Category Archives: Technology

The Gilded Age of SickTech

The Sicktech Gilded Age

GUEST POST from Arlen Meyers, M.D.

The WSJ reported that Twitter Inc. TWTR 5.66% accepted Elon Musk’s bid to take over the company and go private, a deal that would give the world’s richest person control over the social-media network where he is also among its most influential users.

The $44 billion deal marks the close of a dramatic courtship and a change of heart at Twitter, where many executives and board members initially opposed Mr. Musk’s takeover approach. The deal has polarized Twitter employees, users and regulators over the power tech giants wield in determining the parameters of discourse on the internet and how those companies enforce their rules.

In response, the NYT reminded us that two years ago, the economists Emmanuel Saez and Gabriel Zucman published a statistic that you don’t normally see. It was the share of wealth owned by the richest 0.00001 percent of Americans.

That tiny slice represented only 18 households, Saez and Zucman estimated. Each one had an average net worth of about $66 billion in 2020. Together, the share of national wealth owned by the group had risen by a factor of nearly 10 since 1982.

Wealth inequality in the US is rising with fewer and fewer owning more and more. As digital health consolidates and unicorns become as common as dandelions on your lawn this time of year, should we fear the Sicktech Gilded Age? What are the concerns?

  1. Will these technologies cause more problems than they solve?
  2. With wealth comes power. What will that mean for equitable access?
  3. What will be the impact on the business of medicine?
  4. Will profits precede patient interests more than they are now?
  5. What will be the impact of private equity on medical practice?
  6. How should we educate and train health professionals to work in the Sickcare Gilded Age?
  7. How will sickcare entrepreneurs respond?
  8. What will be the backlash from the sickcare workforce? Labor actions and strikes?
  9. How much more will the prices of sickcare rise as inflation eats away at household spending?
  10. Will technobarons be able to transform sickcare into healthcare?
  11. Will there be a Luddite backlash? The past is prologue.
  12. What will be the impact of sickcare technologies on society?

Or, will there the bubble pop and we will start seeing more “cram downs”? Do you trust sickcare technobarons to do the right thing?

We will have to wait and see whether Mr. Musk can unleash the value of Twitter or whether sickcare barons can do the same. Many other billionaires have failed trying.

Image Credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Nanotechnology is the Next Giant Leap in Innovation

Nanotechnology is the Next Giant Leap in Innovation

GUEST POST from Chateau G Pato

In the ever-evolving realm of technological advancement, nanotechnology stands out as both pioneering and transformative. By manipulating matter at an atomic and molecular scale, we open the doors to an infinite series of possibilities—Key innovations that could redefine industries and enhance the human experience.

Unlocking New Potential

Nanotechnology operates on a scale so minuscule it’s difficult for the human mind to grasp. Yet, its applications span from medicine to agriculture, enabling breakthroughs that were once only conceptualized in science fiction.

Case Study 1: Revolutionizing Drug Delivery

One of the most promising applications of nanotechnology lies in the field of medicine, particularly in targeted drug delivery systems.

The Case of Liposome Drug Carriers

Liposomes are tiny vesicles that can encapsulate drugs, protecting them from degradation while delivering them precisely to target sites within the body. The company Encore Pharmaceuticals has been at the forefront of this innovation, integrating liposomal nanotechnology in cancer treatment.

Their liposome-based drug carrier systems increase the efficacy of chemotherapeutic agents, minimizing damage to healthy cells and reducing side effects significantly. This breakthrough not only improves patient outcomes but also represents a quantum leap in how we can approach complex diseases at the molecular level.

Case Study 2: Transforming Clean Energy

The implications of nanotechnology in clean energy are profound, with potential game-changers in energy efficiency and sustainability.

The Case of Nano-Enhanced Solar Panels

One innovation that holds promise for a sustainable future is the development of nano-enhanced solar panels by Nanocap Solar Solutions.

By applying a nanostructured surface coating to solar cells, the company dramatically increases their efficiency by enhancing light absorption and minimizing energy loss. This approach not only improves performance but also reduces the cost per watt, making solar energy more accessible and competitive with fossil fuels.

Such advancements herald a significant step forward in achieving global energy sustainability and reducing our carbon footprint dramatically.

The Road Ahead

As nanotechnology continues to evolve, it presents a landscape ripe for innovation and impact. However, with great potential comes the responsibility to navigate ethical considerations and societal implications carefully. The convergence of technology and humanity is an opportunity to co-create a future that benefits not only industries but individuals at a deeply human level.

The journey into the nanoscale realm is indeed the next giant leap, and with focused effort and thoughtful implementation, it promises to be a leap that propels us toward a more innovative, sustainable, and human-centric future.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Pexels

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Leveraging Data to Drive Innovation Success

Leveraging Data to Drive Innovation Success

GUEST POST from Art Inteligencia

In today’s hyper-competitive business landscape, the ability to innovate is no longer just a strategic advantage; it’s an imperative for survival. However, innovation is often seen as a mysterious, complex process that is difficult to manage or measure. Enter data-driven innovation—a methodology that combines the vast potential of data analytics with the creative processes of innovation to not only generate groundbreaking ideas but also validate and scale them effectively.

