Category Archives: Technology

A New Age Of Innovation and Our Next Steps

A New Age Of Innovation and Our Next Steps

GUEST POST from Greg Satell

In Mapping Innovation, I wrote that innovation is never a single event, but a process of discovery, engineering and transformation and that those three things hardly ever happen at the same time or in the same place. Clearly, the Covid-19 pandemic marked an inflection point which demarcated several important shifts in those phases.

Digital technology showed itself to be transformative, as we descended into quarantine and found an entire world of video conferencing and other technologies that we scarcely knew existed. At the same time it was revealed that the engineering of synthetic biology—and mRNA technology in particular—was more advanced than we had thought.

This is just the beginning. I titled the last chapter of my book, “A New Era of Innovation,” because it had become clear that we had begun to cross a new rubicon in which digital technology becomes so ordinary and mundane that it’s hard to remember what life was like without it, while new possibilities alter existence to such an extent we will scarcely believe it.

Post-Digital Architectures

For the past 50 years, the computer industry—and information technology in general—has been driven by the principle known as Moore’s Law, which determined we could double the number of transistors on chips every 18 months. Yet now Moore’s Law is ending and that means we will have to revisit some very basic assumptions about how technology works.

To be clear, the end of Moore’s Law does not mean the end of advancement. There are a number of ways we can speed up computing. We can, for instance, use technologies such as ASIC and FPGA to optimize chips for specialized tasks. Still, those approaches come with tradeoffs, Moore’s law essentially gave us innovation for free.

Another way out of the Moore’s Law conundrum is to shift to completely new architectures, such as quantum, neuromorphic and, possibly, biological computers. Yet here again, the transition will not be seamless or without tradeoffs. Instead of technology based on transistors, we will have multiple architectures based on entirely different logical principles.

So it seems that we will soon be entering a new era of heterogeneous computing, in which we use digital technology to access different technologies suited to different tasks. Each of these technologies will require very different programming languages and algorithmic approaches and, most likely, different teams of specialists to work on them.

What that means is that those who run the IT operations in the future, whether that person is a vaunted CTO or a lowly IT manager, will be unlikely to understand more than a small part of the system. They will have to rely heavily on the expertise of others to an extent that isn’t required today.

Bits Driving Atoms

While the digital revolution does appear to be slowing down, computers have taken on a new role in helping to empower technologies in other fields, such as synthetic biology, materials science and manufacturing 4.0. These, unlike so many digital technologies, are rooted in the physical world and may have the potential to be far more impactful.

Consider the revolutionary mRNA technology, which not only empowered us to develop a Covid vaccine in record time and save the planet from a deadly pandemic, but also makes it possible to design new vaccines in a matter of hours. There is no way we could achieve this without powerful computers driving the process.

There is similar potential in materials discovery. Suffice it to say, every product we use, whether it is a car, a house, a solar panel or whatever, depends on the properties of materials to perform its function. Some need to be strong and light, while others need special electrical properties. Powerful computers and machine learning algorithms can vastly improve our ability to discover better materials (not to mention overcome supply chain disruptions).

Make no mistake, this new era of innovation will be one of atoms, not bits. The challenge we face now is to develop computer scientists who can work effectively with biologists, chemists, factory managers and experts of all kinds to truly create a new future.

Creation And Destruction

The term creative destruction has become so ingrained in our culture we scarcely stop to think where it came from. It was largely coined by economist Joseph Schumpeter to overcome what many saw as an essential “contradiction” of capitalism. Essentially, some thought that if capitalists did their jobs well, then there would be increasing surplus value, which would then be appropriated to accumulate power to rig the system further in capitalists favor.

Schumpeter pointed out that this wasn’t necessarily true because of technological innovation. Railroads, for example, completely changed the contours of competition in the American Midwest. Surely, there had been unfair competition in many cities and towns, but once the railroad came to town, competition flourished (and if it didn’t come, the town died).

For most of history since the beginning of the Industrial Revolution, this has been a happy story. Technological innovation displaced businesses and workers, but resulted in increased productivity which led to more prosperity and entirely new industries. This cycle of creation and destruction has, for the most part, been a virtuous one.

That is, until fairly recently. Digital technology, despite the hype, hasn’t produced the type of productivity gains that earlier technologies, such as electricity and internal combustion, did but actually displaced labor at a faster rate. Put simply, the productivity gains from digital technology are too meager to finance enough new industries with better jobs, which has created income inequality rather than greater prosperity.

We Need To Move From Disrupting Markets To Tackling Grand Challenges

There’s no doubt that digital technology has been highly disruptive. In industry after industry, from retail to media to travel and hospitality, nimble digital upstarts have set established industries on their head, completely changing the basis upon which firms compete. Many incumbents haven’t survived. Many others are greatly diminished.

Still, in many ways, the digital revolution has been a huge disappointment. Besides the meager productivity gains, we’ve seen a ​​global rise in authoritarian populism, stagnant wages, reduced productivity growth and weaker competitive markets, not to mention an anxiety epidemic, increased obesity and, at least in the US, decreased life expectancy.

We can—and must—do better. We can learn from the mistakes we made during the digital revolution and shift our mindset from disrupting markets to tackling grand challenges. This new era of innovation will give us the ability to shape the world around us like never before, at a molecular level and achieve incredible things.

Yet we can’t just leave our destiny to the whims of market and technological forces. We must actually choose the outcomes we prefer and build strategies to achieve them. The possibilities that we will unlock from new computing architectures, synthetic biology, advanced materials science, artificial intelligence and other things will give us that power.

What we do with it is up to us.

Image credit: Pixabay

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The Future of Education

Personalized Learning and EdTech Innovations

The Future of Education

GUEST POST from Chateau G Pato

In an era marked by rapid technological advancements, the educational landscape is undergoing a significant transformation. The traditional one-size-fits-all approach is being supplanted by personalized learning models bolstered by cutting-edge Education Technology (EdTech) innovations. This article explores these trends, shedding light on the future of education through two compelling case studies.

What is Personalized Learning?

Personalized learning tailors education to meet the unique needs, skills, and interests of each individual student. Unlike conventional methods, this approach leverages technology to adapt the educational experience dynamically.

  • Adaptive Learning Software: Programs that adjust to the learner’s pace and learning style.
  • Data Analytics: Tools that track progress and provide feedback to both students and teachers.
  • Customizable Content: Material that can be altered to meet the specific needs of each learner.

EdTech Innovations Driving Personalized Learning

Several key innovations in the EdTech space are paving the way for personalized learning:

  • Artificial Intelligence (AI): Facilitates adaptive learning environments by continually analyzing student performance.
  • Virtual and Augmented Reality (VR/AR): Provides immersive experiences that can enhance understanding and retention.
  • Blockchain: Ensures secure and transparent record-keeping for credentials and educational achievements.
  • Gamification: Incorporates game mechanics to make learning more engaging and enjoyable.

