SwissCognitive Guest Blogger: Samir Anil Jumade – “The Relentless Tide of Technological Disruption: Are You Ready?”

The world is evolving at an unprecedented pace, driven by rapid technological advancements. Many industries that once seemed invincible have either vanished or are on the verge of collapse due to their failure to adapt. The rise of artificial intelligence (AI), automation, blockchain, and digital platforms is fundamentally reshaping how businesses operate.

In this article, we explore how past giants like Kodak and Nokia disappeared, how today’s industries are facing a similar existential crisis, and how individuals and businesses must prepare for this inevitable transformation.

The Rise and Fall of Industry Giants

Remember Kodak? In 1997, they employed 160,000 people and dominated the photography market, with their cameras capturing 85% of the world’s images. Fast forward a few years, and the rise of mobile phone cameras decimated Kodak, leading to bankruptcy and the loss of all those jobs. Kodak’s story isn’t unique. A host of once-dominant companies, like HMT, Bajaj, Dyanora, Murphy, Nokia, Rajdoot, and Ambassador, failed to adapt and were swept aside by the relentless tide of technological change. These weren’t inferior products; they simply couldn’t evolve with the times.

This isn’t just a nostalgic look back. It’s a stark warning. The world is changing faster than ever, and we’re on the cusp of another massive transformation – the Fourth Industrial Revolution. Think about how much has changed in the last decade. Now imagine the next ten years. Experts predict that 70-90% of today’s jobs will be obsolete within that time frame. Are we prepared?

Look at some of today’s giants. Uber, the world’s largest taxi company, owns no cars. Airbnb, the biggest hotel chain, owns no hotels. These companies, built on software and connectivity, are disrupting traditional industries and redefining how we live and work. This disruption is happening across all sectors.

Consider the legal profession. AI-powered legal software like IBM Watson can analyze cases and provide advice far more efficiently than human lawyers. Similarly, in healthcare, diagnostic tools can detect diseases like cancer with greater accuracy than human doctors. These advancements, while offering immense potential benefits, also threaten to displace a significant portion of the workforce.

The automotive industry is another prime example. Self-driving cars are no longer science fiction; they’re a rapidly approaching reality. Imagine a world where 90% of today’s cars are gone, replaced by autonomous electric or hybrid vehicles. Roads would be less congested, accidents drastically reduced, and the need for parking and traffic enforcement would dwindle. But what happens to the millions of people whose livelihoods depend on driving, car insurance, or related industries?

Even the way we handle money is transforming. Cash is becoming a relic of the past, replaced by “plastic money” and, increasingly, mobile wallets like Paytm. This shift towards digital transactions offers convenience and efficiency, but also raises questions about security, privacy, and the future of traditional banking.

From STD Booths to Smartphones: A Revolution in Communication

Think back to the time when STD booths lined our streets. These public call offices were once essential for long-distance communication. But the advent of mobile phones sparked a revolution that swept STD booths into obsolescence. Those who adapted transformed into mobile recharge shops, only to be disrupted again by the rise of online mobile recharging. Today, mobile phone sales are increasingly happening directly through e-commerce platforms like Amazon and Flipkart, further highlighting the rapid pace of change.

The Evolving Definition of Money

The concept of money itself is undergoing a radical transformation. We’ve moved from cash to credit cards, and now mobile wallets are gaining traction. This shift offers convenience and efficiency, but it also has broader implications. As we move towards a cashless society, we need to consider the potential impact on financial inclusion, security, and privacy.

The Message is Clear: Adapt or Be Left Behind

The message is clear: adaptation is no longer a choice; it’s a necessity. We must embrace lifelong learning and upskilling to navigate this rapidly changing landscape. We need to foster creativity, critical thinking, and problem-solving skills – qualities that are difficult for machines to replicate. The future belongs to those who can innovate, adapt, and thrive in a world increasingly shaped by technology. The question is: will you be ready?

Additional Points to Consider:

· The environmental impact of technological advancements, both positive and negative.

· The ethical considerations surrounding AI and automation.

· The role of government and education in preparing the workforce for the future.

· The potential for new industries and job roles to emerge. By staying informed and proactive, we can harness the power of technology to create a better future for all.