This article explores how organizations can leverage data to foster a culture of innovation, reduce risk, and ultimately achieve greater success. We’ll also dive into case studies of companies that have successfully utilized data-driven strategies to revolutionize their business models.

The Role of Data in Innovation

Data serves as the backbone of informed decision-making, offering insights that can guide businesses through the uncertainties of the innovation process. From identifying unmet customer needs to predicting future trends, data provides the actionable intelligence required for both incremental and disruptive innovation. By leveraging big data, businesses can:

  • Understand customer behavior and preferences more deeply.
  • Identify new market opportunities and emerging trends.
  • Enhance product development processes through insights.
  • Track and measure the impact of innovation initiatives.

Let’s explore two case studies of companies that have successfully harnessed data to drive innovation.

Case Study 1: Netflix’s Predictive Analytics in Content Creation

Netflix is a pioneering example of how data can be leveraged to innovate in the realm of content creation. The streaming giant utilizes data analytics not only to understand viewer preferences but also to predict future content success. Utilizing a plethora of data points such as viewing history, search queries, and ratings, Netflix makes informed decisions about which shows to produce or license.

One of the most notable examples of this strategic approach is the creation of the critically acclaimed series “House of Cards.” Netflix analyzed user data to determine that a political drama starring Kevin Spacey and directed by David Fincher would likely succeed. This data-driven gamble resulted in a highly popular show that garnered millions of views and set new standards for original programming.

Case Study 2: Amazon’s Use of Machine Learning for Customer Experience

Amazon is another prime example of leveraging data to foster innovation, particularly in customer experience. The e-commerce giant employs data-driven strategies to personalize the shopping experience, optimize pricing, and streamline operations.

Amazon’s recommendation engine, powered by robust machine learning algorithms, analyzes user behavior and purchase history to suggest products that customers are likely to buy. This not only enhances the customer experience but also boosts sales and customer loyalty. Furthermore, Amazon uses data from customer feedback and return patterns to innovate in product delivery and supply chain management, ensuring faster and more efficient service.

Conclusion

The integration of data into the innovation process has transformed how organizations develop and implement new ideas. By leveraging data strategically, businesses can reduce the risks associated with innovation, tailor their offerings to meet customer needs more effectively, and capitalize on new market opportunities. As technology progresses, those who embrace data-driven innovation will continue to thrive, pushing the boundaries of what is possible and setting new benchmarks for success.

Extra Extra: 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: Pexels

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Exploring the Potential of Biotechnological Advancements

Exploring the Potential of Biotechnological Advancements

GUEST POST from Chateau G Pato

In the rapidly evolving landscape of technological innovation, biotechnology stands out as a field ripe with transformative potential. These advancements are reshaping industries, redefining potential, and most importantly, centering on the human experience to enhance quality of life. Biotechnology bridges biology and technology, paving the way for transformative solutions in healthcare, agriculture, and numerous other sectors. In this article, we’ll explore some of the promising frontiers of biotechnological advancements and delve into two case studies that illustrate their potential impacts.

Biotechnology: Innovation at the Intersection of Science and Human Need

The power of biotechnology lies in its fusion of life sciences with technological prowess. Whether it’s through gene editing techniques like CRISPR, bioinformatics, synthetic biology, or regenerative medicine, biotechnology is offering solutions that could once only be imagined in the realm of science fiction. Let us examine two key areas where biotechnology is making significant strides:

  • Healthcare Innovation: From personalized medicine to regenerative therapies, biotechnology is pioneering new treatments and preventive strategies for diseases that have long eluded effective management.
  • Agricultural Transformation: Biotechnology is playing a crucial role in enhancing food security through the development of genetically modified organisms (GMOs) and sustainable agricultural practices.

Case Study 1: CRISPR and the Future of Gene Therapy

Perhaps the most talked-about biotechnological advancement in recent years is CRISPR-Cas9, a revolutionary gene-editing technology. This tool enables scientists to make precise alterations to DNA, offering the potential to cure genetic disorders and combat diseases at their root causes.

Consider the compelling work of a biotech company, Editas Medicine. Editas is leveraging CRISPR technology to pursue treatments for conditions like Leber Congenital Amaurosis (LCA), a rare genetic eye disease that leads to blindness. By editing the specific mutation in the gene responsible for LCA, Editas aims to restore vision in affected individuals. This represents not only a remarkable leap in treating an otherwise debilitating condition but also exemplifies the overarching impact CRISPR could have on numerous genetic disorders, revolutionizing the field of medicine.

Editas Medicine’s work marks a significant step toward the realization of personalized medicine, where treatments are tailored to the genetic profile of each patient, maximizing efficacy and minimizing adverse effects. This exemplifies technology’s profound potential to enhance quality of life by addressing specific human needs with scientific precision.