Case Study: Khan Academy

Khan Academy exemplifies the successful integration of personalized learning and EdTech innovation. Founded in 2008, the platform offers free, world-class education through a model that adapts to the learning pace of each student.

Key Features:

  • Personalized Dashboards: Allow learners to track their own progress and identify areas for improvement.
  • Mastery Learning: Emphasizes mastering a topic before moving on, ensuring comprehensive understanding.
  • Interactive Exercises: Provide instant feedback to help learners correct mistakes and reinforce concepts.

The impact of Khan Academy is evident in its widespread adoption and the improvement of student performance in various subjects, particularly in underserved regions.

Case Study: Coursera & AI-driven Learning

Another noteworthy example of personalized learning is Coursera, which utilizes AI to offer courses tailored to the needs and skills of its users. Launched in 2012, Coursera has become a global leader in online learning.

Key Features:

  • AI-Powered Recommendations: Suggest courses based on learner behavior and preferences.
  • Peer Reviews and Forums: Facilitate community-based learning and enhance understanding through discussion.
  • Flexible Learning Paths: Allow learners to customize their educational journey according to their needs.

Coursera’s AI-driven approach not only personalizes the learning experience but also democratizes access to high-quality education irrespective of geographical constraints.

Challenges and Considerations

While the future of personalized learning and EdTech is promising, several challenges must be addressed:

  • Digital Divide: Ensuring equitable access to technology for all students.
  • Data Privacy: Safeguarding sensitive learner information.
  • Teacher Training: Equipping educators with the skills necessary to effectively integrate technology in their teaching practices.

Conclusion

The future of education is undoubtedly bright, driven by personalized learning models and innovative EdTech solutions. As evidenced by platforms like Khan Academy and Coursera, these advancements have the potential to revolutionize the way we learn, making education more accessible, customizable, and effective. However, realizing this vision will require concerted efforts to overcome existing challenges and ensure that these technologies benefit all learners globally.

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.

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The Rise of Sustainable and Eco-Friendly Practices in Shaping the Future of Business

The Rise of Sustainable and Eco-Friendly Practices in Shaping the Future of Business

GUEST POST from Art Inteligencia

In today’s rapidly evolving business landscape, sustainability and eco-friendliness have emerged as critical determinants of success. Companies across the globe are recognizing the urgent need to align their practices with environmental stewardship. This article delves deep into how sustainable and eco-friendly practices are shaping the future of business, supported by compelling case studies.

The Imperative of Sustainability

The pressing need for sustainability is no longer a topic of debate but a widespread acknowledgment across industries. Climate change, resource depletion, and increasing consumer awareness have created a demand for businesses to operate responsibly.

  • Regulatory Pressure: Governments are implementing stringent regulations, pushing companies to adopt sustainable practices.
  • Investor Focus: Investors are increasingly prioritizing Environmental, Social, and Governance (ESG) criteria, which impacts investment decisions.
  • Consumer Demand: Modern customers prefer brands that demonstrate a commitment to environmental and social responsibility.

Case Study 1: Patagonia – The Gold Standard in Sustainability

Patagonia, a renowned outdoor apparel company, stands as a prime example of how sustainability can drive business success and foster brand loyalty.

Key Initiatives:

  • Environmental Advocacy: Patagonia has been an unwavering advocate for environmental protection, donating 1% of its sales to environmental organizations since 1985.
  • Worn Wear Program: This initiative encourages customers to buy used Patagonia products and trade in their old clothing for store credit, promoting a circular economy.
  • Responsible Manufacturing: Patagonia ensures that its manufacturing processes comply with eco-friendly and ethical standards, significantly reducing its carbon footprint.

By seamlessly integrating sustainability into its brand ethos, Patagonia has achieved remarkable success. The company has not only cultivated a fiercely loyal customer base but also inspired other businesses to follow suit.

Case Study 2: Unilever – Leading with Purpose

Unilever, a global consumer goods giant, has demonstrated that sustainability can coexist with profitability. The company’s Sustainable Living Plan, initiated in 2010, aims to decouple its growth from its environmental footprint while increasing its positive social impact.

Key Initiatives:

  • Sustainable Sourcing: Unilever places a strong emphasis on sourcing raw materials sustainably. For instance, the company sources 100% of its palm oil from certified sustainable sources.
  • Reduction in Carbon Emissions: Unilever employs energy-efficient technologies and renewable energy sources to significantly reduce its carbon emissions.
  • Health and Wellbeing: The company’s initiatives extend beyond environmental sustainability. Unilever continually works to improve the health and wellbeing of its consumers through its products.

Unilever’s comprehensive approach to sustainability has not only benefited the environment but also led to business growth. The brands under Unilever’s umbrella that are recognized for their strong sustainability profiles, such as Dove and Ben & Jerry’s, have consistently outperformed others in terms of growth and profitability.

The Road Ahead

The journey towards sustainability is ongoing, but companies that embrace eco-friendly practices gain a competitive edge. The clear advantages include:

  • Brand Differentiation: Sustainable practices set businesses apart in saturated markets.
  • Cost Efficiency: Resource efficiency and waste reduction lead to long-term cost savings.
  • Attracting Talent: Employees are increasingly drawn to companies with strong sustainability commitments.
  • Future-Proofing: Sustainable practices mitigate risks associated with resource scarcity and regulatory changes.

Conclusion

The rise of sustainable and eco-friendly practices signifies a paradigm shift in the way businesses operate. Companies like Patagonia and Unilever exemplify how integrating sustainability into the core of business strategy can drive long-term success and create positive environmental and social impact. As we look to the future, it is evident that sustainability is not merely an option but a business imperative that will shape the future of industries globally.

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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AI Has Already Taken Over the World

AI Has Already Taken Over the World

by Braden Kelley

I don’t know about you, but it’s starting to feel as if machines and Artificial Intelligence (AI) have already taken over the world.

Remember in primary school when everyone tried really hard to impress, or even just to be recognized by, a handful of cool kids?

It’s feeling more and more each day as if the cool kids on the block that we’re most desperate to impress are algorithms and artificial intelligence.

We’re all desperate to get our web pages preferred over others by the algorithms of Google and Bing and are willing to spend real money on Search Engine Optimization (SEO) to increase our chances of ranking higher.

Everyone seems super keen to get their social media posts surfaced by Facebook, Twitter, Instagram, YouTube, Tik Tok, and even LinkedIn.

In today’s “everything is eCommerce” world, how your business ranks on Google and Bing increasingly can determine whether you’re in business or out of business.

