Maintaining Work-Life Balance in a Post-Pandemic Remote Work World

Maintaining Work-Life Balance in a Post-Pandemic Remote Work World

GUEST POST from Chateau G Pato

The COVID-19 pandemic has reshaped the way we work, with many businesses transitioning to a remote work model. While this has brought about increased flexibility and convenience for employees, it has also blurred the boundaries between work and personal life, making it challenging to maintain a healthy work-life balance. In order to thrive in this new work environment, it is crucial for employees to prioritize their well-being and find strategies to effectively manage their time and energy.

Case Study 1: Setting Boundaries

One key aspect of maintaining work-life balance in a remote work world is setting boundaries. Without the physical separation between the office and home, it can be easy for work to spill over into personal time. This can lead to burnout and decreased productivity. One case study example is Sarah, a marketing manager who found herself working late into the evening and on weekends in order to keep up with her workload. After experiencing increased stress and exhaustion, she implemented a strict work schedule and designated a specific workspace in her home. By setting clear boundaries, Sarah was able to maintain a healthier balance between work and personal life.

Case Study 2: Self-Care and Work-Life Integration

In addition to setting boundaries, it is important for employees to prioritize self-care and work-life integration. This involves integrating activities that bring joy and relaxation into the daily routine, such as exercise, meditation, and spending quality time with loved ones. Another case study example is Alex, a software developer who struggled to unwind after long hours of coding. He began incorporating short breaks throughout the day to go for a walk or practice mindfulness, which helped him recharge and stay focused. By prioritizing self-care and integrating activities that bring balance into his day, Alex was able to improve his overall well-being and productivity.

Conclusion

As we navigate the challenges of working remotely in a post-pandemic world, it is important for employees to prioritize their mental and physical health in order to maintain a healthy work-life balance. By setting boundaries, prioritizing self-care, and integrating activities that bring joy and relaxation into their routine, employees can thrive in this new work environment and ensure long-term success. Remember, your well-being is just as important as your work – make time for yourself and prioritize what truly matters.

SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.

Image credit: Pexels

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Case Studies: Successful Innovations Driven by Collaboration

Case Studies: Successful Innovations Driven by Collaboration

GUEST POST from Art Inteligencia

In today’s fast-paced and rapidly evolving world, successful organizations understand that innovation is crucial for staying ahead of the competition. However, innovation is not a one-person job. It requires collaboration and the ability to bring together diverse perspectives, skills, and experiences. This is where case studies of successful innovations driven by collaboration come into play.

Case Study 1: Apple and Nike Partnership

One such example is the partnership between Apple and Nike that led to the creation of the Nike+ running sensor. Apple, known for its sleek design and innovative technology, collaborated with Nike, a leader in athletic apparel and footwear, to create a product that revolutionized the way people track their workouts. By combining Apple’s expertise in technology with Nike’s knowledge of the fitness industry, the two companies were able to create a product that seamlessly integrated into users’ lives and provided valuable data to help them improve their performance.

Case Study 2: IBM and Memorial Sloan Kettering Cancer Center

Another example of successful innovation driven by collaboration is the partnership between IBM and the Memorial Sloan Kettering Cancer Center. By combining IBM’s artificial intelligence technology with the healthcare expertise of Memorial Sloan Kettering, the two organizations were able to develop a cognitive computing system that assists doctors in diagnosing and treating cancer more effectively. This collaboration has led to faster and more accurate diagnoses, ultimately improving patient outcomes.

Conclusion

These case studies showcase the power of collaboration in driving successful innovation. By working together, companies can leverage their respective strengths to create groundbreaking products and services that have a positive impact on society. As we continue to navigate a world that is increasingly interconnected, it is essential for organizations to embrace collaboration as a key driver of innovation. The success stories of Apple and Nike, as well as IBM and Memorial Sloan Kettering, serve as powerful examples of what can be achieved when companies come together to solve complex problems and drive positive change.

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Unsplash

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Creating a Culture of Everyday Innovation

Creating a Culture of Everyday Innovation

GUEST POST from Chateau G Pato

In today’s rapidly evolving business landscape, organizations must prioritize innovation in order to stay competitive and thrive. However, many companies struggle to foster a culture of innovation that transcends the occasional brainstorming session or special project. True innovation must become a part of the fabric of daily operations, ingrained in the mindset of every employee from top to bottom.

