its customer-service department. While Zappos may seem like a tech-first company, it long ago recognized that when customers reached out by calling its call center, it was the company's chance to cement a customer relationship. And how far will Zappos go? One particular call lasted 10 hours and 29 minutes! The vast majority of that call wasn't about shoes at all, but the customer's interest in life in the Las Vegas area. The Zappos reaction? “Sometimes people just need to call and talk. We don't judge; we just want to help.” Oh, and yes, the customer did end up purchasing a pair of UGG boots.4
  • At Pret A Manger, a quickly growing, high-end, fast-food retail chain, the majority of the food selection in its stores is done by self-service, and the point-of-sale checkout is seamless. But the personality of Pret A Manger is not based on this combination of high-quality food sold efficiently and at a good price. The cornerstone of the customer experience is its floor staff, who are quirky, fun, and engaged. By driving efficiencies in certain parts of its operations, Pret has doubled-down on being more human, in giving customers not just quality food but also an upbeat and positive break in their busy, stressful workdays.5
  • Apple has similarly changed the game in retail by radically altering the point-of-sale experience, eliminating checkout counters, and putting automated tools in the hands of its floor staff. With all this automation, what did Apple do? The company doubled-down on more blue-shirted staff who are available to consult with customers, and provide a real sense of humanity in a company mostly selling silicon and bits.6

As shown in these examples, more enhancement actually allows for more humanity.

Where do such opportunities reside in your company? Start by looking at those customer “moments of truth.” For Zappos, it was when an online order went wrong. At Pret A Manger, it was when a busy customer simply wanted to grab a sandwich very quickly without being snarled up with other customers' more complicated orders. And for Apple, it was when one of their nontechnical customers felt overwhelmed by their powerful machines. In looking for the human touch, don't just look for moments that are easy. Instead, look to those that are hard, when you truly solve a customer problem with a sense of service and a generosity of spirit.

In an enhanced world of more pervasive technology, activities that humans do well will become even more important in 2020 than today. Analytical, communication, and learning skills as well as the ability to relate to other people have always been and will remain vital for business success. In our recent study of 2,000 global business leaders, respondents said that in the coming years, these very human traits—things we do naturally but that computers can hardly accomplish—will become even more essential in our personal and work lives and for our businesses (see Figure 9.2).

Figure depicting the areas (in percentage) for senior executives project that employees will need to improve their performance by 2020.

Figure 9.2 Beat the Bot by Being a Better Human

All of us, bosses included, need to enhance our current skills when it comes to engaging with others: leading, reasoning and interpreting, applying judgment, being creative, and applying the human touch. These behaviors and activities are still far outside the purview of current and near-future technologies and will remain so for years to come, even as the new machines become more capable.

Major companies today are proving that even in a world of enhancement solutions, where people and machines work together in new ways, there's still value in being human. Our work ahead will require us to double-down on the activities where humans have and will continue to have an advantage over silicon.

Build Your White-Collar Exoskeleton

The idea of enhancing our human capabilities with technology has been the dream of science fiction for many years. In the late 1950s, Robert Heinlein imagined teams of soldiers enhanced with armored exoskeletons in Starship Troopers. Over 30 years later in the movie Aliens, Warrant Officer Ellen Ripley used a Power Loader to defend a colonist from the Alien Queen, high above the planet LV-426 (as shown in Figure 9.3).

Photograph depicting ripley and her front loader.

Figure 9.3 Ripley and Her Front Loader

These science fiction speculations are increasingly losing their classification as fiction; now, they are becoming fact. The idea of an “exoskeleton” is, indeed, an inspiration for a number of new technologies that assist with both physical and intellectual work.

For example, Sarcos, a U.S. developer of robotics and micro-electromechanical systems, has built a prototype exoskeleton for military personnel to enhance their physical capabilities in the field. Panasonic has developed a line of exoskeletons designed to help workers lift heavy items without straining their backs.7 Ekso Bionics, a company spun out of the University of California's Robotics and Human Engineering Laboratory at Berkeley, has created the first FDA-approved exoskeleton that gives major stroke and spinal cord injury sufferers the ability to walk again.

Figure 9.4 shows Amanda Boxtel walking with the help of an Ekso Bionics exoskeleton suit. Amanda is a paraplegic, having sustained a spinal cord injury from a skiing accident more than two decades ago in 1992, and is unable to walk on her own.

Photograph depicting Amanda Boxtel with her exoskeleton.

Figure 9.4 Amanda Boxtel with Her Exoskeleton

Physical exoskeletons point the way to how we can overcome our limitations and frailties. Exoskeletons designed to enhance our minds rather than our bodies may not be as visually arresting as body suits and body armor, but they ultimately may have more impact in terms of taking human performance to the next level.

Palantir Technologies is a leader in providing exoskeletons for the brain. Founded in 2004 with funders including In-Q-Tel, the VC-arm of the U.S. Central Intelligence Agency, Palantir has traditionally worked with defense and security agencies to identify criminals and terrorists. The firm has always been about enhancement; it states, “We build products that make people better at their most important work—the kind of work you read about on the front page of the newspaper, not just the technology section.”

More recently, the firm has begun applying its expertise to commercial pursuits, such as the detection of unauthorized trading.

In conjunction with Credit Suisse, Palantir has formed a joint venture, Signac, to monitor trading activity in investment banks and identify patterns of behavior indicative of unlawful trading. Signac collects data from employees and external events and runs this information through Palantir's systems of intelligence (which also rely heavily on trained analysts to extract conclusions). The intent is to stop policy breaches and protect the bank's assets and brand.

It's now becoming apparent that humans alone, unless they are enhanced, simply can't keep up with intelligent automation systems for some tasks. An example is the field of radiology, which is ripe for enhancement.8 In fact, radiologists will soon be able to “partner” with systems such as IBM's Avicenna to improve diagnostic accuracy. The software—in another great example of a system of intelligence—is being designed to pull together massive amounts of data from the patient's family history, medical imaging, additional test results, and text notes and run it all through an AI machine that helps provide the radiologist with valuable insight.9 The average radiologist reads 20,000 films a year; given the catastrophic repercussions of missing something, the idea of being enhanced, not replaced, will offer tremendous benefits.

Whether it's education, health care, or financial services, a common theme runs across all the examples given in this chapter: finding a specific business process and applying a system of intelligence to that work in a way that creates a knowledge economy exoskeleton around skilled employees and associates. Similar to the approach we suggest for automation initiatives, you should start with activities that are high-volume and data-rich and that follow a generally recurring process (such as claims adjudication, identifying data patterns, etc.).

You + New Tools = Enhancement

We are in an incredible time, when technology is significantly extending the envelope of human capability. Systems of intelligence now allow us to do things at a level of productivity and profitability that even a few years ago would have seemed far-fetched and implausible.

All of these possibilities and many more are being created by the injection of intelligence into our tools. We have the potential to become smarter because our tools are becoming smarter. This is an important point to realize. It would be extremely arrogant to think that humans today are any smarter than Aristotle or Shakespeare—or Steve Wozniak. But our tools are. And, of course, it's our tools that are really at the heart of the progress we've made so far and the progress we'll make ahead.

Enhancement will be the force that causes the bar to rise for every one of us, in every organization and in every country in the world. If you can enhance the value you generate, you are doing the right things as machines begin to do everything. Enhancement also introduces new avenues of opportunity that we need to explore to keep ahead. Down one of these avenues, you'll soon bump into the next letter of our AHEAD model: A for abundance.

Notes

..................Content has been hidden....................

You can't read the all page of ebook, please click here login for view all page.
Reset
3.138.114.38