Algorithms Have Become the New Cool Kids on the Block

According to the “Agencies SEO Services Global Market Report 2021: COVID-19 Impact and Recovery to 2030” report from The Business Research Company:

“The global agencies seo services market is expected to grow from $37.84 billion in 2020 to $40.92 billion in 2021 at a compound annual growth rate (CAGR) of 8.1%. The market is expected to reach $83.7 billion in 2025 at a CAGR of 19.6%.”

Think about that for a bit…

Companies and individuals are forecast to spend $40 Billion trying to impress the alogrithms and artificial intelligence applications of companies like Google and Microsoft in order to get their web sites and web pages featured higher in the search engine rankings.

The same can be true for companies and individuals trying to make a living selling on Amazon, Walmart.com and eBay. The algorithms of these companies determine which sellers get preferred placement and as a result can determine which individuals and companies profit and which will march down a path toward bankruptcy.

And then there is another whole industry and gamesmanship surrounding the world of social media marketing.

According to BEROE the size of the social media marketing market is in excess of $102 Billion.

These are huge numbers that, at least for me, demonstrate that the day that machines and AI take over the world is no longer out there in the future, but is already here.

Machines have become the gatekeepers between you and your customers.

Be afraid, be very afraid.

(insert maniacal laugh here)

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Space is the Next Frontier for Human Civilization

Space is the Next Frontier for Human Civilization

GUEST POST from Art Inteligencia

The allure of the cosmos has long captivated humanity. From ancient stargazers who charted the heavens to modern scientists crafting spacecraft capable of interstellar travel, the quest to explore space is embedded in our DNA. Space exploration transcends mere curiosity; it’s the next frontier for human civilization. This article delves into this incredible journey, featuring two significant case studies and exploring the profound implications for our future.

The Imperative for Space Exploration

Economic Growth

  • Technological Innovation: Space exploration demands cutting-edge technology, often resulting in groundbreaking innovations that trickle down into everyday life.
  • Resource Acquisition: Asteroids and other celestial bodies are rich in precious metals and minerals, representing a potentially astronomical economic boon.

Human Survival

  • Overpopulation Solutions: As Earth’s population continues to climb, space colonies could offer an alternative living solution.
  • Global Catastrophe Mitigation: Space exploration can serve as a contingency plan against terrestrial disasters, providing alternative habitats.

Scientific Knowledge

  • Fundamental Discoveries: Understanding celestial phenomena can unravel cosmic mysteries, offering insights into the origins and fate of the universe.
  • Medical Advancements: Space medicine will develop new techniques and technologies that can be applied to healthcare on Earth.

Case Study 1: The International Space Station (ISS)

The Genesis of Collaboration

One of the most remarkable achievements in space exploration is the International Space Station (ISS). This ambitious project is a collaboration between NASA, Roscosmos, JAXA, ESA, and CSA, exemplifying international cooperation.

Technological Marvel

The ISS is not just a floating laboratory; it is a marvel of engineering. It serves as a perfect platform for scientific research in microgravity, conducting experiments that couldn’t be carried out on Earth.

Impact on Earth

Numerous technologies developed for the ISS have been adapted for Earth-bound use. From water purification systems benefiting arid regions to medical devices that enhance patient care, the ISS has significantly influenced global technological progress.

Case Study 2: Mars Exploration by NASA’s Perseverance Rover

Interplanetary Exploration

NASA’s Perseverance Rover represents the epitome of human ingenuity aimed at exploring Mars. Launched in 2020, this robotic scientist is designed to search for signs of ancient life while collecting vital data that will inform future manned missions.

Technological Advancements

Perseverance is equipped with groundbreaking technologies, like the MOXIE instrument, which produces oxygen from the Martian atmosphere. Such advancements are crucial for sustaining human life on Mars and other celestial bodies.

Broader Implications

The data collected by Perseverance offers endless possibilities for future missions and serves as a stepping stone for further exploration. Its success will potentially pave the way for human colonization of Mars, opening up new avenues for research and habitation.

Conclusion

Space exploration represents the pinnacle of human ambition and innovation. With the continued success of collaborations like the ISS and groundbreaking missions like NASA’s Perseverance Rover, the possibilities are limitless. As we stand on the cusp of this new frontier, the economic, scientific, and existential benefits underscore the imperative to push the boundaries of what’s possible. The next frontier for human civilization isn’t just above us; it’s the cosmic expanse that awaits our curiosity and courage.

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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Revolutionizing Education with Augmented Reality

Unlocking New Learning Experiences

Revolutionizing Education with Augmented Reality

GUEST POST from Chateau G Pato

Education has always been a key driver of progress, equipping individuals with knowledge and skills to thrive in a rapidly evolving world. Traditional methods of teaching are now being challenged by new technologies that have the potential to transform education as we know it. One such powerful tool is Augmented Reality (AR). By merging digital content with real-world environments, AR creates immersive learning experiences that captivate students’ attention and enhance their understanding. This article explores the remarkable potential of AR in revolutionizing education, with two compelling case studies that demonstrate its transformative impact.

Case Study 1: Anatomy lessons come to life with AR

One of the most challenging subjects for students to grasp is human anatomy. With its complex structures and interconnections, textbooks and diagrams often fall short in truly conveying the intricacies of the human body. However, AR has the ability to bridge this gap by enabling students to visualize and interact with detailed 3D models.

In a recent study conducted in a medical school, students were provided with AR-enabled devices to study human anatomy. By simply pointing their devices at a person, a virtual overlay of the body’s internal systems appeared before their eyes. Students were able to explore the skeletal, muscular, and circulatory systems in real-time, zoom in to examine specific organs, and even observe the effects of diseases on the body. This interactive and hands-on approach not only deepened their understanding but also made learning anatomy an engaging and memorable experience.

The use of AR in anatomy education has shown tremendous potential to revolutionize the field. Students can now have access to 3D models and virtual dissection tools, enabling them to learn at their own pace and explore topics in greater detail. Additionally, AR encourages collaboration and peer-to-peer learning as students can interact with the same virtual models simultaneously, fostering a more dynamic and enriching learning environment.

Case Study 2: Historical landmarks are brought to life

History has long been regarded as a subject that relies heavily on imagination and interpretation. Students often struggle to truly grasp the significance and historical context of landmarks and artifacts. AR has emerged as a game-changer in this regard, enabling students to travel back in time and witness historical events in a way that traditional textbooks cannot.

In a high school history class, students were introduced to AR experiences that brought famous historical landmarks to life. By using AR-enabled smartphones or tablets, students could explore ancient ruins, walk through virtual reconstructions of historical sites, and interact with virtual historical figures. For instance, standing in front of the ancient pyramids of Egypt, students could witness the construction process and visualize the grandeur of these ancient wonders. By immersing themselves in historical environments, students developed a deeper connection with the subject matter and a heightened sense of empathy towards the people who lived in those times.