So, how can organizations instill a culture of everyday innovation? By encouraging and empowering their employees to contribute ideas and improve processes continuously. Here are two case studies that exemplify this approach:

Case Study 1: Google

Google is renowned for its culture of innovation, which is evident in its diverse range of products and services. One key to Google’s success is its “20% time” policy, where employees are encouraged to spend 20% of their work hours pursuing their own passion projects. This policy has led to the creation of products like Gmail and Google Maps, which have revolutionized the way we communicate and navigate the world.

Google also holds regular hackathons, where employees come together to brainstorm and develop new ideas in a collaborative environment. These events not only foster creativity and innovation but also help break down silos between teams and departments, encouraging cross-pollination of ideas.

By empowering employees to take risks, experiment, and think outside the box, Google has created a culture of everyday innovation that drives the company’s success.

Case Study 2: 3M

3M is another organization that excels at fostering innovation in its day-to-day operations. One of 3M’s most famous innovations is the Post-it Note, which was the result of a serendipitous discovery by a scientist trying to develop a strong adhesive. This accidental invention led 3M to adopt a philosophy of “innovating by mistake,” encouraging employees to explore new ideas and opportunities without fear of failure.

3M also has a program called “Genesis Grants,” which provides funding for employees to pursue innovative projects that align with the company’s strategic goals. This initiative not only incentivizes employees to think creatively but also shows that the company values and supports their ideas.

By creating a supportive environment where employees are encouraged to experiment, take risks, and think outside the box, 3M has built a culture of everyday innovation that drives continuous improvement and propels the company forward.

Conclusion

Creating a culture of everyday innovation requires more than just lip service from leadership. Organizations must empower their employees to contribute ideas, experiment, and take risks in order to drive meaningful change and stay ahead of the competition. By following the examples set by companies like Google and 3M, organizations can cultivate a culture of innovation that fuels growth, creativity, and success.

SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.

Image credit: misterinnovation.com

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Embracing Regenerative Agriculture

Benefits and Strategies for Businesses

Embracing Regenerative Agriculture: Benefits and Strategies for Businesses

GUEST POST from Art Inteligencia

In recent years, there has been a growing awareness of the environmental challenges facing our planet, particularly in the realm of agriculture. Traditional agricultural practices have often focused on maximizing yields and profits, often at the expense of the health of the land and surrounding ecosystems. However, a shift towards regenerative agriculture is gaining momentum, with businesses recognizing the potential benefits not only for the environment, but also for their bottom line.

Regenerative agriculture is a holistic approach to farming that focuses on restoring and revitalizing the health of the soil, water, and biodiversity. By prioritizing soil health and biodiversity, regenerative agriculture aims to not only sustain, but improve the productivity and resilience of the land over time. This approach has been shown to have a number of benefits for businesses, including improved soil fertility, increased crop yields, and reduced reliance on synthetic inputs.

Case Study 1: General Mills

One company that has successfully embraced regenerative agriculture is General Mills. In 2015, General Mills announced a commitment to advance regenerative agriculture on one million acres of farmland by 2030. By implementing regenerative practices such as cover cropping, crop rotation, and reduced tillage, General Mills has been able to improve soil health and increase the resilience of their supply chain. This has not only helped to mitigate the impacts of climate change, but has also led to increased yields and cost savings for the company.

Case Study 2: Dr. Bronner’s

Another example of a business reaping the benefits of regenerative agriculture is Dr. Bronner’s, a family-owned soap and personal care product company. Dr. Bronner’s has been a vocal advocate for regenerative agriculture, and has made a commitment to source all of their major ingredients from regenerative sources by 2020. By working directly with farmers to implement regenerative practices such as agroforestry and rotational grazing, Dr. Bronner’s has been able to improve soil health, increase biodiversity, and sequester carbon. This commitment to regenerative agriculture has not only helped to differentiate Dr. Bronner’s products in the marketplace, but has also strengthened their relationships with suppliers and consumers.

