Category Archives: Innovation

What Top Innovators Do Differently

What Top Innovators Do Differently

GUEST POST from Greg Satell

I’ve never really liked the phrase “innovate or die.” Why not, “finance or die” or “sell or die” or even “manage or die?” Clearly every business function is essential and no organization can survive without building some competency in all of them. In an ultra-competitive business environment, you have to do more than just show up.

What makes great innovators different is that they succeed where most others fail. They not only come up with new ideas, they find ways to make them work and create value for the rest of us. Even more importantly, they are able to do it consistently, year after year, decade after decade.

Over the years, I’ve gotten to know many of these extraordinary people and they are all impressive in their own way, but what has struck me is not their differences, but what they have in common. It seems that there are some things that all great innovators share and, importantly, they are all things that we can do as well. So there is hope for the rest of us.

1. They Seek Out Problems, Not Ideas

Elance launched as a startup in 1999 to do for freelancers what Monster.com did for full-time positions — create a marketplace to match employers with talent that had the skills they were looking for. It seemed like a great idea, but it turned out to be a total bust and the company soon shifted to developing vendor management software, where it had better success.

The company sold its software business in 2006 and decided to return to the original idea, but focused on a different problem. Instead of merely making matches, it would design algorithms to make engagements more successful. This time it began to gain traction and soon saw its business grow.

The team also began to see more problems it could solve. Freelancers needed to update their skills, so it added training and certification programs. Employers needed to track freelancers internally, so it created private talent clouds. Every new problem it identified led to a new solution and more value created. Elance merged with rival oDesk in 2014 to form Upwork, and continues to thrive to this day.

I found that every great innovator I met had a similar stories. To my surprise, most didn’t have a lot of ideas and the ones they did come up with weren’t necessarily any better than anybody elses. What they did have was a passion for solving problems. Some spent years or even decades to solve a single grand challenge. That passion, it seems, is what makes all the difference.

2. They Don’t Shout Eureka!

Another thing I began to notice with the best innovators, those who came up with ideas that truly changed the world, is that when they described their moment of discovery they didn’t recall any excitement. No high-fives. No shouting to the rooftops. No alerting of the media. Nothing like that at all.

Now don’t get me wrong. I’m sure that they felt excited, but it was other thoughts that were dominant. Did they get it right? What could they do to validate their findings? Were their other explanations that could explain the data they were seeing? How could they apply these new insights to a bigger problem?

One conversation in particular I remember is with Jim Allison, who developed cancer immunotherapy. When he described his discovery to me he said he “slowly started to put the pieces together.” He didn’t seem to feel brilliant. In fact, he seemed to feel a bit foolish for not noticing where the data was so clearly leading him.

Suffice it to say, nobody else saw it either until Jim pointed it out. In fact, for three years he had to pound the pavement to get anyone to invest in his idea (and that never makes you feel particularly good about yourself). But he saw that as just another problem to be solved and, through sheer will and perseverance, he prevailed. Untold thousands are alive today because he did.

3. They Are Active Collaborators

One of the people I enjoy talking to most is Bernie Meyerson, the Chief Innovation Officer Emeritus at IBM. Bernie is not only a brilliant scientist in his own right, his position puts him at the nexus of much of the really advanced work being done in a number of fields. If something important is going on, chances are he knows about it. Besides, Bernie is a tremendous amount of fun!

He was also kind enough to write the Foreword to my book, Mapping Innovation in which he recounts how he developed the Silicon-Germanium chips that make WiFi Internet connections possible. He explained how at each stage of the development process, they needed to widen the circle to bring in new people with the expertise to take the invention to the next level.

Innovation is never a single event, but a process of discovery, engineering and transformation and those three things almost never happen in the same place. So creating anything that’s truly new and important involves a series of hand-offs. Your ability to create and manage those hand-offs will, to a large extent, determine your ability to innovate.

The truth is that, when it comes to innovation, collaboration is a key competitive advantage. The lone genius is a myth. No one ever truly creates the future by themselves.
Everyone Can Innovate (Which Means That You Can Too)

G.H. Hardy was undoubtedly one of the great mathematicians of the 20th century, but he considered his greatest discovery not a theory, but a person — Srinivasa Ramanujan, the self-taught Indian prodigy. Ramanujan had sent his theories to three great English mathematicians, but it was Hardy — and only Hardy — who was able to see the breathtaking genius beneath the almost indecipherable scrawl.

That’s not to say that Hardy was the only one capable of recognizing Ramanujan’s genius, but he was the only one who took the time to look closely at the humble correspondence of a destitute Indian amateur mathematician. It was his passion, rather than any innate ability, that led him to greatness. In concluding his memoir, Hardy wrote:

The case for my life, then, or for that of any one else who has been a mathematician in the same sense which I have been one, is this: that I have added something to knowledge, and helped others to add more; and that these somethings have a value which differs in degree only, and not in kind, from that of the creations of the great mathematicians, or of any of the other artists, great or small, who have left some kind of memorial behind them.

The truth is that seeking out problems to solve, rigorously checking your facts and actively collaborating with others who can drive an idea forward are all things that anyone can do, but most don’t. It is those things that set great innovators apart.