The implementation of AR in history classes holds immense potential. Not only does it make learning engaging and captivating, but it also encourages critical thinking, analysis, and contextual understanding. Moreover, the use of AR can democratize access to historical sites, providing students with the opportunity to experience distant landmarks that may be inaccessible to them.

Conclusion

As education evolves to meet the needs of the digital age, Augmented Reality has emerged as a powerful tool in revolutionizing learning experiences. Through the integration of AR in subjects like anatomy and history, students can explore and understand complex concepts in a more engaging and immersive manner. These case studies demonstrate how AR can deepen students’ knowledge, stimulate their curiosity, and foster collaboration.

While AR undoubtedly holds great promise, its successful implementation in education requires careful consideration. Human-centered design principles should guide its development and implementation, ensuring that AR enhances the learning process, rather than becoming a mere novelty. By embracing AR’s potential, we have the opportunity to unlock a new era of education where students can engage, explore, and learn in ways that were once unimaginable. Let us seize this opportunity to revolutionize education and equip the next generation with the tools they need to thrive in an ever-evolving world.

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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How AI is Revolutionizing Workplace Productivity

The Future of Work

The Future of Work: How AI is Revolutionizing Workplace Productivity

GUEST POST from Art Inteligencia

As the world rapidly embraces technological advancements, Artificial Intelligence (AI) is emerging as a transformative force in reshaping the future of work. From automating mundane tasks to augmenting human capabilities, AI is revolutionizing workplace productivity. This thought leadership article explores the profound impact of AI on the future of work, focusing on two noteworthy case studies that highlight its potential to enhance efficiency, creativity, and collaboration in diverse industries. By understanding these examples, we can proactively adapt and capitalize on the benefits AI brings to drive productivity in our own professional lives.

Case Study 1: Manufacturing and Supply Chain

AI has ushered in a new era of productivity in the manufacturing and supply chain industry. Traditional labor-intensive processes have been streamlined, optimized, and made more efficient through the implementation of AI-driven technologies. One such example is the global conglomerate General Electric (GE), which integrated AI-powered robots into their production lines to automate repetitive tasks. The introduction of AI reduced production time, decreased error rates, and increased overall process efficiency. This augmentation of human labor with AI resulted in improved workplace productivity and allowed employees to focus on more complex and strategic tasks. By embracing AI, GE demonstrated that automation, when applied thoughtfully, can be a powerful tool for transforming the workplace and optimizing productivity.

Case Study 2: Creative Industries and Content Creation

AI is making significant strides in enhancing productivity within creative industries. Companies like Adobe have leveraged AI to streamline content creation processes, saving valuable time and boosting creativity. Through their AI-powered platform, Adobe Sensei, they enable automated image and video analysis, simplifying time-consuming editing tasks. For instance, content creators can now rely on AI algorithms to auto-generate complex graphics, suggesting potential enhancements based on design trends and user preferences. By alleviating repetitive design work, professionals can focus on higher-value creative decision-making, resulting in greater productivity and improved output quality. This integration of AI in creative industries demonstrates the synergy between human ingenuity and AI-driven automation, empowering professionals and stimulating their creative potential.

The Future of Work: AI as a Collaborative Partner

While the aforementioned case studies highlight the profound impact of AI on workplace productivity, it is essential to recognize that AI’s role is not limited to automation alone. The future of work lies in collaborative synergy between humans and AI, with AI serving as an intelligent partner rather than a complete replacement. By leveraging AI’s capabilities, professionals can amplify their creative thinking, problem-solving skills, and strategic decision-making. AI can effortlessly analyze vast amounts of data, making predictions and suggesting insights that humans might overlook. As a result, professionals can focus on leveraging their unique human skills, such as empathy, critical thinking, and relationship building. By adopting AI as an augmenting ally, professionals in various industries can unlock unprecedented levels of productivity and innovation.

Conclusion

AI is undoubtedly revolutionizing workplace productivity, as showcased by the case studies in manufacturing and supply chain management, as well as creative industries. The transformative potential of AI lies in augmenting human capabilities, automating mundane tasks, and facilitating informed decision-making. By embracing AI as a collaborative partner, professionals can free up time, optimize their performance, and focus on high-value tasks that leverage their unique talents. As the future of work unfolds, it is imperative for human-centered professionals to actively embrace and adapt to AI, harnessing its power to revolutionize workplace productivity for the betterment of society.

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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The Rise of Telemedicine

A Game-Changer in Healthcare Access

The Rise of Telemedicine

GUEST POST from Art Inteligencia

In recent years, the advancement of technology has revolutionized various sectors, and healthcare is no exception. Telemedicine, the practice of using digital communication technologies to provide remote medical care, is rapidly emerging as a game-changer in enhancing healthcare access. By bridging geographical barriers and minimizing logistical challenges, telemedicine has the potential to transform the way we receive medical treatment. This article explores the rise of telemedicine and presents two case studies to demonstrate its impact on improving healthcare access for both urban and rural populations.

Case Study 1 – Urban Accessibility: Dr. Smith’s Virtual Clinic

In bustling urban areas, long wait times, traffic congestion, and limited availability of quality healthcare professionals tend to be common issues. Dr. Michelle Smith, a general practitioner based in a metropolitan city, recognized these challenges and decided to launch a virtual clinic utilizing telemedicine.

By leveraging video conferencing platforms and mobile applications, Dr. Smith was able to connect with her patients remotely. Patients were able to schedule virtual appointments, receive consultations, and even share diagnostic reports or lab results with her through secure online platforms. To further personalize the experience, Dr. Smith integrated wearable devices and health monitoring tools to remotely track her patients’ vital signs and symptoms.

The implementation of telemedicine not only eliminated the need for patients to travel long distances, but it also reduced waiting times significantly. Additionally, Dr. Smith could effectively manage a larger patient base, providing healthcare services beyond the traditional office hours. As a result, her clinic experienced increased patient satisfaction, improved health outcomes, and reduced overall healthcare costs.

Case Study 2 – Rural Access Enhancement: The Texas Telehealth Initiative

In remote rural areas, access to healthcare services is often limited due to the scarcity of healthcare facilities and healthcare professionals. The Texas Telehealth Initiative demonstrates how telemedicine has tackled these challenges and improved healthcare access.

The initiative aimed to provide comprehensive healthcare services to rural communities across Texas through a network of telemedicine clinics. Patients living in isolated rural areas could now consult with specialists located in urban cities without the need for long journeys or expensive travel arrangements.

For instance, a patient suffering from a cardiological condition in a small town could remotely access a cardiologist in a big city for both diagnosis and treatment recommendations. Implementing high-definition video conferencing systems, medical professionals could examine patients virtually, review their medical history, and make accurate assessments. Moreover, real-time collaboration between specialists reduced the chances of misdiagnosis and improved treatment outcomes.