References:

1. D. Deming, P. Ong, and L. H. Summers, “Technological Disruption in the Labor Market,” National Bureau of Economic Research, Working Paper No. 33323, Jan. 2025.
2. K. Hötte, M. Somers, and A. Theodorakopoulos, “Technology and Jobs: A Systematic Literature Review,” arXiv preprint arXiv:2204.01296, Apr. 2022.
3. D. Acemoglu and P. Restrepo, “Assessing the Impact of Technological Change on Similar Occupations,” Proceedings of the National Academy of Sciences, vol. 119, no. 40, e2200539119, Oct. 2022.
4. D. Acemoglu and P. Restrepo, “Occupational Choice in the Face of Technological Disruption,” National Bureau of Economic Research, Working Paper No. 29407, Oct. 2021. 5.S. Y. Lu and R. Zhao, “Artificial Intelligence for Data Classification and Protection in Cross-Border Transfers,” IEEE Transactions on Big Data, vol. 7, no. 3, pp. 536-545, 2021.

About the Author:

Samir Jumade is a passionate and experienced Blockchain Engineer with over three years of expertise in Ethereum and Bitcoin ecosystems. As a Senior Blockchain Engineer at Woxsen University, he has led innovative projects, including the Woxsen Stock Exchange and Chain Reviews, leveraging smart contracts, full nodes, and decentralized applications. With a strong background in Solidity, Web3.js, and backend technologies, Samir specializes in optimizing transaction processing, multisig wallets, and blockchain architecture.

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SwissCognitive Guest Blogger: Shivi Gupta – “Who Owns the Sound? AI in Music and the Legal Landscape”

Attending a live gig, enjoying the music from your favourite artist or band? What if it can come to your couch, with the feeling that they are performing right there in front of you? But hey, who is producing the music? Is it AL or Al

The creation is revered, but more than the creation, the creators are worshipped. Recently, Sony, Universal, and Warner have sued Suno and Udio (GenAI music startups), claiming copyright infringement in training models, to protect the artists affiliated with these giants.

Major record labels are protecting their clients, the artists, the great ones who produce music that can rarely be replicated. But in the day and age of generative AI or (GPT Generative Pretrained transformer), music is also replicated by machine learning algorithms to make songs sound like the original creators.

As one of the popular web3 music websites Unchainedmusic.io wrote in their article “Deepfake vocal synthesizers, an innovation in AI technology, can make a singer’s voice sound like a famous artist. Under English and EU law, it is unlikely that a style of singing, whether generated through deep learning, AI or vocal imitation, is protectable by copyright. However, other forms of intellectual property, such as passing off, may be relevant in some jurisdictions.”

There is no common universal law against intellectual property, and most countries have their own rules, copyrights, patents. Any commercial use begets a request or a permission from the creator who owns the intellectual property of their voice.

Problem:

All music can be created eclectically with different styles, lyrics and genres. GenAI music might saturate the market with more and more music generated by machine learning algorithms.

Possibility:

Music lovers will rely on humans creating songs as it has the emotional factor, the timber, tone, pitch, stretch, diction, accent are some of the unique human characteristics which helps us being empathetic and understanding of the singer’s mindset.

Probability:

These AI created songs will be used by ad companies and video editors to feature a product or sell a service with an attractive UX.

Musicians will continue creating great records and go on tours, and fill stadiums.

Editors, marketers, sales representatives will use GenAI music in elevators, advertisements, branding, showcase of their products and services. The GenAI music will complement the product *-as-a-service.

Proposed Solution:

Follow rules created by the countries in which these AI tools are used. For classical music the law states that as mentioned by edwardslaw.ca “it covers original literary, dramatic, musical, and artistic works of authorship. This is during the lifetime of the author, the remainder of the calendar year in which the author dies, plus 70 additional years (the Canadian copyright lifespan recently increased from 50 to 70 years in June of 2022). Once this term expires, the work becomes public domain. “ So works from Beethoven, Mozart et al. can be performed in public without permission or paying a fee – royalty free. So any music which has been recorded prior to 1974 can be used since it has entered the public domain, but if you have the London symphony orchestra uploaded their recording of Beethoven’s symphony number 5, one can’t use that without the permission from the orchestra.

For example this particular youtube video can’t be reused without BBC’s permission:

More on copyright of voices: “According to Herndon, much of vocal mimicry comes down to personality rights. “You cannot copyright a voice, but an artist retains exclusive commercial rights to their name and you cannot pass off a song as coming from them without their consent,” she wrote in a recent Twitter thread, citing previous legal cases related to vocal impersonation.”