Case Study 2: Agricultural Biotechnology and Food Security

As global populations rise and climate change impacts arable land, biotechnological innovations are crucial in addressing food security challenges. Through the genetic modification of crops, biotechnology is playing a pivotal role in creating more resilient and higher-yielding varieties.

One outstanding example is the work being done at the International Rice Research Institute (IRRI) in the development of Golden Rice. This genetically modified variety of rice is biofortified with beta-carotene, a precursor to vitamin A, aiming to combat vitamin A deficiency in developing countries. This deficiency is a significant cause of childhood blindness and a contributor to increased morbidity and mortality rates.

Golden Rice illustrates biotechnology’s potential to produce nutrient-rich crops capable of improving public health outcomes on a significant scale. Additionally, with the integration of agronomic traits like resistance to pests and tolerance to environmental stresses, agricultural biotechnology provides a pathway to sustainable food production and safeguard against challenges posed by climate change.

Navigating Ethical Implications

While the potential of biotechnological advancements is vast, they come with profound ethical considerations. Gene editing, synthetic biology, and GMOs provoke questions about environmental safety, genetic diversity, and the moral implications of ‘playing God.’ As stakeholders in a future driven by these technologies, it is crucial to engage in transparent, inclusive dialogues that balance innovation with ethical responsibility.

Developing frameworks that ensure ethical oversight, public engagement, and equitable access to technological benefits is non-negotiable. By placing ethical considerations at the forefront, we ensure that biotechnology advances in a manner that is equitable, inclusive, and aligned with broader societal values.

The Path Forward

As thought leaders and innovators, our charge is to harness the power of biotechnology to address pressing human needs while championing responsible innovation. The case studies of CRISPR in gene therapy and Golden Rice in agricultural transformation offer aspiring visions of what biotechnology can achieve.

We stand at the cusp of a biotechnological renaissance, one that promises solutions to some of humanity’s most intractable challenges. By continuing to explore, innovate, and engage in responsible stewardship, we have the opportunity to enhance and extend human life while preserving the health of our planet.

As we advance, let us prioritize a human-centered approach, ensuring that these technological strides lead to a future where technology serves as an empowering force for all of humanity.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Liquid 3

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Innovative Applications of 5G Technology

Innovative Applications of 5G Technology

GUEST POST from Art Inteligencia

In the realm of communication and connectivity, 5G technology stands as a revolutionary advancement that promises to transform industries and enhance daily life in unprecedented ways. With its capabilities of ultra-low latency, increased capacity, and higher speeds, 5G is set to empower a new era in innovation. This article explores the innovative applications of 5G technology through the lens of two compelling case studies that highlight its transformative potential.

1. Smart Cities and Urban Connectivity

5G technology has taken the concept of smart cities from futuristic vision to practical reality. By facilitating seamless connectivity and the integration of thousands of devices, 5G enables urban centers to improve operational efficiency, reduce costs, and enhance the quality of life for residents.

Case Study: Barcelona’s Revolutionized Public Services

Barcelona, Spain, has become a pioneering example of a city leveraging 5G to enhance municipal services. Through strategic partnerships with technology providers, Barcelona implemented 5G-enabled smart lighting systems that automatically adjust based on real-time data of pedestrian movement and ambient light conditions. This has resulted in significant energy savings and reduced carbon emissions.

Moreover, 5G connectivity has enabled the deployment of smart waste management solutions, where bins equipped with sensors communicate their fill levels. This data facilitates optimized waste collection routes, decreasing logistical costs and minimizing the environmental impact.

What sets Barcelona apart is its use of 5G for augmented reality (AR) tourism applications. Visitors can now experience immersive guided tours, where historical data and interactive elements enhance their understanding of cultural landmarks in a dynamic manner. These innovations not only provide immediate economic and ecological benefits but also improve the overall quality of urban life by making the city more efficient and engaging.

2. Transforming Healthcare

In the healthcare sector, 5G’s impact is set to be revolutionary. The technology’s high-speed and reliable connectivity is paving the way for advancements in telemedicine, remote surgery, and patient monitoring, thus democratizing access to high-quality medical care.

Case Study: Remote Surgery in China

In January 2019, the world witnessed a groundbreaking application of 5G in healthcare. Surgeons in China successfully performed the first remote surgery on a patient situated hundreds of kilometers away, enabled by 5G’s ultra-reliable low latency communications (URLLC). Guided meticulously by precise, real-time data, a robotic arm executed the surgical procedure with a human surgeon directing it over a 5G connection.

This milestone demonstrated the potential to extend specialized surgical care to remote areas lacking in advanced medical facilities. Patients in rural or under-served regions could receive critical medical interventions without the need to travel to urban centers, reducing both the cost and the time involved in seeking specialized care. Surgeons can now execute complex procedures with precision, utilizing ultra-high definition video feeds and instantaneous data transfer capabilities afforded by 5G networks.