By reducing the barriers caused by geographical distance, the Texas Telehealth Initiative effectively enhanced healthcare access in rural communities. Patients who previously faced limited services or were compelled to travel long distances for specialized care could now receive top-notch medical attention from the comfort of their local clinic. This initiative undoubtedly resulted in improved patient outcomes, higher patient satisfaction, and reduced healthcare costs for both patients and healthcare organizations.

Conclusion

The rise of telemedicine presents a unique opportunity to transform healthcare access for vast numbers of individuals. As demonstrated by the aforementioned case studies, telemedicine offers immense potential in improving accessibility for both urban and rural populations. By leveraging digital communication technologies, healthcare professionals can overcome geographical barriers, reduce waiting times, and optimize the utilization of healthcare resources.

However, it is essential to ensure the responsible and ethical integration of telemedicine into existing healthcare systems. Policymakers, regulators, and healthcare providers must collaborate to establish clear guidelines, address privacy concerns, and tackle potential technical challenges. Only through careful planning and implementation can telemedicine truly transform healthcare access worldwide, making quality healthcare available to everyone regardless of their geographical location.

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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Preparing for the Next Phase of Climate Crisis

Adapt Or Die

Preparing for the Next Phase of Climate Crisis

GUEST POST from Robert B. Tucker

As a futurist, I monitor a broad spectrum of trends, from demographic to technological to social and geopolitical. When it comes to climatological trends, I rely on forward thinking researchers like Rich Sorkin, who is helping institutions prepare for what the UN Intergovernmental Panel on Climate Change (IPCC) calls the “irreversible” impacts of climate disasters ahead.

Sorkin is chairman, CEO, and co-founder of Silicon Valley-based Jupiter Intelligence, a “climate risk startup” that helps companies gauge the level of threat to their assets, whether power plants, factories, or data centers. Jupiter diverged from the “how-do-we-mitigate-climate-change” debate and recognized that climate change would almost certainly get much worse before it gets better. Sorkin and his team of scientists and experts began thinking about preparedness. They focused on how organizations, governments and businesses could better understand, and then manage the risks that climate change was increasingly going to deliver.

Rich Sorkin is a serial company founder, investor, and one-time research assistant to Yale economist William Nordhaus, who won a Nobel prize for his work on climate change. Sorkin’s previous companies pioneered the use of satellite data and scalable cloud computing to predict weather events for commodity traders. He was CEO of Zip2, a pioneering internet company purchased by HP that made him a multi-millionaire in his 30s. Jupiter uses its proprietary, model-driven projections of future temperature, rainfall, wildfires, and other risks to assist governments, banks, insurance companies, and investment firms in making better decisions about adapting to climate change.

In a recent interview, I asked Sorkin about the UN IPCC’s (United Nations’ Intergovernmental Panel on Climate Change) recently released report on how the climate crisis may be approaching a tipping point much sooner than expected even five years ago. He also discusses what businesses and governments can and must do to become “future-ready.” Here are edited excerpts from our conversation:

Tucker: Nice to be speaking with you, Rich. Your company, Jupiter Intelligence, is experiencing a 10-fold increase in business as the threat from extreme weather seems to grow almost by the day. You were quoted in the Washington Post saying that, because of the Pandemic, people are asking about what else is out there coming at us that we’re not worrying about that we should be worrying about? With all the flooding, wildfires and environmental disasters happening now, doing a startup that addresses the issue of climate change preparedness seems like a no-brainer. But back in 2016, perhaps not so much. What drove the founding of Jupiter?

Sorkin: The key insight was that climate change had already started to impact assets such as factories, power plants, buildings, and water supply. Climate change was already affecting continuity of operations and health and safety. At that time, the people that were thinking about climate change were focused on the extremely important, but vastly different topic of how to slow climate change. We decided to focus on how climate change was already having an impact that would continue to get worse. We expected many organizations to ask the question, “What is our organization going to do about that?” That led to Jupiter, and our focus on forward looking assumptions replacing the legacy backward looking assumptions that underpin so much of the banking, insurance, industrial and national security sectors.

Tucker: Let me ask you about this notion of a possible climate change tipping point. At least one insurance company declared bankruptcy as a result of the massive Paradise Fire in California; we saw a huge power utility – PG&E – declare bankruptcy after being blamed for starting fires, and we’re seeing properties along the coast have stopped appreciating, according to a University of Pennsylvania study. And we’re seeing the IPCC, BlackRock, McKinsey, and the Commodities Futures Trading Council, among others, issue alarming reports regarding the possibility of total collapse of the financial and insurance system if assets such as flood-prone factories and millions of dollars in coastal real estate become no longer insurable.

Sorkin: In a lot of ways, this is like the pandemic. If the world had done nothing – no vaccines, no emergency approvals, no advanced purchases, no mobility restrictions, no PPEs for health care workers, no education – things would have been vastly worse. But in the case of the pandemic, collectively, messily, often chaotically and in uncoordinated ways, the world did respond. Humanity faces the same choice with climate change. Simultaneously go after the root causes – mostly emissions from Chinese coal, Russia’s, Iran’s and Exxon’s oil and gas, and other similarly well-known sources — and adapt given that it is too late to avoid some severe consequences. The question now is simply how bad things will get, and how quickly.

Tucker: The IPCC report that just came out calling climate change “irreversible” makes your decision to start Jupiter back in 2016 seem prescient. How did you know there would be a market for your services?

Sorkin: When we started Jupiter, investors asked, “How will you know there’s a real market” and we responded, “When McKinsey tells all their clients that this is important.” That happened almost two years ago. Now the real drivers of change are the institutional shareholders behind the Task Force on Climate-related Financial Disclosure (TCFD), including Mike Bloomberg, Mark Carney, and Curtis Ravenal, the Bank of England, increasingly the U.S. Federal Reserve, and very quietly MITI in Japan. Change is definitely coming quickly – albeit not fast enough to avoid even more severe consequences than we are facing today. The world will see a Darwinian mix of adapters and laggards. Likely places such as Singapore, Israel, the UAE, and Japan will be world leaders in this area because each has their own combination of country size, technocratic leadership, well-understood vulnerabilities and strong central governments.

Tucker: Jupiter is a collection of “quants” (quantitative analysts) and scientists from NOAA and the National Science Foundation, combined with Fortune 100 business executives. You’ve got machine learning experts and even a Nobel Prize winner on the team. But what’s in your black box? What makes your gauges better than what’s available already?