Conclusion

In order to successfully implement regenerative agriculture practices, businesses must be willing to invest in education, training, and long-term partnerships with farmers. By taking a holistic approach to farming and prioritizing soil health and biodiversity, businesses can not only help to mitigate the impacts of climate change, but can also create a more resilient and sustainable supply chain. Embracing regenerative agriculture is not only a moral imperative, but a strategic opportunity for businesses to drive innovation, reduce risk, and create value for all stakeholders.

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Unsplash

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Design Thinking as a Tool for Breakthrough Innovation in Service Industries

Design Thinking as a Tool for Breakthrough Innovation in Service Industries

GUEST POST from Chateau G Pato

In today’s rapidly evolving business landscape, service industries are constantly seeking ways to differentiate themselves and stay ahead of the competition. One approach that has gained traction in recent years is the use of design thinking as a tool for driving breakthrough innovation. By putting the end-user at the center of the design process, companies can create truly customer-centric solutions that meet the needs and desires of their target market.

Design thinking is a human-centered approach to innovation that involves empathizing with the end-user, defining the problem, ideating potential solutions, prototyping, and testing those ideas with real users. By following this iterative process, companies can uncover deep insights about their customers’ pain points and preferences, leading to breakthrough innovations that drive business growth.

Two case studies exemplify the power of design thinking in driving breakthrough innovation in service industries:

Case Study 1: Airbnb

Founded in 2008, Airbnb disrupted the hospitality industry by providing a platform that connects travelers with unique and personalized accommodations. By using design thinking principles, Airbnb was able to deeply understand the needs and desires of both hosts and guests.

Through interviews and observations, Airbnb’s design team discovered that many travelers were seeking authentic, local experiences rather than cookie-cutter hotel rooms. This insight led to the creation of a platform that allows hosts to offer their homes as accommodations, giving travelers a more personal and unique experience.

By putting the end-user at the center of their design process, Airbnb was able to create a breakthrough innovation that has reshaped the way people travel and experience new places.

Case Study 2: Disney Parks

Disney Parks is known for providing an immersive and magical experience for its guests. To maintain this high level of customer satisfaction, Disney has embraced design thinking as a tool for continuous innovation.

One way Disney has used design thinking is through its FastPass+ system, which allows guests to reserve ride times in advance, reducing wait times and enhancing the overall park experience. By focusing on the needs and preferences of park guests, Disney was able to create a system that improves the customer experience and drives guest satisfaction.

By incorporating design thinking into their innovation process, Disney Parks continues to deliver breakthrough innovations that delight and captivate their guests.

Conclusion

Design thinking is a powerful tool for driving breakthrough innovation in service industries. By empathizing with customers, defining their needs, and prototyping solutions, companies can create truly customer-centric products and services that set them apart from the competition. The case studies of Airbnb and Disney Parks demonstrate the transformative impact of design thinking in driving innovation and delivering exceptional customer experiences. By embracing design thinking, service industries can unlock new opportunities for growth and success in today’s competitive market.

SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.

Image credit: Pexels

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Discipline Has a Role in Innovation

Discipline Has a Role in Innovation

GUEST POST from Jesse Nieminen

Innovation is, without a doubt, a creative endeavor. However, many people still think it’s all about creativity. There’s a magical a-ha moment, and the rest is history.

Well, as we’ve explained before, that’s just not true. Those that have really been trying to innovate know that there is much more hard work than there is fun and games in the process of creating and scaling an innovation.

Thus, discipline plays a huge role in innovation. In fact, I’d argue that discipline is one of the least spoken about, yet most important factors determining whether individuals and organizations succeed at creating innovations.

So, in this article, we’ll dive deeper into the topic and discuss the role discipline plays in innovation to hopefully help you and your organization do a better job at it.

What is discipline?

As a term, discipline is commonly used to just refer to being strong-willed enough to put in a lot of hard work. In other words, self-discipline.

However, if we look at a dictionary, there are a few distinct but connected uses for the word. One refers to it as a branch of science, skill or type of work, another as the practice of regulating the behavior of people in a system, and the third as a synonym for punishing people for undesirable behavior in that system.

Well, innovation is certainly a discipline in the first meaning of the word, but it’s also one that takes a lot of discipline to succeed at, in the second meaning of the word.

“Innovation is a discipline that takes a lot of discipline to succeed at.”