More about ethics in AI.

About the Author:

Shivi Gupta is a  passionate data scientist and full-stack developer, working in the industry for over a decade. An AI expert navigating through the world of real vs generated content. With a focus on ethics , he creates websites, mobile applications, chatbots all powered by AI.

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SwissCognitive Guest Blogger: Zachary Amos – “How Countries Are Using AI to Predict Crime”

A world where police departments can predict when, where and how crimes will occur seems like something from a science fiction novel. Thanks to artificial intelligence, it has become a reality. Already, countries are using this technology to forecast misconduct.

How Do AI-Powered Crime Prediction Systems Work?

Unlike regular prediction systems — which typically use hot spots to determine where and when future misconduct will be committed — AI can analyze information in real time. It may even be able to complete supplementary tasks like summarizing a 911 call, assigning a severity level to a crime in progress or using surveillance systems to tell where wanted criminals will be.

A machine learning model evolves as it processes new information. Initially, it might train to find hidden patterns in arrest records, police reports, criminal complaints or 911 calls. It may analyze the perpetrator’s demographic data or factor in the weather. The goal is to identify any common variable that humans are overlooking.

Whether the algorithm monitors surveillance camera footage or pours through arrest records, it compares historical and current data to make forecasts. For example, it may consider a person suspicious if they cover their face and wear baggy clothes on a warm night in a dark neighborhood because previous arrests match that profile.

Countries Are Developing AI Tools to Predict Crime

While these countries don’t currently have official AI prediction tools, various research groups and private police forces are developing solutions.

• United States

Violent and property crimes are huge issues in the United States. For reference, a burglary occurs every 13 seconds — almost five times per minute — causing an average of $2,200 in losses. Various state and local governments are experimenting with AI to minimize events like these.

One such machine learning model developed by data scientists from the University of Chicago uses publicly available information to produce output. It can forecast crime with approximately 90% accuracy up to one week in advance.

While the data came from eight major U.S. cities, it centered around Chicago. Unlike similar tools, this AI model didn’t depict misdemeanors and felonies as hot spots on a flat map. Instead, it considered cities’ complex layouts and social environments, including bus lines, street lights and walkways. It found hidden patterns using these previously overlooked factors.

• South Africa

Human trafficking is a massive problem in South Africa. For a time, one anti-human trafficking non-governmental organization was operating at one of the country’s busiest airports. After the group uncovered widespread corruption, their security clearance was revoked.

At this point, the group needed to lower its costs from $300 per intercept to $50 to align with funding and continue their efforts. Its members believed adopting AI would allow them to do that. With the right data, they could save more victims while keeping costs down.

Some Are Already Using AI Tools to Predict Crime

Governments have much more power, funding and data than nongovernmental organizations or research groups, so their solutions are more comprehensive.

• Japan

Japan has an AI-powered app called Crime Nabi. The tool — created by the startup Singular Perturbations Inc. — is at least 50% more effective than conventional methods. Local governments will use it for preventive patrols.

Once a police officer enters their destination in the app, it provides an efficient route that takes them through high-crime areas nearby. The system can update if they get directed elsewhere by emergency dispatch. By increasing their presence in dangerous neighborhoods, police officers actively discourage wrongdoing. Each patrol’s data is saved to improve future predictions.

Despite using massive amounts of demographic, location, weather and arrest data — which would normally be expensive and incredibly time-consuming — Crime Nabi processes faster than conventional computers at a lower cost.

• Argentina

Argentina’s Ministry of Security recently announced the Artificial Intelligence Applied to Security Unit, which will use a machine learning model to make forecasts. It will analyze historical data, scan social media, deploy facial recognition technology and process surveillance footage.

This AI-powered unit aims to catch wanted persons and identify suspicious activity. It will help streamline prevention and detection to accelerate investigation and prosecution. The Ministry of Security seeks to enable a faster and more precise police response.

• South Korea

A Korean research team from the Electronics and Telecommunications Research Institute developed an AI they call Dejaview. It analyzes closed-circuit television (CCTV) footage in real time and assesses statistics to detect signs of potential offenses.

Dejaview was designed for surveillance — algorithms can process enormous amounts of data extremely quickly, so this is a common use case. Now, its main job is to measure risk factors to forecast illegal activity.