3. Entertainment and Immersive Experiences

The entertainment industry stands to gain enormously from 5G technology, especially in the realm of virtual reality (VR) and augmented reality (AR) experiences. These immersive technologies require high data transfer rates and low latency, both of which are forte of 5G.

Case Study: Enhanced Live Events with 5G

The music entertainment company Live Nation has been at the forefront of using 5G to enhance live event experiences. At select events, fans can access 360-degree concert footage from multiple camera angles, create personalized audio mixes, and interact with virtual replicas of performing artists in real-time, all supported by 5G connectivity.

This not only enhances the on-site experience but also opens up new avenues for remote attendees who, regardless of location, can experience concerts as if they were attending in person. This innovative application demonstrates 5G’s potential to revolutionize how we consume and interact with entertainment, paving the way for more personalized and engaging viewer experiences.

4. Future Prospects and Innovations

As 5G networks continue to expand globally, the horizon for innovative applications seems boundless. From advancing the Internet of Things (IoT) to facilitating autonomous transportation systems, 5G is instrumental in catalyzing essential developments across various sectors. By enabling robust and rapid communication between devices, it sets the groundwork for interconnected ecosystems and the seamless flow of data.

Future prospects include the widespread adoption of smart factories empowered by real-time analytics and enhanced automation, fortified by 5G infrastructure. The retail industry is set to witness transformations with tailored interactive shopping experiences facilitated over 5G networks, blending the physical and digital shopping landscapes.

5G technology is not just an incremental step in telecommunications; it is a paradigm shift that stands to dramatically transform society. With its multifaceted applications cutting across various sectors, it is poised to unlock unprecedented levels of innovation, efficiency, and quality of life improvements. These case studies are just the beginning of 5G’s revolutionary journey, and it will be thrilling to watch its evolution in the coming years.

Extra Extra: 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

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

A Brave Post-Coronavirus New World

A Brave Post-Coronavirus New World

GUEST POST from Greg Satell

In 1973, in the wake of the Arab defeat in the Yom Kippur war with Israel, OPEC instituted an oil embargo on America and its allies. The immediate effects of the crisis was a surge in gas prices and a recession in the west. The ripple effects, however, were far more complex and played out over decades.

The rise in oil prices brought much needed hard currency to the Soviet Union, prolonging its existence and setting the stage for its later demise. The American auto industry, with its passion for big, gas guzzling cars, lost ground to the emergent. The new consciousness of conservation led to the establishment of the Department of Energy.

Today the Covid-19 crisis has given a shock to the system and we’re at a similar inflection point. The most immediate effects have been economic recession and the rapid adoption of digital tools, such as video conferencing. Over the next decade or so, however, the short-term impacts will combine with other more longstanding trends to reshape technology and society.

Pervasive Transformation

We tend to think about innovation as if it were a single event, but the truth is that it’s a process of a process of discovery, engineering and transformation, which takes decades to run its course. For example, Alan Turing discovered the principles of a universal computer in 1936, but it wasn’t until the 1950s and 60s that digital computers became commercially available.

Even then, digital technology, didn’t really begin to become truly transformational until the mid-90s. By this time, it was well understood enough to make the leap from highly integrated systems to modular ecosystems, making the technology cheaper, more functional and more reliable. The number of applications exploded and the market grew quickly.

Still, as the Covid-19 crisis has made clear, we’ve really just been scratching the surface. Although digital technology certainly accelerated the pace of work, it did fairly little to fundamentally change the nature of it. People still commuted to work in an office, where they would attend meetings in person, losing hours of productive time each and every day.

Over the next decade, we will see pervasive transformation. As Mark Zuckerberg has pointed out, once people can work remotely, they can work from anywhere, which will change the nature of cities. Instead of “offsite” meetings, we may very well have “onsite” meetings where people from their home cities over travel to headquarters to do more active collaboration.

These trends will combine with nascent technologies like artificial intelligence and blockchain to revolutionize business processes and supply chains. Organizations that cannot adopt key technologies will very likely find themselves unable to compete.

The Rise of Heterogeneous Computing

The digital age did not begin with personal computers in the 70s and 80s, but started back in the 1950s with the shift from electromechanical calculating machines to transistor based mainframes. However, because so few people used computers back then—they were largely relegated to obscure back office tasks and complex scientific calculations—the transformation took place largely out of public view.

A similar process is taking place today with new architectures such as quantum and neuromorphic computing. While these technologies are not yet commercially viable, they are advancing quickly and will eventually become thousands, if not millions, of times more effective than digital systems.

However, what’s most important to understand is that they are fundamentally different from digital computers and from each other. Quantum computers will create incredibly large computing spaces that will handle unimaginable complexity. Neuromorphoic systems, based on the human brain, will be massively powerful, vastly more efficient and more responsive.

Over the next decade we’ll be shifting to a heterogeneous computing environment, where we use different architectures for different tasks. Most likely, we’ll still use digital technology as an interface to access systems, but increasingly performance will be driven by more advanced architectures.