Let’s dive a bit deeper on that second meaning for the word. For our purposes, we can further divide that it into two categories:

  • Self-discipline
  • Organizational discipline

There’s obviously a lot these have in common, but for an organization to succeed at innovation, you need both.

In a nutshell, you need self-disciplined individual willing to put their head down and persist. But you also need organizational discipline to focus on what matters, and to create the incentive structures needed to reinforce all of that.

Why is discipline so important for innovation?

So, with that covered, we can dive deeper into why discipline is so important for innovation and how that happens in practice.

We’ll next cover each of the main points briefly.

Viima Art of Discipline

It takes hard work, persistence, and focus to create an innovation

Because our software is centerer around ideas, we often have to explain that while every innovation starts from an idea, an idea is maybe 1% of the way there towards a real innovation. It still needs development, refinement, implementation, scaling, and so on.

Going through that whole process takes a lot of hard work for pretty much every idea, even if the idea might seem trivial at first. The fact is that by the time you get an idea, hundreds, thousands or maybe even millions of people have probably had the same idea before. Most have just never bothered to implement it, or at least haven’t succeeded at it.

“Every innovator will face plenty of challenges on the way, and there will be plenty of times when things look dire, and you could give up.”

Every innovator will face plenty of challenges on the way, and there will be plenty of times when things look dire, and you could give up. Most do. But to succeed, you need to persevere and persist through these hardships.

To do that, you’re going to need a lot of discipline to avoid potential distractions, keep your head down and focus on what matter.

Trust the process and keep going

If you’ve ever been following a challenging fitness program, you know the feeling when it looks like you’re working your butt off and not making any progress.

The weights feel even heavier than they did the last time. That’s because you’ve been accumulating stress on your body, and it hasn’t yet had the opportunity to respond. Once you get some rest and recover from that stress caused by the exercise, the body will react to the stress and make you stronger.

Innovation takes hard work and trust in the process

Well, the journey is the same with innovation: facing those stressors will feel challenging, but if you don’t give up, that’s what will make both you and the innovation better.

To keep using the same metaphor, if you’d like to run a 3-hour marathon, your fitness program will obviously look very different from if you instead wanted to squat 500 pounds. Similarly, if your strategy calls for incremental innovation, your innovation processes will look very different from those aiming for disruptive innovation, but more on that here.

Regardless, the key in each of these situations is to just trust the process and keep going. Even when things don’t look great. The challenges you face will shape your innovation for the better, and the results will follow – or you’ll run out of money. Regardless, you just need the discipline to persist and stay on track.

While following the process is what will eventually get you there, you of course need to make sure you’re on the right path in the first place, and that is where disciplined thinking comes into play. 

It’s easy to fool yourself without disciplined thinking

Our brain has a natural tendency to take mental shortcuts. We have an ability to recognize patterns and use those to make quick decisions efficiently and thus save energy. In most everyday situations, that ability is obviously very beneficial.

However, with innovation, this is often problematic. It’s these mental shortcuts that lead to many of the root causes behind issues that prevent organizations from innovating. This is perhaps easiest captured in common sayings like “This is how we’ve always done it” and “There’s no way that could work”.

“Our brain has a natural tendency to take mental shortcuts, which is the root cause behind many obstacles for innovation. Disciplined thinking is how you combat that.”

What’s more, if you’re an optimistic person, as most people working on innovation usually are, it’s easy to fool yourself to think that you have created something valuable even when you really haven’t. We often prematurely fall in love with that solution, instead of the problem.

Remaining highly analytical and rational in your decision-making while still being creative and aspirational is a tough combination for any person, or even for a team, to have.

Achieving that balance takes a lot of disciplined thinking. You need to stay grounded in reality, be willing to question yourself, and go back to first principleswhile still relentlessly moving forward. It’s a mindset anyone can learn, but that requires constant discipline to maintain.

Most organizations lack discipline

However, even if you are a good innovator, and have a great team that ticks all the boxes we’ve talked about above, it doesn’t mean that you’re automatically going to succeed.

One of the big barriers for that is the lack of organizational discipline. This is common for both startups and large organizations alike.

The idea is simple to understand. Just like an individual must remain focused to become great at something, so does an organization.

You need to make tough choices to have a clear strategy. That means saying no to a lot of things, so that you can focus on the things that will truly make a difference.