The researchers will work with Korean police forces and local governments to tailor Dejaview for specific use cases or affected areas. It will mainly be integrated into CCTV systems to detect suspicious activity.

Is Using AI to Stop Crime Before It Occurs a Good Idea?

So-called predictive policing has its challenges. Critics like the National Association for the Advancement of Colored People argue it could increase racial biases in law enforcement, disproportionately affecting Black communities.

That said, using AI to uncover hidden patterns in arrest and police response records could reveal bias. Policy-makers could use these insights to address the root cause of systemic prejudice, ensuring fairness in the future.

Either way, there are still significant, unaddressed concerns about privacy. Various activists and human rights organizations say having a government-funded AI scan social media and monitor security cameras infringes on freedom.

What happens if this technology falls into the wrong hands? Will a corrupt leader use it to go after their political rivals or journalists who write unfavorable articles about them? Could a hacker sell petabytes of confidential crime data on the dark web?

Will More Countries Adopt These Predictive Solutions?

More countries will likely soon develop AI-powered prediction tools. The cat is out of the bag, so to speak. Whether they create apps exclusively for police officers or integrate a machine learning model into surveillance systems, this technology is here to stay and will likely continue to evolve.

About the Author:

Zachary Amos is the Features Editor at ReHack, where he writes about artificial intelligence, cybersecurity and other technology-related topics.

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Copyright: cepr.org – “Distance From Innovation is a Barrier to the Adoption of Artificial Intelligence”

While distance may seem unimportant in the face of technological progress in transportation and communication, several studies have found that distance is a barrier to the diffusion of inventive activity and technology adoption. This column examines US firms’ adaptation and adoption of artificial intelligence in response to AI innovation. The authors find that distance from innovation hotspots reduces growth in AI research jobs as well as in jobs adapting AI to new industries, with the effect driven by AI publications rather than AI patents. Twenty percent of the overall distance effect is explained by the presence of state borders, which may impede migration and thus flows of tacit knowledge.

The extent to which geographic distance is a barrier to technological knowledge transfer is of interest to governments of countries distant from centres of knowledge creation or technology production; to entrepreneurs deciding where to locate a new firm that will need to remain abreast of technological developments; and to national or local policymakers seeking to influence the decisions of such entrepreneurs. These agents may value knowledge transfer as an input to further knowledge creation, or as a prerequisite for the adoption of new technology practices.

Distance may seem unimportant in the face of technological progress including the telephone, modern means of transportation, email, texting, the worldwide web, and video conferencing. Yet, several studies have found that distance is a barrier to the diffusion of inventive activity and to the cross-country diffusion of technology adoption, and prior work has also shown that US state borders are barriers to citations of patents. ¹ Cross-location collaboration and citing of academic papers and patents have been increased by shorter travel times, other papers have found.² […]

Read more: www.cepr.org

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Copyright: ohchr.org – “Artificial Intelligence (AI), a game-changer for sustainable development”

“Unprecedented advances in digital technology, including generative Artificial Intelligence, offer us previously unimaginable opportunities to move forward on the enjoyment of human rights and contribute to rescuing the 2030 Agenda,” said UN Human Rights Chief Volker Türk in his vision statement,  “Human Rights: A Path for Solutions.”

AI was the main spotlight at the fifth annual AI for Good Global Summit held in Geneva, Switzerland. The Summit is the leading action-oriented UN platform to promote AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities.

“As AI use continues to evolve and impact our daily lives, it’s crucial that we ensure its development benefits everyone,” Türk said on the Summit and how it was a great opportunity to work on policies and governance that prevent AI-induced rights abuses.

The Summit was organized by the International Telecommunication Union, the UN specialized agency for information and communication technology, in partnership with 40 UN agencies, including UN Human Rights, and the Swiss government. The Summit aimed to identify practical applications for AI, scale solutions for global impact and accelerate progress towards the UN Sustainable Development Goals.