Sorkin: Well, first of all, we are absolutely not a black box. Our customers receive whatever level of disclosure they request – including hundreds of pages of documentation for Model Risk Management functions that are fundamental parts of the banking and insurance businesses. But we do have a hundred trillion pre-calculated data points for climate risks all over the planet across different perils, time horizons, climate scenarios etc. And when I say all over the planet, I mean the entire land surface of the planet, not selective locations. Our customers basically get a subscription to a specific volume of data of their choice. And there’s a price that’s based on volume. The higher the volume, the lower the per unit price. And we have distribution channels; it’s a simple plain vanilla subscription business. There’s nothing unusual about our business model.

Tucker: Are businesses doing enough to prepare for climate risk? A headline in the Wall Street Journal this morning (July 22, 2021) was titled “Palm Beach Beachfront Homes are Booming.” Prices and sales volumes are hitting record highs. Yet studies project that oceans will rise an average of two feet by 2045. What goes on in your mind when you read headlines like that? What do you sense will happen in South Florida?

Sorkin: We just completed some work on risks for that area, using a different approach than looking out at 2045 or 2050, which is historically the analytical timeframe. And when we saw the results, they were even worse than we thought they would be in terms of what it said about Florida real estate in the near term.The tipping point for Florida real estate is much closer than most people realize. We’ve discussed this with the city of Miami, Miami-Dade County, Broward County, and some of the United States’ largest lenders and insurers. And yet, in the spirit of adapt or die, the destiny of Florida is up to the people of Florida and the United States. I think many people are short-sighted and it could lead to catastrophe. Jupiter’s predictions on sea-level rise are consistent with mainstream science and best, worst and likely case climate scenarios.

Tucker: What did your report come up with that was so inflammatory?

Sorkin: Without planning and investment, a hellscape will be upon Florida – and much sooner than most people realize, 5, 10, 15 years from now. The big question is what investments will be made in Miami-Dade and Broward Counties. I’d give 250 billion dollars to Jennifer Jurado or Jim Murley in South Florida with total discretion on how to invest in resilience. That’s probably enough. Without something like that, and quickly, South Florida faces vastly worse challenges much sooner than nearly everyone realizes.

Tucker: What businesses and industries are most vulnerable to climate change?

Sorkin: The initial impacts are directly on weather-vulnerable, mission-critical industries with concentrated assets. You mentioned the PG&E fire catastrophe. We saw something similar in February 2021 with the shut-down of the Texas power grid, and the impact on the petrochemical sector and health care system. In certain regions, like California, Texas, Florida, Spain, Italy, and Japan the power sector is incredibly vulnerable and must dramatically increase and accelerate their investment. Investors with concentrated risk in these or similar regions in real estate, lending and insurance are very exposed but likely have a bit longer. And the impacts can sometimes be subtle – cold took out the Texas grid, heat can take out a region, and some people believe that the Fukushima Diachi Nuclear Disaster was a result of the compound impacts of the tsunami, sea level rise, and insufficient planning and investment.

Tucker: What do all these threats do to the insurance industry?

Sorkin: The insurance industry is actually way more impacted by this than the banking sector because insurance markets will collapse if the risk is not covered. Most people think this should be an immediate issue for the insurance industry. Counterintuitively, it’s not. Insurance is repriced every year. And when there’s a bad year for losses of insurance, they just raise prices. So, something that might happen in 10 years is not really a day-to-day concern in most of the insurance industry. However, if the risk is inaccurately conveyed in the signal insureds get from their insurance pricing, they make bad investment decisions, underinvesting in resilience for the duration of the asset by focusing on short term risk. In this sense, the insurance business model is literally breaking the world. This dynamic should be a medium-term existential issue for the insurance industry and the Chief Risk Officers of some of the world’s largest primary insurance companies are aware of – and in some cases terrified – by this dirty little secret.

Tucker: Is the threat of future climate disaster as great for the banking sector?

Sorkin: In banking the typical mortgage is 30 years and the typical hold period of a mortgage is seven to 12 years. If the collateral is impaired because of weather related damage, it affects both repayment and the value of the collateral and therefore the riskiness of the loan. And it also impacts repayment where accelerated repayment is a bad consequence for banks in many instances. So, there’s a much more profound impact on banking on these longer-term risks than there is in the short term on insurance.

Tucker: Is the traditional actuarial model used by the insurance industry adequate when the climate of the future seems to be so uncertain?

Sorkin: The entire global insurance industry is using an out-of-date approach to modeling that is conceptually broken in a world where the climate is changing this rapidly. If you get people in the insurance industry to talk about it in terms of what they really think versus what they need to say to protect their reputations, there are people that will acknowledge this. It’s actually quite a hard problem because their risk models are kind of like the engine in the car. They’re not the whole car. But they’re a big piece of the car and they’ve got to replace the engine while driving. They don’t want to do it, and it’s going to take years to do it.

Tucker: What about the construction industry? How does a business know how resilient it will need to build a structure to withstand weather 10 or 20 years from now?

Sorkin: Let’s say you’re building a power plant near the Gulf of Mexico. It’s obviously going to be exposed to flooding and wind risks from hurricanes like we saw with Hurricane Harvey. But what about extreme cold, like we saw in Texas this past winter? And extreme heat and extreme drought and many other issues too, all of which are becoming more challenging for asset owners of all kinds. But here’s the good news: this is actually a relatively straightforward issue to address. When designing a power plant or a hotel or a military base or a hospital or putting in new power lines – it doesn’t matter what it is – what matters is how important, expensive, long-lived, and vulnerable that structure is. Traditionally, at the beginning of the design process, the engineers will ask: what should we design this to be resilient to? They might say one foot of flooding or a one in 10,000 chance of fire or that the temperature will be so cold that we’ll have to shut the facility down. Those are straightforward assumptions. But if they only look backwards, in a world where the climate is changing this rapidly, the assumptions are going to be wrong. They must use what we the industry calls forward-looking assumptions.

Tucker: What exactly is a forward-looking assumption and how do you derive one?

Sorkin: Most weather-risks are calculated today based on statistical models from past impacts, or losses. Companies like RMS assume that the present and future look like the past. However, that’s simply wrong, so their entire modeling infrastructures are based on fundamentally flawed assumptions. Forward looking assumptions recognize that in some places the wind is getting stronger, the rain and or temperature patterns are changing, and the sea level is rising. Jupiter’s modeling approach is built from the foundation based on this fundamental assumption.

Tucker: I saw a fire chief in a helicopter on the NBC Nightly News the other evening who commented, ‘All of our models are out the window. These fires are hotter than we’ve ever experienced and burn more acres than ever once they get going’. He might have added that storms are wetter and stronger and point to how many climate records have been smashed in the last few years. My question is, was that fire chief right? Are all models out the window? And why are Jupiter’s models really any better than the old ones that rely on history? And don’t your models have to depend on history as well?