Clear focus and disciplined execution are necessary for innovation

Sometimes you might have to keep investing in these truly strategically important areas, even if there’s no quantifiable ROI in the near term. Again, at the same time, the organization needs the discipline to not think about sunk costs and ruthlessly kill innovation projects that have proven to not be able to live up to their potential to free up resources for the ones that have the best odds of success.

That might sound like a paradoxical combination, and to a certain extent, it is. But that’s what makes it interesting.

On the execution side, you need a lot of discipline to have clear roles and set clear goals so that people have the prerequisites for succeeding, but also leave innovators with enough freedom to explore the best way to reach those goals. Again, that is a difficult combination to achieve. It requires a lot of discipline at all levels of the organization.

In our experience, most organizations just aren’t there yet, even if many individuals within the organization would be, and that is a big barrier for innovation.

As a result, corporate innovators often end up burning out or losing their motivation just trying to navigate the maze of organizational hierarchy for one permission and approval after another before they even get to start working on an innovation. That is a clear sign of an organization that isn’t disciplined – or alternatively has chosen to not innovate.

Discipline in practice

We’ve covered a lot of ground, and most of that has been pretty abstract, so before we wrap up, I’ll share a more practical example with you.

It’s a cliché to use Steve Jobs and Apple as an example for innovation, so I don’t usually like to do that. However, for this specific topic, I think it’s the perfect illustration because people usually see Jobs as this creative visionary and the ultimate ideas guy who couldn’t care less about processes or discipline.

But in fact, the first thing he did when coming back to Apple in 1997 wasn’t to come up with cool new products. It was to introduce a ton of discipline in everything they did and ruthlessly cut back on anything that didn’t truly help them innovate and create better products going forward.

First, he cut 70% of the products the company offered, and as a result, had to lay off 3,000 employees.

Apple's innovations came from following a disciplined process

Jim Collins does a great job summarizing some of the other actions in his book Great by Choice:

“They cut perks, stopped funding the corporate sabbatical program, improved operating efficiency, lowered overall cost structure, and got people focused on the intense ‘work all day and all of the night’ ethos that’d characterized Apple in its early years. Overhead costs fell. The cash-to-current-liabilities doubled, and then tripled.”

That provided Apple with the financial stability needed to invest in innovation and allowed them to focus their leadership and top talent purely on creating new innovations that ended up shaping the future of the company.

Also, from the Walter Isaacson biography of Jobs (which I highly recommend), it becomes obvious how diligent and disciplined Jobs and the rest of the team at Apple were in perfecting every little detail of their products, processes, and even the look of their stores (sometimes to a fault).

Conclusion

To conclude, it takes a lot of discipline to succeed at innovation. That discipline is at least as important as the creativity we usually associate with the term innovation. And, because it’s so underrated, I’d argue it’s the part most of us need to focus on.

After all, it is that disciplined execution of an idea that usually makes the difference between those that succeed and fail.

Thomas Edison did a great job in summarizing discipline when asked about his failed attempts at a lightbulb:

“I have not failed. I have successfully found 10,000 ways that will not work.”

Discipline is, without a doubt, about putting in the work, but there’s a bit more to it than that. It’s also about staying focused and grounded in reality, both of which are well displayed in that quote.

“Being disciplined, both as an individual as well as an organization can be very challenging. The good thing is that it is a muscle that you can develop.”

Even if it might not be immediately obvious, lack of discipline either as an individual or as an organization, is the root cause behind a significant portion of challenges organizations face when trying to innovate.

To be frank, being disciplined, both as an individual as well as an organization, for extended periods of time can be very challenging. The good thing is that it is, figuratively speaking, a muscle that you can develop. Most would-be innovators and leaders just aren’t quite there yet.

If you recognize yourself or your organization from this article, there’s no need to hide that – and there’s nothing to be ashamed of. We’ve all been there. Each of us has areas in our life where we lack discipline, or at the very least, times when we’ve failed to keep that up.

In fact, as an individual or organization, you need to be honest and admit that this is a problem for you. Once you do, you can take steps to address that, and you’ll be much closer to becoming a successful innovator.

This article was originally published in Viima’s blog.