What makes the difference is not brilliance or even hard work. Lots of brilliant people work hard and achieve little. It is the passion to contribute something, to add not only knowledge but to the collective well being, that sets great innovators apart.

— Article courtesy of the Digital Tonto blog and previously appeared on Inc.com
— Image credits: Unsplash

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Smarter Risk Taking

Smarter Risk Taking

GUEST POST from Janet Sernack

After founding ImagineNation™ in Israel, I invested a year of my time and considerable money in taking what I thought were smart risks to invent an experiential business game. This involved collaborating with one of the top game design companies to co-create a live business simulation incorporating innovative gamification elements intending to teach corporations how to be innovative.

To my shock and surprise at the time, my invention initially failed!

Despite being an adult and experiential learning specialist and having designed and facilitated hundreds of corporate learning games for some of Australia’s top 100 companies over twenty-five years. It felt really horrible, and it was a visceral, heartbreaking, shameful and ego-destroying experience that I would not want anyone, anywhere, ever to experience.

Deep Learning Experience

Yet, it became a profound learning experience, enabling me to understand how:

  • My imposter syndrome played a significant self-sabotaging role. It did not set me up for success, nor did it set me up for maximising the importance of self-efficacy and self-mastery when on an innovation roller-coaster ride.
  • I had not undertaken sufficient research studies to determine if users wanted and were ready to accept such a radical innovation. Nor had I noticed how much the corporate learning market was being disrupted by technology, causing significant time and budget constraints, that I had neglected to address.
  • I had not paused long enough to consider, anticipate, plan and mitigate the risks involved in prototyping a viable minimal product in a new market.
  • I had not considered the risks involved with collaborating with a new consulting partner and co-facilitator, as well as with a new client. Nor anticipated how to resolve the values conflict that erupted when the project failed.
  • I had not fully understood the process involved in iterating and pivoting a new invention and the time it would take to produce a commercially viable product that the market would understand, be ready for, and respond to.

Finally, it seems that I had unconsciously fallen victim to the innovative start-up entrepreneur’s curse – falling in love with my product!

This was generated by my excitement, enthusiasm and energy of the possibilities rather than balancing these courageously and compassionately with the:

  • Harsh realities to be innovative.
  • Vital role of smart risk-taking and experimentation.
  • What ‘fails fast, to learn quickly’ really means at the heart (emotional), head (cognitive) and gut (visceral) levels.

Value of Failing Fast

They say that people need to teach what they need to learn themselves.

This valuable failure enabled me to invest the next ten years in learning to make sense of innovation and what it means to be innovative, including:

  • Helped me develop self-efficacy, trust my inner knowing and judgement, and make a stand for myself in the face of opposition and criticism I often received when presenting at a global conference on the people side of innovation, especially by process engineers.
  • Investing more attention, time in iterating and pivoting, testing and validating the two-day business simulation MVP to make it more tangible, simpler and teachable. 
  • Acknowledging that technology had accelerated sufficiently to accept that the original creative idea of a simple hybrid board game was the most valuable commercial option that could make the difference I wanted to make in the world. 
  • Becoming more patient, self-compassionate, and courageous in smart risk-taking and leading, coaching, and engaging in team innovation and continuous learning through various innovation, entrepreneurial and intrapreneurial learning initiatives.

Iterating and Pivoting

I iterated, pivoted, and refined my intellectual property by presenting and bespoking the Coach for Innovators, Leaders and Teams Certified Program™ for over twelve years to global change-makers.

Most importantly, I reined in my competitive, risky and restless saboteur and focused on doing just one thing, which has finally morphed into a book, supported by a board game to teach people how to be innovative and develop an innovation mindset.

Taking Risks

In the fog of a globalised, disrupted, unpredictable and increasingly uncertain world, no innovation can progress, and no one can be innovative without smart risk-taking.

No innovation can improve without rigorous experimentation, where learning mainly happens by doing things to explore, discover, and know what not to do.  

Research has shown that most successful new business ventures abandoned their original business strategies when implementing their initial plans, learned what would and would not work in the market, and conserved sufficient resources to have a second or third stab at getting it right.

Trial and Error and Cause and Effect

Innovation is a never-ending, risky, adaptive process involving trial and error and understanding cause and effect.

Because people are fearful of making mistakes and the negative consequences of failure, innovation requires leadership to develop both foresight and prospection skills to:

  • Empower and enable them to paradoxically take both a strategic and systemic perspective and a human-centred approach. 
  • Equip them to be innovative when designing business ventures and transformation initiatives that deliver commercially viable outcomes to successfully improve the quality of people’s lives that are appreciated and cherished.

Risk-taking is a Choice

In most businesses and organizations, innovation involves taking considerable risks, especially if seeking to enter a new market with a new product. It is compounded and resisted by many people in organizations because they are too focused on personal survival, personal gain, short-term gain and shareholder return.

Unfortunately, many organizations end up, paradoxically, undermining their organization’s capacity to be innovative, adapt, innovate and grow. Mainly due to their people being disengaged, resistant to change, lacking agency and being held back by bureaucracy and hierarchy that is averse to smart risk-taking and experimentation.