Sorkin: Instead of using backward looking, out of date assumptions, Jupiter uses forward looking assumptions that incorporate the best available science. So, as a bit of an oversimplification, there are two types of models: Historically, there are the risk models that are used in the insurance industry. And the second are the engineering models that are used in things like construction. As discussed in your earlier question, risk models in the insurance industry almost always look at past history and they say the future is going to look like the past – so in this sense the vast majority of models that people like the fire chief, and the Department of Defense, and most large banks use should indeed be thrown out the window. Replace those obsolete, misleading models with models that do the best job possible describing what risk looks like in the present and future. The future won’t look like the past, the present doesn’t even look like the past.

Tucker: Jupiter helps organizations navigate in this era when predicting is obviously more difficult. Can you walk us through how you helped a particular client?

Sorkin: Sure. We have one customer that had a $300 million facility that they were finally about to break ground on that was designed about 10 years earlier. This is not uncommon because the whole process of designing and permitting takes a while. And they hadn’t looked at forward conditions in their original design. Now that they were going to break ground, they were already 10 years out of date with backward looking assumptions for an asset with a 30 to 50-year design life. Luckily somebody inside the company said, ‘maybe that’s not such a good idea’. I say ‘luckily’ because they were going to have major resilience problems and not in 30 years but in five to 10 years. So they looked at a few scenarios. One was to move the facility outright to another location. And two others involved hardening the facility. And it turned out that was way better than moving the facility. There were so many costs associated with moving the facility that an extra $30 million in capex to harden the facility, which is essentially a 10% increase on the original cap ex budget, was the economically rational decision. And in that particular case, the subscription for that particular use case for this one location was about $300,000. So a $300,000 analytics investment drove a $30 million capex increase of 10 percent on a $300 million investment. And everyone’s happy. But if they hadn’t done that, they would’ve just built it the old way. And they would have had ongoing reputational risk and fines for lack of continuity of service.

Tucker: It would almost seem that the speed of climate change is exceeding all the assumptions we were making just a few years ago. And if we wait for governments or companies to slow it down, we will be in for a rude shock. Do you have some sort of metric that charts what we thought would happen and when it would happen with the acceleration of when it actually did happen, and what that does to strategic planning going forward?

Sorkin: The evidence shows that scientists’ predictions of global warming have been accurate in the big picture, but perhaps conservative in predicting the rapidity and ferocity with which some of its consequences are unfolding. We’re part of an ecosystem of experts and leaders who work in this field. Jesse Keenan, who’s an advisor to Jupiter, was co-editor of the CFTC report. There’s a lot of really great thinking on this issue and Jupiter is quite good at integrating the people that are in the ecosystem in related areas into what we’re doing. The CFTC report was in large part based on work that the Bank of England has been doing for five, 10 years, originally by Mark Carney. The economist, Nick Stern, author of the Stern report that’s the basis of much if not all of the Bank of England work, is a co-founder and one of Jupiter’s investors. I was a research assistant in the 1980s at Yale to William Nordhaus who later won the Nobel prize in economics for his work on climate change. So, this is not a new topic for the economics or banking professions or for me personally.

Tucker: What kind of a grade would you give the scientific community overall for accuracy in predicting how this issue will unfold?

Sorkin: Generally speaking the scientific community has been at least as good and arguably vastly better on these issues than economists predicting central bank interest and GDP growth rates, or Moody’s predicting default risk leading up to the Global Financial Crisis, or the insurance industry predicting earthquakes in Haiti or pandemics. The scientific community has been quite accurate for decades in predicting the concentration of CO2 in the atmosphere – a primary driver of the impacts of climate change. For the most part, the scientists have also been quite accurate in predicting the impacts of CO2 in the atmosphere – particularly with scenarios of what could occur. In the business community we think of these scenarios as best, worst, and likely case. And in the scientific community, they call these scenarios things like SSP5-8.5 (SSP shared socio-economic pathway, with little weighting of the likelihood of multiple plausible scenarios.

Tucker: So how likely is this notion of a sudden rude shock leading to a collapse?

Sorkin: Well, I have a slightly different way of thinking about this, which is: Darwin always wins, or more specifically adapt or die.

Tucker: Yet we don’t seem to want to invest in preparation till after the crisis wreaks devastation. I wanted to get your take on what happened in Texas in February 2021. The winter storm plunged large swaths of Texas into subfreezing temperatures and overwhelmed the state’s electricity infrastructure, causing massive power outages. Nearly 4.5 million Texas homes and businesses in Texas went days without power. Fifty-seven people died. I read where Texas was advised to weatherize their infrastructure, but they never got around to it. What’s your take? Was this a case of using history to build a faulty model or was it lack of will to weatherize their power grid?

Sorkin: Problems like the power grid failure in Texas don’t come from a single issue. Jupiter did a post-mortem on the February Freeze and concluded that if ERCOT (Electrical Reliability Council of Texas) and the power companies had been using forward looking risk models and paying attention to the results, they would have made better investment decisions. The fact that the ERCOT Board resigned indicates that at least some people thought ERCOT was negligent in not doing so. However, the bigger question is why that happened. Many of the largest oil companies in the world are headquartered in Texas – and some have been promoting inaccurate views of climate change to consumers, voters, and elected officials in Texas and Washington. Texas is at the heart of institutional denial about climate change, and on top of that the approach to low regulation means that most of the actors were not accountable for their decisions until the problem was so big no one could ignore it. The U.S. may actually need more of the Japanese tradition of Seppuku to address these kinds of issues.

Tucker: Given the foot-dragging, do you think this thing could blow up at the extinction level?

Sorkin: I actually don’t think we’re going to have a mass failure at an extinction level. This is not like an asteroid that permanently changes the weather instantaneously for a million years. It’s not like that; it’s slow moving. It’s like cancer. If you catch most forms of cancer early enough with the current state of medical knowledge, most cancer patients will live a very good, long life. But if you wait until it’s stage four and it’s all over the body, well, all bets are off.

Tucker: So you’re not seeing extinction, but what about economic collapse. That study we mentioned earlier, done by the Commodity Futures Trading Commission called “Managing Climate Risk in the Financial System” concluded that the costs of wildfires, storms, droughts and floods spread through insurance and mortgage markets, pension funds and other financial institutions, threatens to collapse U.S. financial markets. How probable is such a collapse? What would collapse look like if it were to happen?

Sorkin: The primary drivers of whether this planning and investment will occur are investors, governments and voter-consumers. Plenty of other people have discussed collapse in this scenario – most likely it will vary depending on physical vulnerability, willingness to invest, and government competence. In the best case, it will be very expensive – and in the worst case some countries will collapse.

Tucker: Your client base is global. What countries are doing the best job of adapting so far?