Image credits: Unsplash, Viima

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Nominations Closed – Top 40 Innovation Bloggers of 2021

Nominations Open for the Top 40 Innovation Bloggers of 2021Human-Centered Change and Innovation loves making innovation insights accessible for the greater good, because we truly believe that the better our organizations get at delivering value to their stakeholders the less waste of natural resources and human resources there will be.

As a result we are eternally grateful to all of you out there who take the time to create and share great innovation articles, presentations, white papers, and videos with Braden Kelley and the Human-Centered Change and Innovation team. As a small thank you to those of you who follow along, we like to make a list of the Top 40 Innovation Bloggers available each year!

Our lists from the ten previous years have been tremendously popular, including:

Top 40 Innovation Bloggers of 2015
Top 40 Innovation Bloggers of 2016
Top 40 Innovation Bloggers of 2017
Top 40 Innovation Bloggers of 2018
Top 40 Innovation Bloggers of 2019
Top 40 Innovation Bloggers of 2020

Do you just have someone that you like to read that writes about innovation, or some of the important adjacencies – trends, consumer psychology, change, leadership, strategy, behavioral economics, collaboration, or design thinking?

Human-Centered Change and Innovation is now looking for the Top 40 Innovation Bloggers of 2021.

The deadline for submitting nominations is December 24, 2021 at midnight GMT.

You can submit a nomination either of these two ways:

  1. Sending us the name of the blogger and the url of their blog by @reply on twitter to @innovate
  2. Sending the name of the blogger and the url of their blog and your e-mail address using our contact form

(Note: HUGE bonus points for being a contributing author)

So, think about who you like to read and let us know by midnight GMT on December 24, 2021.

We will then compile a voting list of all the nominations, and publish it on December 25, 2021.

Voting will then be open from December 25, 2021 – January 1, 2022 via comments and twitter @replies to @innovate.

The ranking will be done by me with influence from votes and nominations. The quality and quantity of contributions by an author to this web site will be a contributing factor.

Contact me with writing samples if you’d like to self-publish on our platform!

The official Top 40 Innovation Bloggers of 2021 will then be announced on here in early January 2022.

We’re curious to see who you think is worth reading!

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Addressing Ethical Concerns

Ensuring AI-powered Workplace Productivity Benefits All

Addressing Ethical Concerns: Ensuring AI-powered Workplace Productivity Benefits All

GUEST POST from Art Inteligencia

In today’s fast-paced world, artificial intelligence (AI) has become an integral part of workplace productivity. From streamlining processes to enhancing decision-making, AI technologies have the potential to revolutionize the way we work. However, with great power comes great responsibility, and it is essential to address the ethical concerns that come with the widespread adoption of AI in the workplace.

One of the primary ethical concerns surrounding AI in the workplace is the potential for bias in decision-making. AI algorithms are only as good as the data they are trained on, and if this data is biased, the AI system will perpetuate that bias. This can lead to discriminatory outcomes for employees, such as biased hiring decisions or performance evaluations. To combat this, organizations must ensure that their AI systems are trained on diverse and unbiased datasets.

Case Study 1: Amazon’s Hiring Algorithm

One notable example of bias in AI can be seen in Amazon’s hiring algorithm. The company developed an AI system to automate the screening of job applicants, with the goal of streamlining the hiring process. However, the system started to discriminate against female candidates, as it was trained on historical hiring data that favored male candidates. Amazon eventually scrapped the system, highlighting the importance of ethical considerations when implementing AI in the workplace.

Another ethical concern with AI in the workplace is the potential for job displacement. As AI technologies become more advanced, there is a fear that they will replace human workers, leading to job losses and economic instability. To address this concern, organizations must focus on re-skilling and up-skilling their workforce to prepare them for the changes brought about by AI.

Case Study 2: McDonald’s AI-powered Drive-thru

McDonald’s recently introduced AI-powered drive-thru technology in select locations, which uses AI algorithms to predict customer orders based on factors such as time of day, weather, and previous ordering patterns. While this technology has led to improved efficiency and customer satisfaction, there have been concerns about the impact on the workforce. To address this, McDonald’s has implemented training programs to help employees adapt to the new technology and take on more customer-facing roles.