The Future is Permissionless

Because most people generally do not have permission, and are not allowed to make mistakes. They are not encouraged to try new things, so they become risk-averse, avoidant, oppositional and conventional, and don’t feel safe in deviating from the accepted way of doing things.

This is commonly known as the ‘status quo’ and drives people to comply with ‘what is’ (even when it no longer matters) and not apply their human ingenuity, be innovative and create new inventions from ‘what could be’ possible and through smart risk-taking to partner with AI in delivering innovative solutions in a disruptive world of complexity and unknowns.

Image Credit: Unsplash

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Are You Pursuing Efficiency at the Expense of Effectiveness?

Are You Pursuing Efficiency at the Expense of Effectiveness?

GUEST POST from Mike Shipulski

Efficiency is a simple measurement – output divided by resources needed to achieve it. How much did you get done and how many people did you need to do it? What was the return on the investment? How much money did you make relative to how much you had to invest? We have efficiency measurements for just about everything. We are an efficiency-based society.

It’s easy to create a metric for efficiency. Figure out the output you can measure and divide it by the resources you think you used to achieve it. While a metric like this is easy to calculate, it likely won’t provide a good answer to what we think is the only question worth asking– how do we increase efficiency?

Problem 1. The resources you think are used to produce the output aren’t the only resources you used to generate the output. There are many resources that contributed to the output that you did not measure. And not only that, you don’t know how much those resources actually cost. You can try the tricky trick of fully burdened cost, where the labor rate is loaded with an overhead percentage. But that’s, well, nothing more than an artifact of a contrived accounting system. You can do some other stuff like calculate the opportunity cost of deploying those resources on other projects. I’m not sure what that will get you, but it won’t get you the actual cost of achieving the output you think you achieved.

Problem 2. We don’t measure what’s important or meaningful. We measure what’s easy to measure. And that’s a big problem because you end up beating yourself about the head and shoulders trying to improve something that is easy to measure but not all that meaningful. The biggest problem here is local optimization. You want something easy to measure so you cull out a small fraction of a larger process and increase the output of that small part of the process. The thing is, your customer doesn’t care about the efficiency of that small piece of that process. And, improving that small piece likely doesn’t do anything for the output of the total process. If more products aren’t leaving the factory, you didn’t do anything.

Problem 3. Productivity isn’t all that important. What’s important is effectiveness. If you are highly efficient at the wrong thing, you may be efficient, but you’re also ineffective. If you launch a product in a highly efficient way and no one buys it, your efficiency numbers may be off the charts, but your effectiveness numbers are in the toilet.

We have very few metrics on effectiveness. But here are some questions a good effectiveness metric should help you answer.

  • Did we work on the right projects?
  • Did we make good decisions?
  • Did we put the right people on the projects?
  • Did we do what we said we’d do?
  • After the project, is the team excited to do a follow-on project?
  • Did our customers benefit from our work?
  • Do our partners want to work with us again?
  • Did we set ourselves up to do our work better next time?
  • Did we grow our young talent?
  • Did we have fun?
  • Do more people like to work at our company?
  • Have we developed more trust-based relationships over the last year?
  • Have we been more transparent with our workforce this year?

If I had a choice between efficiency and effectiveness, I’d choose effectiveness.

Image credit: Unsplash

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Top 10 American Innovations of All Time

A Fourth of July Celebration

Top 10 American Innovations of All Time

GUEST POST from Art Inteligencia

As we gather to celebrate the Fourth of July, our nation’s Independence Day, we not only rejoice in the freedoms and values that define America but also reflect on the incredible ingenuity that has propelled our country forward. From the light bulb to the Internet, American innovations have played a key role in shaping the modern world. In honor of this patriotic occasion, let’s take a moment to celebrate the Top 10 American Innovations of All Time — milestones that exemplify the pioneering spirit and relentless pursuit of progress that define our great nation.

1. The Internet

Arguably the most transformative innovation of the 20th century, the Internet was born out of American ingenuity during the late 1960s under projects like ARPANET. It has revolutionized communication, commerce, entertainment, and access to information. It is the backbone of the digital age, making our world more connected than ever before. As we celebrate our independence, it’s particularly fitting to honor the Internet, a creation that has democratized information and connectivity globally. The Internet has transformed how we communicate, learn, and do business. It’s a tool that fosters freedom of expression and connects us all, embodying the spirit of liberty we cherish.

2. The Light Bulb

When Thomas Edison perfected the incandescent light bulb in 1879, it marked a new era in human history. The ability to illuminate spaces effectively and efficiently extended the day’s productivity, paving the way for the modern lifestyle and countless subsequent innovations. Much like the fireworks that light up our skies on the Fourth of July, Edison’s innovation illuminated the path to a new era of progress and possibility.