A Shift From Bits to Atoms

The digital revolution created a virtual world. My generation was the first to grow up with video games and our parents worried that we were becoming detached from reality. Then computers entered offices and Dan Bricklin created Visicalc, the first spreadsheet program. Eventually smartphones and social media appeared and we began spending almost as much time in the virtual world as we did in the physical one.

Essentially, what we created was a simulation economy. We could experiment with business models in our computers, find flaws and fix them before they became real. Computer-aided design (CAD) software allowed us to quickly and cheaply design products in bits before we got down to the hard, slow work of shaping atoms. Because it’s much cheaper to fail in the virtual world than the physical one, this made our economy more efficient.

Today we’re doing similar things at the molecular level. For example, digital technology was combined with synthetic biology to quickly sequence the Covid-19 virus. These same technologies then allowed scientists to design vaccines in days and to bring them to market in less than a year.

A parallel revolution is taking in materials science, while at the same time digital technology is beginning to revolutionize traditional industries such as manufacturing and agriculture. The expanded capabilities of heterogeneous computing will accelerate these trends over the next few decades.

What’s important to understand is that we spend vastly more money on atoms than bits. Even at this advanced stage, information technologies only make up about 6% of GDP in advanced economies. Clearly, there is a lot more opportunity in the other 94%, so the potential of the post-digital world is likely to far outstrip anything we’ve seen in our lifetimes.

Collaboration is the New Competitive Advantage

Whenever I think back to when we got that first computer back in the 1980s, I marvel at how different the world was then. We didn’t have email or mobile phones, so unless someone was at home or in the office, they were largely unreachable. Without GPS, we had to either remember where things were or ask for directions.

These technologies have clearly changed our lives dramatically, but they were also fairly simple. Email, mobile and GPS were largely standalone technologies. There were, of course, technical challenges, but these were relatively narrow. The “killer apps” of the post-digital era will require a much higher degree of collaboration over a much more diverse set of skills.

To understand how different this new era of innovation will be, consider how IBM developed the PC. Essentially, they sent some talented engineers to Boca Raton for a year and, in that time, developed a marketable product. For quantum computing, however, it is building a vast network, including national labs, research universities, startups and industrial partners.

The same will be true of the post-Covid world. It’s no accident that Zoom has become the killer app of the pandemic. The truth is that the challenges we will face over the next decade will be far too complex for any one organization to tackle it alone. That’s why collaboration is becoming the new competitive advantage. Power will reside not at the top of hierarchies, but at the center of networks and ecosystems.

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

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

The Role of Quantum Computing in Future Innovations

The Role of Quantum Computing in Future Innovations

GUEST POST from Chateau G Pato

In today’s rapidly evolving technological landscape, innovation is not merely a competitive edge but a necessity. At the heart of future technological advancements lies quantum computing, an enigmatic yet revolutionary field teetering on the brink of mainstream viability. Quantum computing’s potential is vast, with the promise of transforming industries and solving complex problems deemed intractable by classical computers. This article delves into the role of quantum computing in future innovations, highlighting how this powerful technology is poised to reshape our world.

Understanding Quantum Computing

Quantum computing is a paradigm shift from classical computing. While classical computers encode information in binary bits (0s and 1s), quantum computers use quantum bits, or qubits. Through properties such as superposition and entanglement, qubits can perform calculations exponentially faster than classical bits.

Superposition allows qubits to exist in multiple states simultaneously, enabling quantum computers to process a vast number of possibilities at once. Entanglement, another fundamental property, allows qubits that are entangled to influence each other, no matter the distance separating them. These unique features enable quantum computers to tackle problems involving vast combinatorial spaces, optimization, and simulation tasks with unprecedented efficiency.

Potential Innovations Through Quantum Computing

The potential impact of quantum computing spans many sectors, including healthcare, finance, chemistry, logistics, and artificial intelligence (AI). Here, we explore several promising areas whereby quantum computing could drive future innovations:

  • Drug Discovery and Material Science: Quantum computing can simulate molecules at the quantum level, which allows researchers to understand interactions and reactivity better. This capability could lead to discovering new drugs and materials far faster than today’s time-consuming trial-and-error experiments.
  • Optimization Problems: Complex optimization scenarios exist in logistics, supply chain management, and financial modeling. Quantum algorithms, notably the Quantum Approximate Optimization Algorithm (QAOA), have the potential to solve these rapidly and with greater accuracy.
  • Cryptography and Security: Quantum computing challenges current cryptographic systems, threatening conventional encryption methods. However, it also provides pathways for creating potentially unbreakable encryption forms through quantum cryptography, like Quantum Key Distribution (QKD).

Case Study 1: Transforming Healthcare with Quantum Computing

In the healthcare industry, the pharmaceutical giant GlaxoSmithKline (GSK) is exploring quantum computing to revolutionize drug discovery. The traditional process of drug discovery is ineffably slow and expensive, often taking over a decade and costing billions to bring a new drug to market. Part of this immense challenge lies in correctly predicting how complex molecules will behave.