Conclusion

The ethical concerns surrounding AI in the workplace must be addressed to ensure that the benefits of AI-powered productivity are distributed equitably. By focusing on diversity and inclusion in AI training data, as well as investing in reskilling and upskilling programs for employees, organizations can mitigate the potential negative impacts of AI on the workforce. By taking a proactive approach to ethics in AI, organizations can create a workplace that benefits all employees, customers, and stakeholders.

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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Digital Era Replaced by an Age of Molecular Innovation

Digital Era Replaced by an Age of Molecular Innovation

GUEST POST from Greg Satell

It’s become strangely fashionable for digerati to mourn the death of innovation. “There’s nothing new,” has become a common refrain for which they blame venture capitalists, entrepreneurs and other digerati they consider to be less enlightened than themselves. They yearn for a lost age when things were better and more innovative.

What they fail to recognize is that the digital era is ending. After more than 50 years of exponential growth, the technology has matured and advancement has naturally slowed. While it is true that there are worrying signs that things in Silicon Valley have gone seriously awry and those excesses need to be curtailed, there’s more to the story.

The fact is that we’re on the brink of a new era of innovation and, while digital technology will be an enabling factor, it will no longer be center stage. The future will not be written in the digital language of ones and zeroes, but in that of atoms, molecules, genes and proteins. We do not lack potential or possibility, what we need is more imagination and wonder.

The End Of Moore’s Law

In 1965, Intel cofounder Gordon Moore published a remarkably prescient paper which predicted that computing power would double about every two years. This idea, known as Moore’s Law , has driven the digital revolution for a half century. It’s what’s empowered us to shrink computers from huge machines to tiny, but powerful, devices we carry in our pockets.

Yet there are limits for everything. The simple truth is that atoms are only so small and the speed of light is only so fast. That puts a limit on how many transistors we can cram onto a silicon wafer and how fast electrons can zip around the logic gates we set up for them. At this point, Moore’s Law is effectively over.

That doesn’t mean that advancement will stop altogether. There are other ways to speed up computing. The problem is that they all come with tradeoffs. New architectures, such as quantum and neuromorphic computing, for instance, require new programming languages, new logical approaches and very different algorithmic strategies than we’re used to.

So for the next decade or two we’re likely to see a heterogeneous computing environment emerge, in which we combine different architectures for different tasks. For example, we will be augmenting traditional AI systems with techniques like quantum machine learning. It is not only possible, but fairly likely, that these types of combinations will result in an exponential increase in capability.

A Biological Revolution

Moore’s Law has become essentially shorthand for exponential improvement in any field. Anytime we see a continuous doubling of efficiency, we call it “the Moore’s Law of ‘X.’’ Yet since the Human Genome Project was completed in 2003, advancement in genetic sequencing has far outpaced what has happened in the digital arena.

What is possibly an even bigger development occurred in 2012, when Jennifer Doudna and her colleagues discovered how CRISPR could revolutionize gene editing. Now, suddenly, the work of genetic engineers that would have taken weeks could be done in hours, at a fraction of the cost, with much greater accuracy and the new era of synthetic biology had begun.

The most obvious consequence of this new era is the Covid-19 vaccine, which was designed in a matter of mere days instead of what’s traditionally taken years. The mRNA technology used to create two of the vaccines also holds promise for cancer treatment and CRISPR-based approaches have been applied to cure sickle cell and other diseases.

Yet as impressive as the medical achievements are, they make up only a fraction of the innovation that synthetic biology is making possible. Scientists are working on programming microorganisms to create new carbon-neutral biofuels and biodegradable plastics. It may very well revolutionize agriculture and help feed the world.

The truth is that the biological revolution is basically where computers were at in the 1970s or 80s and we are just beginning to understand the potential. We can expect progress to accelerate for decades to come.

The Infinite World Of Atoms

Anyone who has regularly read the business press over the past 20 years or so would naturally conclude that we live in a digital economy. Certainly, tech firms dominate any list of the world’s most valuable companies. Yet take a closer look and you will find that information and communication as a sector only makes up for 6% of GDP in advanced countries.

The truth is that we still live very much in a world of atoms and we spend most of our money on what we eat, wear, ride and live in. Any real improvement in our well-being depends on our ability to shape atoms to our liking. As noted above, reprogramming genetic material in cells to make things for us is one way we can do that, but not the only one.