3. The Airplane

The Wright brothers’ first successful flight in 1903 epitomizes American daring and inventiveness, with the first controlled, sustained flight of a powered aircraft. Their breakthrough not only shrank the world in terms of travel time but also laid the foundation for an entire industry that employs millions and generates trillions of dollars globally. Their achievement made the skies accessible, bringing people closer together and making global travel a reality. Just as the Fourth of July celebrates freedom of movement and the pursuit of happiness, the airplane opened new horizons for all.

4. Personal Computer

While computing concepts had been around for years, it was American pioneers like Steve Jobs and Bill Gates who brought the personal computer into homes and offices worldwide. The launch of the Apple Macintosh and the widespread adoption of Microsoft Windows revolutionized how we work, create, and communicate. The Fourth of July is a reminder of our nation’s innovative spirit, and the personal computer is a testament to what we can achieve through curiosity, creativity, and determination.

5. Smartphone

Apple’s introduction of the iPhone in 2007 was a watershed moment in technology. This little device, combining a phone, a music player, a camera, and a portable computer, has since evolved to influence every aspect of modern life—changing how we interact, access information, and entertain ourselves. As we celebrate our nation’s independence, we can take pride in knowing that one of the most transformative tools for communication and freedom of information was born from American ingenuity.

6. Internet Protocol Suite (TCP/IP)

Developed by Vint Cerf and Bob Kahn in the 1970s, TCP/IP is the fundamental framework for the Internet. This set of communication protocols enables the interconnection of diverse networks, making the global Internet possible. Without it, the complex web of networks we rely on would not function. Just as the Declaration of Independence established the principles of our nation, TCP/IP set the standards for global communication, making the World Wide Web an integral part of our daily lives.

7. The Assembly Line

Introduced by Henry Ford in 1913, the assembly line revolutionized manufacturing. By drastically cutting production times and costs, it enabled the mass production and democratization of consumer goods. This innovation not only transformed industries but also played a crucial role in shaping modern economies. As we celebrate the Fourth of July, we honor this innovation that embodies the American ideals of efficiency, ingenuity, and the drive to make life better for all.

8. The Cotton Gin

Invented by Eli Whitney in 1793, the cotton gin revolutionized the agricultural industry by efficiently separating cotton fibers from seeds. This innovation catalyzed the cotton industry, leading to significant economic growth, particularly in the American South. This Fourth of July, we recognize this pivotal innovation that showcased American problem-solving skills and led to transformative economic growth.

9. GPS Technology

Initially developed by the U.S. Department of Defense, the Global Positioning System (GPS) has since been made available for civilian use and has transformed navigation and location-based services. Whether for cars, smartphones, or even precision agriculture, GPS has become an indispensable tool in modern society. On this Independence Day, we salute this innovation that highlights our nation’s commitment to technological advancement and safety.

10. CRISPR-Cas9

This innovative gene-editing technology, developed by Jennifer Doudna and Emmanuelle Charpentier, has revolutionized genetic engineering. Although it’s a collaborative global effort, American research and institutions played a significant role in developing and refining this breakthrough. CRISPR-Cas9 holds promise for treating genetic disorders, improving crop resilience, and more. This Fourth of July, we honor this innovation that holds the promise to cure diseases, improve agriculture, and inspire future generations of American scientists.

Conclusion

As fireworks illuminate the sky this Fourth of July, let’s celebrate not only our nation’s independence but also the remarkable innovations that reflect the American spirit of discovery and progress. These top ten innovations, each a beacon of ingenuity and determination, continue to shape our world and the future.

May we draw inspiration from these milestones as we cherish our freedom and commit to fostering a culture of innovation that will drive our nation forward for generations to come.

Happy Fourth of July!

Image credit: Unsplash

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Is Disruption About to Claim a New Victim?

Kodak. Blockbuster. Google?

GUEST POST from Robyn Bolton

You know the stories.  Kodak developed a digital camera in the 1970s, but its images weren’t as good as film images, so it ended the project.  Decades later, that decision ended Kodak.  Blockbuster was given the chance to buy Netflix but declined due to its paltry library of titles (and the absence of late fees).  A few years later, that decision led to Blockbuster’s decline and demise.  Now, in the age of AI, disruption may be about to claim another victim – Google.

A very brief history of Google’s AI efforts

In 2017, Google Research invented Transformer, a neural network architecture that could be trained to read sentences and paragraphs, pay attention to how the words relate to each other, and predict the words that would come next. 

In 2020, Google developed LaMDA, or Language Model for Dialogue Applications, using Transformer-based models trained on dialogue and able to chat. 

Three years later, Google began developing its own conversational AI using its LaMDA system. The only wrinkle is that OpenAI launched ChatGPT in November 2022. 

Now to The Financial Times for the current state of things

“In early 2023, months after the launch of OpenAI’s groundbreaking ChatGPT, Google was gearing up to launch its competitor to the model that underpinned the chatbot.

.

The search company had been testing generative AI software internally for several months by then.  But as the company rallied its resources, multiple competing models emerged from different divisions within Google, vying for internal attention.”

That last sentence is worrying.  Competition in the early days of innovation can be great because it pushes people to think differently, ask tough questions, and take risks. But, eventually, one solution should emerge as superior to the others so you can focus your scarce resources on refining, launching, and scaling it. Multiple models “vying for internal attention” so close to launch indicate that something isn’t right and about to go very wrong.