GSK has partnered with various quantum computing companies to accelerate molecular modeling and simulation tasks. By leveraging quantum algorithms, GSK can analyze how potential drug compounds interact with bodily proteins, simulating thousands, if not millions, of configurations. Early trials have demonstrated that this quantum-enhanced approach significantly reduces the time required for identifying viable compounds, thereby cutting down development times and costs drastically.

Case Study 2: Optimizing Global Logistics

World-leading logistics company DHL has embarked on quantum computing projects aiming to optimize its sprawling global operations. One significant challenge in logistics is route optimization under shifting conditions, a notoriously complex problem that classical approaches tackle slowly and often inefficiently.

DHL is piloting a quantum computing strategy to efficiently optimize supply chains and delivery routes, dramatically reducing fuel consumption and operational costs. By applying Quantum Approximate Optimization Algorithms in simulations, DHL identified optimal routes and strategies that would have been impossible with classical computers due to the sheer number of variables. Initial reports from pilot programs reveal savings of up to 15% in operational efficiency, showing the transformative potential when these quantum methodologies are applied at scale.

The Road Ahead

The journey towards fully realizing quantum computing’s potential is not without its challenges. Large-scale, error-free quantum computers are still in development, requiring photonic, trapped ion, and superconducting qubit technologies to advance. Despite these hurdles, steady progress is being made, with government and private sectors investing heavily in research and development.

Quantum computing holds the promise of reshaping many facets of modern life, driving a future brimming with groundbreaking innovations. While it may take time, its transformative power cannot be understated, pushing the boundaries of what’s possible in computing.

As we stand on the cusp of this quantum revolution, organizations must be strategic and foresighted, preparing to integrate quantum computing into their innovation roadmap. After all, in the realm of technology, those who embrace change and pioneer new frontiers set the stage for enduring leadership.

As we continue to explore and expand our understanding of quantum computing, we edge closer to a future where its immense potential is unleashed, driving innovation across domains and reshaping our world in unimaginable ways.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Innovative Approaches to Accessibility in Technology

Innovative Approaches to Accessibility in Technology

GUEST POST from Chateau G Pato

In the rapidly evolving landscape of technology, the importance of accessibility remains a crucial focus. As we advance into a world increasingly intertwined with digital tools and platforms, ensuring that all individuals, regardless of ability, can operate these technologies is more important than ever. Creating technology that is accessible not only serves those with disabilities but enriches the user experience for everyone. In this article, we explore innovative approaches to accessibility and offer insights into how companies are successfully integrating these strategies to create a more inclusive digital environment.

Redefining Accessibility

Traditional accessibility in technology often focused on compliance-driven adaptations, which, while necessary, sometimes missed the bigger picture of user experience and inclusivity. Innovative approaches begin with empathy and a deep understanding of diverse user needs, leading to solutions that are not only compliant but also delightful to use.

Universal Design Principles

Universal design, a concept originally from architecture, has transcended into the tech sphere, emphasizing that solutions should be usable by everyone to the greatest extent possible, without the need for adaptation. By applying universal design principles, designers and developers can create products that are inherently accessible right out of the gate. This approach fosters innovation as teams are challenged to think outside the box and create interfaces and interactions that are intuitive for all users.

Artificial Intelligence and Machine Learning

Advancements in artificial intelligence (AI) and machine learning (ML) are paving the way for more insightful accessibility solutions. AI can automate and enhance accessibility features such as voice recognition, real-time translation, and image recognition, thus opening new realms of possibility for people with disabilities. By training AI models on diverse and inclusive datasets, accessibility can become more personalized and responsive to individual user needs.

Case Study: Microsoft’s AI for Accessibility

Microsoft’s commitment to accessibility is prominently showcased through its ambitious “AI for Accessibility” program. Launched in 2018, the initiative invests in leveraging AI technologies to amplify human capabilities for those with disabilities, focusing on employment, daily life, and communication.

One of the flagship outputs of this initiative is the Seeing AI app, designed for visually impaired individuals. This app utilizes AI to narrate the world around the user using a smartphone camera, identifying objects, reading text, and recognizing faces. Seeing AI delivers on multiple fronts of accessibility, offering an intuitive user experience underpinned by cutting-edge technology.

“By augmenting human abilities with artificial intelligence, we can achieve more inclusive outcomes and ensure that technology empowers all users,” says Jenny Lay-Flurrie, Microsoft’s Chief Accessibility Officer.

Microsoft’s dedication to inclusive design highlights not just the potential of AI, but also the importance of a commitment across the organization. By fostering a culture of accessibility from leadership to product teams, companies can ensure that accessibility is not an afterthought but an integral part of the innovation process.