Sorkin: If I had to bet on the places that will be very successful in adapting, I would put Singapore, Japan, UAE and Israel at the top of the list. Now this isn’t saying anything about the relative vulnerability faced by any of those three nations. Singapore and Japan actually have quite a bit of vulnerability relative to peer nations. Israel, some, but not nearly as much. Among Europe, the United States and China, it’s a gigantic horse race for who’s currently doing the worst job. The Germans and the Norwegians, probably the British, maybe the Chinese, could go either way, as far as I can tell. There are some things that the Chinese make a priority and they do a good job at, and there are other things that aren’t a priority and they don’t do any job. And the United States is a super messy case given the political football and decentralized decision-making on the issue, which currently is favorable but could flip at any time.

Tucker: In the United States, who is doing a good job adapting to climate change?

Sorkin: New York under Mike Bloomberg was doing a phenomenal job. Now they’re not even in the top half. I would say probably South Florida, which is in some respects ground zero. It has among the best public sector leadership on these issues anywhere in the world. But the voters don’t support what the public sector is saying are urgent priorities. And if the voters don’t support taxes or regulations or building code changes or inspections, basically what you get is Surfside…buildings collapsing and over a hundred people dead. Now, eventually people wake up to that and I think South Florida ultimately will get it right. But a lot more bad things are going to happen in South Florida before they get it right.

Tucker: Bill Gates, in his new book “How to Avoid a Climate Disaster,” talks a lot about innovation in this sector. As an entrepreneur who has commercialized new technologies in several fields, do you keep an eye on climate related innovation? Technologies, such as better batteries, machines and processes that store carbon or suck it back out of the atmosphere, there are some potentially promising inventions coming. As you monitor these technologies, what is the rate of mitigation efforts and innovation compared with the increase in CO2 being pumped into the atmosphere?

Sorkin: It’s all speculation. No one really knows. The prudent thing is to work for the best mitigation possible and plan for much worse.

Tucker: When that condominium building collapsed in Surfside Florida, did that have anything to do with a changing climate?

Sorkin: Very possible. Jeff Goodell wrote a book about South Florida called, “The Water Will Rise.” And one of the things that he wrote about was how saltwater intrusion undermines the foundations of buildings and is getting worse due to climate change driven sea level rise. For decades the Miami Herald has been writing about corruption in building inspections in South Florida. And it’s almost certain that one, or both, of those contributed to the Champlain Towers coming down. It was horrific and likely so unnecessary.

Tucker: Taking a step back from all the details of running a startup having to do with a changing climate, what is your emotional state these days? I mean you’ve proved yourself many times over in the business world, and yet you’re dealing with the potential undoing of the world as we knew it. Are you generally optimistic or just the opposite?

Sorkin: I would say that I am generally optimistic with periodic moments of despair.

Tucker: Tell me about the despair. How long does it last, does it go on for days or weeks before the sun comes out on your mood?

Sorkin: I have a foundational view of humanity that is a very important context. If you look at the last 5,000 years of history, generally speaking, human life has gotten better: more freedom, more health, longer lives, more education, more literacy, more rights for non-elites. But within that 5,000 years of history, really bad things occasionally happen. The Global Pandemic is still raging in many parts of the world. Three global conflicts in 150 years. Dictatorships replacing democracy left and right. So while bad things do happen in the sweep of history, the sweep of history is generally positive. When I talk about moments of despair, it’s because some of the problems the world is facing are because of people doing things that are just so colossally stupid. How could they not see that they’re literally contributing to their own misfortune with these very short-sighted decisions.

Tucker: And yet we all continue not making the tough decisions, and to call climate change a hoax and think it will impact people in years to come. How do you think this thing will play out?

Sorkin: Well, if you hit someone in the head with a two-by-four long enough, they either collapse and pass out or they make some effort to stop getting hit. I think there will be progress. It will be too slow and not enough, and a lot of people will die or suffer grievous misfortune as a result. But the progress will come. While the water will rise, adaptation will ultimately occur. But it will be uneven and, tragically, the people that are least able to respond will be the worst impacted. It’s just like what we saw with COVID, it’ll be the exact same dynamic with climate. But when you’re down to adapt or die, most people will eventually adapt.

This article originally appeared in Forbes
Image credit: Pexels

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What is your sickcare technology burnout impact factor (BIF)?

What is your sickcare technology burnout impact factor (BIF)?

Guest Post from Arlen Meyers

A group of former and current providers convened recently to discuss how digital transformation can be both contributing to and alleviating burnout.

Technofatigue, innovation fatigue and change fatigue are as ubiquitous as the Delta variant in unvaccinated people.

It’s time for sickcare delivery organizations to demand a burnout impact statement from vendors as part of the vetting, piloting and implementation process. We should call a time out to deal with the systemic causes of sickcare professional burnout attributable to technology.

John Elkington coined the “Triple Bottom Line” of People, Planet and Profit (also known as the 3Ps, TBL or 3BL). Up to today it is still gaining popularity and it has become part of everyday business language. All reason to be satisfied, one would think. However, despite its increasing popularity, Elkington has “recalled” the 3BL in a short article in Harvard Business ReviewThe reason, so we can extract from his comments, is the rhetorical misuse of the framework as an accounting and reporting tool, while profit still remains center stage.

There are many tools to measure the specific impact on people, planet and profits of a specific intervention.

The environmental impact statement (EIS) is a government document that outlines the impact of a proposed project on its surrounding environment. In the United States, these statements are mandated by federal law for certain projects. Environmental impact statements are meant to inform the work and decisions of policymakers and community leaders.

The Economic Impact Analysis (EIA) tool shows how your community health project’s spending on staff, supplies, equipment, and other expenses benefits your community. The EIA Tool can be used by any community health organization wanting to understand how its activities affect the community.

The burnout impact statement (BIS) would likewise outline the impact of a proposed digital health project on sickcare stakeholders, particularly end user sickcare professionals.

Some useful parts of the BIS process would include:

  1. A national BIS database
  2. An evidence based registry of results
  3. Including the BIS as a KPI during pilots
  4. Mandatory input by end users during the evaluation and vetting stages by care innovation centers
  5. A standardized pre and post pilot/implementation measurement tool
  6. A BIS adverse events reporting system
  7. A BIS risk management evaluation and mitigation strategy
  8. A patient engagement and communications strategy to clarify expectations about when, how and who will respond to electronic requests for information
  9. Reimbursement and payment for electronic communications and a new revenue model for responding to them. You pay more for same day delivery from Amazon don’t you?
  10. Creating third parties as data and information delivery managers or a data concierge service

If you are not burned out, digital health will probably make you cooked but not fried. Sorry, but EMRs were only the start. The bad news of the BIS requirement, though, is we would have to hire even more MD/MBAs, who left practice because they were burned out by technology, to manage all of this.

Image credit: Pixabay

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