“None was considered good enough to launch as the singular competitor to OpenAI’s model, known as ChatGPT-4.  The company was forced to postpone its plans while it tried to sort through the scramble of research projects.  Meanwhile, it pushed out a chatbot, Bard, that was widely viewed to be far less sophisticated than ChatGPT.”

Nothing signals the threat of disruption more than “good enough.”  If Google, like most incumbent companies, defined “good enough” as “better than the best thing out there,” then it’s no surprise that they wouldn’t want to launch anything. 

What’s weird is that instead of launching one of the “not good enough” models, they launched Bard, an obviously inferior product. Either the other models were terrible (or non-functional), or different people were making different decisions to achieve different definitions of success.  Neither is a good sign.

When Google’s finished product, Gemini, was finally ready nearly a year later, it came with flaws in image generation that CEO Sundar Pichai called ‘completely unacceptable’ – a let-down for what was meant to be a demonstration of Google’s lead in a key new technology.”

“A let-down” is an understatement.  You don’t have to be first.  You don’t have to be the best.  But you also shouldn’t embarrass yourself.  And you definitely shouldn’t launch things that are “completely unacceptable.”

What happens next?

Disruption takes a long time and doesn’t always mean death.  Blackberry still exists, and integrated steel mills, one of Clayton Christensen’s original examples of disruption, still operate.

AI, LLMs, and LaMDAs are still in their infancy, so it’s too early to declare a winner.  Market creation and consumer behavior change take time, and Google certainly has the knowledge and resources to stage a comeback.

Except that that knowledge may be their undoing.  Companies aren’t disrupted because their executives are idiots. They’re disrupted because their executives focus on extending existing technologies and business models to better serve their best customers with higher-profit offerings.  In fact, Professor Christensen often warned that one of the first signs of disruption was a year of record profits.

In 2021, Google posted a profit of $76.033 billion. An 88.81% increase from the previous year.

2022 and 2023 profits have both been lower.

Image credit: Unsplash

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Top 10 Human-Centered Change & Innovation Articles of June 2024

Top 10 Human-Centered Change & Innovation Articles of June 2024Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are June’s ten most popular innovation posts:

  1. The Surprising Downside of Collaboration in Problem-Solving — by Robyn Bolton
  2. Designing Organizational Change and Transformation — by Stefan Lindegaard
  3. Four Principles of Successful Digital Transformation — by Greg Satell
  4. Managers Make the Difference – Four Common Mistakes Managers Make — by David Burkus
  5. Learning to Innovate — by Janet Sernack
  6. Think Outside Which Box? — by Howard Tiersky
  7. Innovation the Amazon Way — by Greg Satell
  8. Irrelevant Innovation — by John Bessant
  9. Nike Should Stop Blaming Working from Home for Their Innovation Struggles — by Robyn Bolton
  10. Time is a Flat Circle – Jamie Dimon’s Comments on AI Just Proved It — by Robyn Bolton

BONUS – Here are five more strong articles published in May that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last four years:

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Humans Wanted for the Decade’s Biggest Innovation Challenges

Humans Wanted for the Decade's Biggest Innovation Challenges

GUEST POST from Greg Satell

Every era is defined by the problems it tackles. At the beginning of the 20th century, harnessing the power of internal combustion and electricity shaped society. In the 1960s there was the space race. Since the turn of this century, we’ve learned how to decode the human genome and make machines intelligent.

None of these were achieved by one person or even one organization. In the case of electricity, Faraday and Maxwell established key principles in the early and mid 1800s. Edison, Westinghouse and Tesla came up with the first applications later in that century. Scores of people made contributions for decades after that.

The challenges we face today will be fundamentally different because they won’t be solved by humans alone, but through complex human-machine interactions. That will require a new division of labor in which the highest level skills won’t be things like the ability to retain information or manipulate numbers, but to connect and collaborate with other humans.

Making New Computing Architectures Useful

Technology over the past century has been driven by a long succession of digital devices. First vacuum tubes, then transistors and finally microchips transformed electrical power into something approaching an intelligent control system for machines. That has been the key to the electronic and digital eras.

Yet today that smooth procession is coming to an end. Microchips are hitting their theoretical limits and will need to be replaced by new computing paradigms such as quantum computing and neuromorphic chips. The new technologies will not be digital, but will work fundamentally different than what we’re used to.

They will also have fundamentally different capabilities and will be applied in very different ways. Quantum computing, for example, will be able to simulate physical systems, which may revolutionize sciences like chemistry, materials research and biology. Neuromorphic chips may be thousands of times more energy efficient than conventional chips, opening up new possibilities for edge computing and intelligent materials.

There is still a lot of work to be done to make these technologies useful. To be commercially viable, not only do important applications need to be identified, but much like with classical computers, an entire generation of professionals will need to learn how to use them. That, in truth, may be the most significant hurdle.

Ethics For AI And Genomics

Artificial intelligence, once the stuff of science fiction, has become an everyday technology. We speak into our devices as a matter of course and expect to get back coherent answers. In the near future, we will see autonomous cars and other vehicles regularly deliver products and eventually become an integral part of our transportation system.