Case Study: Apple’s VoiceOver

Apple has long been a pioneer in integrating accessibility features directly into its products. VoiceOver, a screen reader built into iOS and macOS, is a prime example of innovation in this space. Unlike traditional screen readers, which are often third-party applications that must be purchased and installed separately, VoiceOver comes pre-installed and integrated deeply with the operating systems.

VoiceOver utilizes gesture-based navigation with touch commands on iOS devices, allowing visually impaired users to explore their devices in an intuitive manner. What makes VoiceOver particularly innovative is its synergy with Apple’s ecosystem, enhancing the overall accessibility across different devices, including Mac, iPhone, iPad, and Apple Watch.

This integrated approach has far-reaching implications for user empowerment and independence. It reflects Apple’s belief that accessibility should be central to the user experience, not a mere add-on. By equipping all of its devices with robust accessibility features, Apple ensures that users with disabilities have the tools they need to thrive in an increasingly digital world.

Design Thinking for Accessibility

Integrating accessibility into the design thinking process is crucial for creating solutions that truly meet user needs. This begins with empathy and understanding, engaging with people with disabilities in the research phases of product development. Through methods like journey mapping and prototyping with diverse populations, teams can uncover unique insights and innovate in ways that standard testing may not reveal.

Inclusive Testing and Feedback Loops

To ensure that accessibility is woven into the fabric of technology solutions, businesses must incorporate inclusive testing and feedback loops. Involving users with varying abilities in testing stages ensures that products are genuinely accessible and valuable. Continuous feedback loops enable organizations to iterate on their products, continuously refining and enhancing accessibility features.

Future Directions

As we forge ahead, the future of accessibility in technology is promising yet requires commitment from all stakeholders. Educating teams within organizations about the importance and techniques of accessibility will drive innovation. Furthermore, as technologies like augmented reality (AR) and virtual reality (VR) continue to evolve, they hold the potential to significantly enhance accessibility, creating immersive experiences that are accessible to all.

Moreover, as global connectivity increases, collaboration across industries and borders will be instrumental in developing universal accessibility standards. By working together, sharing knowledge, and championing inclusivity, we can cultivate a digital world where technology serves as a bridge to opportunity rather than a barrier.

Conclusion

The journey towards accessible technology is ongoing and demands an innovative mindset. By embracing emerging technologies, conducting empathetic research, and fostering inclusive design, we can create digital environments that are not only accessible but also empowering for all users. As technology leaders, it’s our responsibility to champion accessibility as a core value, ensuring that everyone has the opportunity to thrive in our connected world.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Unsplash

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Should You Have a Department of Artificial Intelligence?

Should You Have a Department of Artificial Intelligence?

GUEST POST from Arlen Meyers, M.D.

Several hospitals, academic medical centers and medical schools are creating artificial intelligence organizational centers, institutes and programs. Examples are Stanford, the University of Colorado , Children’s Hospital of Orange County and Duke.

If you are contemplating doing the same, think about what is the best organizational structure? There’s a lot of debate about where AI and analytics capabilities should reside within organizations. Often leaders simply ask, “What organizational model works best?” and then, after hearing what succeeded at other companies, do one of three things: consolidate the majority of AI and analytics capabilities within a central “hub”; decentralize them and embed them mostly in the business units (“the spokes”); or distribute them across both, using a hybrid (“hub-and-spoke”) model. We’ve found that none of these models is always better than the others at getting AI up to scale; the right choice depends on a firm’s individual situation.

(click link for image)

The decision will depend on:

  1. What problems are you trying to solve? Form follows function.
  2. What resources do you have? People, money, processes, intrastructure, IP protection?
  3. What is your level of digital transformation?
  4. What is the level of your organizational innovation readiness?
  5. What are the underlying hypotheses of your intrapreneurial business model canvas and what evidence to you have that they are valid?
  6. How will you overcome the barriers to dissemination and implementation?
  7. What processes do you have in place to scale?
  8. Do you have the right people?
  9. Do you have a culture of innovation silos and, if so, how will you break them down?

10. How will you measure results? Dr Anthony Chang, the co- founder of the American Board of Artificial Intelligence, suggests that the following are some helpful metrics to measure the artificial intelligence capabilities of the health system in the context of an individual AI project:

AI Project Score

The projects that involve machine learning and artificial intelligence, either clinical oradministrative, can be followed in stages (with each stage being scored 1 point each to a maximumof 5 points) and scored to keep track as well as maintain momentum:

Stage 1: Ideation. The project is first discussed and brought to a regular meeting for input from all stakeholders. This is perhaps the most important part of an AI project that is often not regularly done with enough discussion and consideration.

Stage 2: Preparation. After approval from the group, the data access and curation takes place in order to perform the ML/AI steps that ensue. The team should appreciate that this stage takes the most effort and will require sufficient resources.

Stage 3: Operation. After the data is curated and managed, this stage entails a collaborative effort during the feature engineering and selection process. Using the ML/AI tools, the team then creates the algorithms that will lead to the models that will be used later on in the project.