In fact, there is a revolution in materials science underway. Much like in genomics, scientists are learning how to use computers to understand materials on a fundamental level and figure out how we can design them a lot better. In fact, in some cases researchers are able to discover new materials hundreds of times more efficiently than before.

Unlike digital or biological technologies this is largely a quiet revolution with very little publicity. Make no mistake, however, our newfound ability to create advanced materials will transform our ability to create and build everything from vastly more efficient solar panels to lighter, stronger and more environmentally friendly building materials.

The Next Big Thing Always Starts Out Looking Like Nothing At All

The origins of digital computing can be traced back at least a century, to the rise and fall of logical positivism, Turing’s “machine,” the invention of the transistor, the integrated circuit and the emergence of the first modern PC at Xerox PARC in the early 1970s. Yet there wasn’t a measurable impact from computing until the mid-1990s.

We tend to assume that we’ll notice when something important is afoot, but that’s rarely the case. The truth is that the next big thing always starts out looking like nothing at all. It doesn’t appear fully bloomed, but usually incubates for years—and often decades—by scientists quietly working in labs and by specialists debating at obscure conferences.

So, yes, after 50 years the digital revolution has run out of steam, but that shouldn’t blind us to the incredible opportunities that are before us. After all, a year ago very few people had heard of mRNA vaccines, but that didn’t make them any less powerful or important. There is no shortage of nascent technologies that can have just as big of an impact.

The simple fact is that innovation is not, and never has been, about what kind of apps show up on our smartphone screens. The value of a technology is not measured in how a Silicon Valley CEO can dazzle an audience on stage, but in our capacity to solve meaningful problems and, as long as there are meaningful problems to solve, innovation will live on.

— Article courtesy of the Digital Tonto blog
— Image credit: Pixabay

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The Power of Collaboration

Creating Cross-Functional Teams for Innovative Ideas

GUEST POST from Chateau G Pato

In today’s fast-paced and rapidly changing business environment, collaboration has become more important than ever. No longer can organizations survive by staying siloed in their respective departments. Instead, successful companies are embracing the power of cross-functional teams to foster innovative ideas and drive growth.

What is a cross-functional team?

A cross-functional team consists of individuals from different departments or areas of expertise within an organization who come together to work on a specific project or problem. These teams are typically diverse, with members bringing a range of perspectives, skills, and knowledge to the table. By blending expertise from various disciplines, cross-functional teams are able to tackle complex challenges and drive creative solutions.

The Benefits of Cross-Functional Teams

One of the key benefits of cross-functional teams is their ability to break down communication barriers within an organization. By bringing together individuals from different departments, teams are able to bridge gaps and foster a culture of openness and collaboration. This can lead to increased productivity, improved decision-making, and more innovative ideas.

Additionally, cross-functional teams are better equipped to tackle complex problems that require diverse skill sets. By leveraging the expertise of team members from different areas, organizations can develop more comprehensive solutions that take into account a variety of perspectives.

Case Study 1: Apple Inc.

A prime example of the power of cross-functional teams can be seen at tech giant Apple Inc. Known for its innovation and sleek design, Apple relies heavily on cross-functional teams to drive product development. For example, the development of the iPhone involved collaboration between engineers, designers, marketers, and supply chain experts. By bringing together individuals with different backgrounds and expertise, Apple was able to create a groundbreaking product that revolutionized the smartphone industry.

Case Study 2: Google X

Another example of successful cross-functional team collaboration can be found at Google X, the company’s secretive research and development lab. Google X is home to some of the company’s most ambitious projects, including self-driving cars and internet-beaming balloons. These projects are the result of cross-functional teams composed of engineers, scientists, designers, and business experts working together to push the boundaries of technology and innovation.

Conclusion

The power of collaboration through cross-functional teams cannot be understated. By breaking down traditional departmental barriers and fostering a culture of openness and collaboration, organizations can drive innovation, improve decision-making, and drive growth. As demonstrated by companies like Apple and Google X, the benefits of cross-functional teams are clear. As businesses navigate an increasingly complex and competitive landscape, investing in cross-functional teams is essential for staying ahead of the curve and driving success in the long run.

SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.

Image credit: Pexels

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