This opens up a significant number of ethical dilemmas. If given a choice to protect a passenger or a pedestrian, which should be encoded into the software of a autonomous car? Who gets to decide which factors are encoded into systems that make decisions about our education, whether we get hired or if we go to jail? How will these systems be trained? We all worry about who’s educating our kids, but who’s teaching our algorithms?

Powerful genomics techniques like CRISPR open up further ethical dilemmas. What are the guidelines for editing human genes? What are the risks of a mutation inserted in one species jumping to another? Should we revive extinct species, Jurassic Park style? What are the potential consequences?

What’s striking about the moral and ethical issues of both artificial intelligence and genomics is that they have no precedent, save for science fiction. We are in totally uncharted territory. Nevertheless, it is imperative that we develop a consensus about what principles should be applied, in what contexts and for what purpose.

Closing A Perpetual Skills Gap

Education used to be something that you underwent in preparation for your “real life.” Afterwards, you put away the schoolbooks and got down to work, raised a family and never really looked back. Even today, Pew Research reports that nearly one in four adults in the US did not read a single book last year.

Today technology is making many things we learned obsolete. In fact, a study at Oxford estimated that nearly half of the jobs that exist today will be automated in the next 20 years. That doesn’t mean that there won’t be jobs for humans to do, in fact we are in the midst of an acute labor shortage, especially in manufacturing, where automation is most pervasive.

Yet just as advanced technologies are eliminating the need for skills, they are also increasingly able to help us learn new ones. A number of companies are using virtual reality to train workers and finding that it can boost learning efficiency by as much as 40%. IBM, with the Rensselaer Polytechnic Institute, has recently unveiled a system that help you learn a new language like Mandarin. This video shows how it works.

Perhaps the most important challenge is a shift in mindset. We need to treat education as a lifelong need that extends long past childhood. If we only retrain workers once their industry has become obsolete and they’ve lost their jobs, then we are needlessly squandering human potential, not to mention courting an abundance of misery.

Shifting Value To Humans

The industrial revolution replaced the physical labor of humans with that of machines. The result was often mind-numbing labor in factories. Yet further automation opened up new opportunities for knowledge workers who could design ways to boost the productivity of both humans and machines.

Today, we’re seeing a similar shift from cognitive to social skills. Go into a highly automated Apple Store, to take just one example, and you don’t see a futuristic robot dystopia, but a small army of smiling attendants on hand to help you. The future of technology always seems to be more human.

In much the same way, when I talk to companies implementing advanced technologies like artificial intelligence or cloud computing, the one thing I constantly hear is that the human element is often the most important. Unless you can shift your employees to higher level tasks, you miss out on many of the most important benefits

What’s important to consider is that when a task is automated, it is also democratized and value shifts to another place. So, for example, e-commerce devalues the processing of transactions, but increases the value of things like customer service, expertise and resolving problems with orders, which is why we see all those smiling faces when we walk into an Apple Store.

That’s what we often forget about innovation. It’s essentially a very human endeavor and, to measure as true progress, humans always need to be at the center.

— Article courtesy of the Digital Tonto blog and previously appeared on Inc.com
— Image credits: Pixabay

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How Eavesdropping Can Unlocked Exponential Growth

How Eavesdropping Can Unlocked Exponential Growth

GUEST POST from Robyn Bolton

It’s easy to get caught up in the hunt for unique insights that will transform your business, conquer your competition, and put you on an ever-accelerating path to growth.  But sometimes, the most valuable insights can come from listening to customers in their natural environment. That’s precisely what happened when I eavesdropped on a conversation at a local pizza joint. What I learned could be worth millions to your business.

A guy walked into a pizza place.

Last Wednesday, I met a friend for lunch.  As usual, I was unreasonably early to the local wood-fired pizza joint, so I settled into my chair, content to spend time engaged in one of my favorite activities – watching people and eavesdropping on their conversations.

Although the restaurant is on the main street of one of the wealthier Boston suburbs, it draws an eclectic crowd, so I was surprised when a rather burly man in a paint-stained hoodie flung open the front door.  As he stomped to the take-out order window, dust fell from his shoes, and you could hear the clanging of tools in his tool belt.  He placed his order and thumped down at the table next to me.

A Multi-Million Dollar Chat

He pulled out his cell phone and made a call.  “Hey, yeah, I’m at the pizza place, and they need your help.  Yeah, they hate their current system, but they don’t have the time to figure out a new one or how to convert.  Yeah, ok, I’ll get his number.  Ok if I give him yours.  Great.  Thanks.”

A few minutes later, his order was ready, and the manager walked over with his pizza.

Hoodie-guy: “Hey, do you have a card?”

Manager: “No, I don’t.  Something I can help you with?”

H: “I just called a friend of mine.  He runs an IT shop, and I told him you’re using the RST restaurant management system, and you hate it…”

M: “I hate it so much…”

H: “So my buddy’s business can help you change it. He’s helped other restaurants convert away from RST, and he’d love to talk to you or the owner.”