Stage 4: Presentation. Upon completion of the model with real world data, the project is presented in front of the group and depending on the nature of the project, it is either presented only or is also presented at a regional or national meeting or advanced to be published in a journal.

Stage 5: Implementation. Beyond the presentation and publication, it is essential for the AI project to be implemented in the real world setting using real world data. This project still requires continual surveillance and maintenance as model and data often fatigue.

11. Are you connected to the other parts of the healthcare AI ecosystem?

(click link for image)

12. Are you prepared to overcome the ethical, legal, social, economic and privacy issues?

Feeding the organizational beasts that are resistant to change is hard. They have an insatiable appetite. Be sure your pantry is well stocked.

Image credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

A New Frontier for Creative Innovation with AR and VR

A New Frontier for Creative Innovation with AR and VR

GUEST POST from Chateau G Pato

Welcome to the brave new world where pixels and reality dance together in a mesmerizing ballet, opening doors to creative innovation that is reimagining industries and how we engage with them. Yes, we’re talking about Augmented Reality (AR) and Virtual Reality (VR)—technologies that are no longer just for sci-fi fans or gaming geeks. They’re here, now, weaving transformative magic into the fabric of business. Let’s buckle up and explore this frontier where imagination meets implementation, shall we?

The New Magic Wand: AR and VR

Picture this: a universe where digital enhancements enrich the real-world view through your devices, be it your smartphone, tablet, or headgear. That’s AR for you—an innovative magic wand that’s augmenting our perception and interaction with our surroundings. Meanwhile, VR is a wonderland that immerses us wholly into a computer-generated environment, providing experiences that can span the spectrum from peaceful strolls in sun-dappled forest glades to interstellar voyages in distant galaxies.

AR and VR are not just kit and caboodle for entertainment. They’re catalysts for change, sparking innovation across enterprises. From reshaping marketing strategies to revolutionizing customer experiences and employee training, these technologies offer a sandbox of endless possibilities.

Case Study 1: Architectural Alchemy

The Visionary Architects

In a world where bricks and mortar meet bits and bytes, architecture firms are leveraging AR and VR to redefine how structures are designed and experienced before they’re even built. One such example is the ingenious firm “Skyline Wonders,” which has been pioneering the use of VR in architectural models. With VR headsets, clients can now walk through the melody of marble and glass of their future offices or homes before a single beam is erected. This immersive preview not only dazzles stakeholders but also allows designers to spot potential flaws and tailor designs to clients’ preferences with pinpoint accuracy.

But Skyline Wonders isn’t stopping at VR. They’ve augmented reality checklists for construction teams, which overlay blueprints on-site, ensuring precision in real-time. This hybrid of virtual and tangible realities fosters a seamless dialogue between concept and creation, reducing costly post-construction revisions and grounding fantastical designs in practical reality.

Case Study 2: Retail Renaissance

The Fashion Forward Retailer

Step into the world of “Style Savvy,” a trailblazing fashion retailer that’s turning the AR and VR trend into a new runway show. Their approach? Allowing customers to plunge into the fitting room of the future using their “Magic Mirror” VR experience. Amidst trying out stylish outfits without leaving home, customers are delighted as these virtual mirrors show not only fitting but also alter the environment’s mood lighting to match gown selections—hello, evening gala feels!

Moreover, Style Savvy’s AR app is like having a fashion consultant in your pocket. Customers can point their phone cameras at any item of clothing, and voilà—wardrobe compatibility data arrives, helping them avoid that regrettable paisley-on-stripes look. Not only does this enrich customer engagement, but it also positions Style Savvy as a beacon of tech-forward retail innovation, crafting personalized experiences that drive brand loyalty.

The Future is Here

Now, you might be wondering, is this a passing trend or a permanent evolution? AR and VR are becoming the new gizmos in the toolkit of tomorrow’s business. They aren’t just improving efficiencies or sprinkling a coat of ‘cool’ on our practices but entirely re-wiring the circuits of how business value is delivered and perceived.

As AR and VR technologies evolve, and as devices become more accessible and affordable, we’ll see increased adoption across more sectors. Whether it’s precision surgeries in healthcare, enhancing learning with immersive education platforms, or crafting unprecedented customer journeys in theme parks, the only real limit is our collective imagination.

Embrace the Pixels

As we straddle the divide between the physical and digital realms, businesses are encouraged to step into these digital paradigms poised to revolutionize how we perceive, interact, and innovate. The once clear lines between reality and fantasy blur into opportunities ripe for the picking. Companies that embrace these shifts not only bolster their innovative prowess now but carve out leadership positions in their respective industries for the future.

So, let’s fasten our headsets and step boldly onto this new stage, turning our imaginative dreams into a tangible reality where pixels transform practice. And remember, in the realm of AR and VR, we are all creators.

This article aims to provide an informative yet engaging exploration of AR and VR as tools for innovation, enhanced by illustrative case studies in architecture and retail. Let me know if there are any additional elements or revisions you’d like to see!

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Unsplash

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.