M: “I’m one of the co-owners, and I’d love to stop using RST, but we use it for everything – our website, online ordering, managing our books, everything.  I can’t risk changing.”

H: “That’s the thing, my friend does it all for you.  He’ll help you pick the new system, set it up, migrate you from the other system, and ensure everything runs smoothly. You have nothing to worry about.”

M: “That would be amazing.  Here’s my direct line. Have him give me a call.  And if he’s good, I can guarantee you that every other restaurant on this street will change, too.  We all use RST, and we all hate it.  We even talked about working together to find something better, but no one had time to figure everything out.”

They exchanged numbers, and the hoodie guy walked out with his pizza.  The manager/owner walked back to the open kitchen, told his staff about the conversation, and they cheered.  Cheered!

Are You Listening?

In just a few minutes of eavesdropping, I uncovered a potential goldmine for a B2B business – 15 frustrated customers, all desperate to switch from a system they hate but unable to do so due to time and resource constraints. The implications are staggering – an entire local market worth tens of millions of dollars ripe for the taking simply by being willing to listen and offer a solution.

As a B2B leader, the question is: are you truly tapping into the insights right in front of you? When was the last time you left your desk, observed your customers in their natural habitat, and listened to their unvarnished feedback? If you’re not doing that, you’re missing out on opportunities that could transform your business.

The choice is yours. Will you stay in your office and rely on well-worn tools, or venture into the wild and listen to your customers?  Your answer could be worth millions.

Image credit: Pixabay

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We Must Reinvent Our Organizations for A New Era of Innovation

We Must Reinvent Our Organizations for A New Era of Innovation

GUEST POST from Greg Satell

In the first half of the 20th century, Alfred Sloan created the modern corporation at General Motors. In many ways, it was based on the military. Senior leadership at headquarters would make plans, while managers at individual units would be allocated resources and made responsible for achieving mission objectives.

The rise of digital technology made this kind of structure untenable. By the time strategic information was gathered centrally, it was often too old to be effective. In much the same way, by the time information flowed up from operating units, it was too late to alter the plan. It had already failed.

So in recent years, agility and iteration has become the mantra. Due to pressures from the market and from shareholders, long-term planning is often eschewed for the needs of the moment. Yet today the digital era is ending and organizations will need to shift once again. We’re going to need to learn to combine long-range planning with empowered execution.

Shifting From Iteration To Exploration

When Steve Jobs came up with the idea for a device that would hold “a thousand songs in my pocket,” it wasn’t technically feasible. There was simply no hard drive available that could fit that much storage into that little space. Nevertheless, within a few years a supplier developed the necessary technology and the iPod was born.

Notice how the bulk of the profits went to Apple, which designed the application and very little to the supplier that developed the technology that made it possible. That’s because the technology for developing hard drives was very well understood. If it hadn’t been that supplier, another would have developed what Jobs needed in six months or so.

Yet today, we’re on the brink of a new era of innovation. New technologies, such as revolutionary computing architectures, genomics and artificial intelligence are coming to the fore that aren’t nearly as well understood as digital technology. So we will have to spend years learning about them before we can develop applications safely and effectively.

For example, companies ranging from Daimler and Samsung to JP Morgan Chase and Barclays have joined IBM’s Q Network to explore quantum computing, even though that it will be years before that technology has a commercial impact. Leading tech companies have formed the Partnership on AI to better understand the consequences for artificial intelligence. Hundreds of companies have joined manufacturing hubs to learn about next generation technology.

It’s becoming more important to prepare than adapt. By the time you realize the need to adapt, it may already be too late.

Building A Pipeline Of Problems To Be Solved

While the need to explore technologies long before they become commercially viable is increasing, competitive pressures show no signs of abating. Just because digital technology is not advancing the way it once did doesn’t mean that it will disappear. Many aspects of the digital world, such as the speed at which we communicate, will continue.

So it is crucial to build a continuous pipeline of problems to solve. Most will be fairly incremental, either improving on an existing product or developing new ones based on standard technology. Others will be a bit more aspirational, such as applying existing capabilities to a completely new market or adopting exciting new technology to improve service to existing customers.

However, as the value generated from digital technology continues to level off, much like it did for earlier technologies like internal combustion and electricity, there will be an increasing need to pursue grand challenges to solve fundamental problems. That’s how truly new markets are created.

Clearly, this presents some issues with resource allocation. Senior managers will have to combine the need to move fast and keep up with immediate competitive pressures with the long-term thinking it takes to invest in years of exploration with an uncertain payoff. There’s no magic bullet, but it is generally accepted that the 70/20/10 principle for incremental, adjacent and fundamental innovation is a good rule of thumb.

Empowering Connectivity

When Sloan designed the modern corporation, capacity was a key constraint. The core challenge was to design and build products for the mass market. So long-term planning to effectively organize plant, equipment, distribution and other resources was an important, if not decisive, competitive attribute.

Digitization and globalization, however, flipped this model and vertical integration gave way to radical specialization. Because resources were no longer concentrated in large enterprises, but distributed across global networks, integration within global supply chains became increasingly important.

With the rise of cloud technology, this trend became even more decisive in the digital world. Creating proprietary technology that is closed off to the rest of the world has become unacceptable to customers, who expect you to maintain API’s that integrate with open technologies and those of your competitors.

Over the next decade, it will become increasingly important to build similar connection points for innovation. For example, the US military set up the Rapid Equipping Force that was specifically designed to connect new technologies with soldiers in the field who needed them. Many companies are setting up incubators, accelerators and corporate venture funds for the same reason. Others have set up programs to connect to academic research.

What’s clear is that going it alone is no longer an option and we need to set up specific structures that not only connect to new technology, but ensure that it is understood and adopted throughout the enterprise.

The Leadership Challenge

The shift from one era to another doesn’t mean that old challenges are eliminated. Even today, we need to scale businesses to service mass markets and rapidly iterate new applications. The problems we need to take on in this new era of innovation won’t replace the old ones, they will simply add to them.

Still, we can expect value to shift from agility to exploration as fundamental technologies rise to the fore. Organizations that are able to deliver new computing architectures, revolutionary new materials and miracle cures will have a distinct competitive advantage over those who can merely engineer and design new applications.

It is only senior leaders that can empower these shifts and it won’t be easy. Shareholders will continue to demand quarterly profit performance. Customers will continue to demand product performance and service. Yet it is only those that are able to harness the technologies of this new era — which will not contribute to profits or customer satisfaction for years to come — that will survive the next decade.

The one true constant is that success eventually breeds failure. The skills and strategies of one era do not translate to another. To survive, the key organizational attribute will not be speed, agility or even operational excellence, but leadership that understands that when the game is up, you need to learn how to play a new one.

— Article courtesy of the Digital Tonto blog and previously appeared on Inc.com
— Image credits: Pixabay

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The Surprising Downside of Collaboration in Problem-Solving

The Surprising Downside of Collaboration in Problem-Solving

GUEST POST from Robyn Bolton

You are a natural-born problem solver.  From the moment you were born, you’ve solved problems.  Hungry?  Start crying.  Learning to walk?  Stand up, take a step, fall over, repeat.  Want to grow your business?  Fall in love with a problem, then solve it more delightfully than anyone else.

Did you notice the slight shift in how you solve problems?

Initially, you solved problems on your own.  As communication became easier, you started working with others.  Now, you instinctively collaborate to solve complex problems, assembling teams to tackle challenges together.

But research indicates your instincts are wrong.  In fact, while collaboration can be beneficial for gathering information, it hinders the process of developing innovative solutions. This counterintuitive finding has significant implications for how teams approach problem-solving.

What a Terrorism Study Reveals About Your Team

In a 2015 study, researchers used a simulation developed by the U.S. Department of Defense to examine how collaboration impacts the problem-solving process. 417 undergrads were randomly assigned to 16-person teams with varying levels of “interconnectedness” (clarity in their team structure and information-sharing permissions) and asked to solve aspects of an imaginary terrorist attack scenario, such as identifying the perpetrators and target. Teams had 25 minutes to tackle the problem, with monetary incentives for solving it quickly.

Highly interconnected teams “gathered 5 percent more information than the least-clustered groups because clustering prevented network members from unknowingly conducting duplicative searches. ‘By being in a cluster, individuals tended to contribute more to the collective exploration through information space—not from more search but rather by being more coordinated in their search,’”

The Least Interconnected teams developed 17.5% more theories and solutions and were more likely to develop the correct solution because they were less likely to “copy an incorrect theory from a neighbor.”

How You Can Help Your Team Create More Successful Solutions

You and your team rarely face problems as dire as terrorist attacks, but you can use these results to adapt your problem-solving practices and improve results.

  1. Work together to gather and share information.  This goes beyond emailing around research reports, interview summaries, and meeting notes.  “Working together” requires your team to take action, like conducting interviews or writing surveys, with one another in real-time (not asynchronously through email, text, or “collaboration” platforms).
  2. Start solving the problem alone.  For example, at the start of every ideation session, I ask people to spend 5 minutes privately jotting down their ideas before group brainstorming.  This prevents copying others’ theories and ensures all voices are heard. (not just the loudest or most senior)
  3. Invite the “Unusual Suspects” into the process.  Most executives know that diversity amplifies creativity, so they invite a mix of genders, ages, races, ethnicities, tenures, and industry experiences to brainstorming sessions.  While that’s great, it also results in the same people being invited to every brainstorm and, ultimately, creating a highly interconnected group.  So, mix it up even more. Invite people never before invited to brainstorming into the process.  Instead of spending a day brainstorming, break it up into one-hour bursts at different times of the day. 

Are You Willing to Take the Risk?

For most of your working life, collaboration has been the default approach to problem-solving. However, this research suggests that rethinking when and how to leverage collaboration can lead to greater success.

Making such a change isn’t easy – it invites skepticism and judgment as it deviates from the proven “status quo” process.

Are you willing to take that risk, separating information gathering from solution development, for the potential of achieving better, more innovative outcomes? Or will you remain content with “good enough” solutions from conventional methods?

Image credit: Unsplash

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