“Our presence at the AI for Good summit is a testament to the importance of embedding human rights considerations into the fabric of technological innovation,” said Peggy Hicks, Director of the Thematic Engagement, Special Procedures and Right to Development Division at UN Human Rights. “We believe that through multistakeholder efforts, we can achieve a balance where the transformative potential of AI is realized in ways that enhance, rather than undermine, human rights.”[…]

Read more: www.ohchr.org

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SwissCognitive Guest Blogger: Dr. Raul V. Rodriguez, Vice President, Woxsen University and Dr. Hemachandran Kannan,  Director AI Research Centre & Professor – AI & ML, Woxsen University – “Rethinking the Future of Singularity State with Critical Thinking”

In a time of swift technological progress, education has never had more opportunity to change. Generative and quantum AI present exciting opportunities for improving student learning outcomes and upending educational paradigms as traditional teaching approaches change. First, we explore the possible uses, advantages, and difficulties of incorporating generative and quantum artificial intelligence (AI) into educational environments, and we end up imagining a future in which these advances push education into new frontiers of brilliance and performance.

Understanding Generative AI

A branch of artificial intelligence called “generative AI” is concerned with producing new content—like literature, graphics, and even music—by using patterns discovered in previously collected data. It functions by producing an output that closely resembles the properties of the input data. Generative AI in education makes content generation, assessment automation, and personalized learning possible. For example, platforms like Google’s AutoML allow teachers to create personalized learning resources, while technologies like OpenAI’s GPT models may create educational materials suited to each student’s needs. These instances show how generative AI encourages creativity and adaptability in teaching methods.

Exploring Quantum AI

Using the ideas of quantum mechanics, quantum artificial intelligence (AI) is able to do calculations that are beyond the reach of classical AI. Quantum artificial intelligence (AI) uses quantum bits, or qubits, which are multi-state entities that can exist concurrently, as opposed to classical AI, which uses binary bits. This enables exponential efficiency in solving complicated issues for Quantum AI. Quantum AI has great potential in education for applications such as scheduling algorithm optimization, molecular structure simulation for chemistry lectures, and complex mathematical problem solving that beyond the capabilities of traditional computing. A greater knowledge of quantum principles in education is made possible, for instance, by IBM’s Quantum Experience platform, which provides instructors and students with opportunity to investigate quantum concepts and algorithms firsthand.

Revolutionizing Education: Case Studies and Examples

1. Real-world examples of educational institutions or initiatives leveraging Generative and Quantum AI

At the end of last year, MIT hosted a symposium as part of their “MIT Generative AI Week” to examine state-of-the-art generative AI initiatives being worked on by the academic institution. These projects include a mobile app that employs AI-assisted observational learning to enhance public speaking abilities and individualized educational chat tutors for quantum physics using generative AI. Another such is the University of Cambridge, which has been investigating how deep learning algorithms for educational applications—like more effective and precise language translation models—can be improved by using quantum computing.

1. Success stories of student performance enhancement through the integration of these technologies

The AI Research Center at Woxsen University in India has developed AI chatbots in the Metaverse for Management courses that help students grasp the material clearly and retain it for the rest of their lives. Students who utilized the chatbot to receive texts regarding assignments, academic support, and course content were more likely to receive a B grade or better. Georgia State University’s artificial intelligence-enhanced chatbot, named “Pounce,” has been shown to improve student performance in classes. Similar to this, at California State Polytechnic, Pomona, students are writing and participating better because of the usage of an AI-powered platform called Packback, which encourages critical thinking and deeper engagement with the course materials.

1. Challenges and limitations faced in implementing Generative and Quantum AI in education

Rather than merely creating technology-driven solutions, a major challenge is to match the development of AI tools and solutions with the changing requirements and complexity of the educational system. In addition to pointing out that technologists have historically found it difficult to create tools that properly meet the demands of educators and students, panelists at the MIT symposium emphasized the significance of comprehending the social and technical systems that comprise contemporary education. Furthermore, the search results indicate that in order to fully realize the potential of these cutting-edge technologies in the classroom, a fundamental rethinking of the educational model will be required, shifting away from traditional instructivist techniques and toward more constructionist, hands-on learning.

Future Implications and Possibilities

The future of learning is expected to be significantly impacted by the integration of Generative and Quantum AI in education as they develop further. The combination of these technologies creates new opportunities for tailored instruction, flexible learning environments, and data-driven understanding of students’ development. Furthermore, a paradigm shift in teaching approaches is predicted given the possibilities for complex problem-solving enabled by Quantum AI and immersive virtual environments powered by Generative AI. By adopting these innovations, educators may look forward to a time when education will be more dynamic, inclusive, and engaging, enabling students to succeed in a world that is getting more complicated and dynamic by the day.

Conclusion

The unparalleled opportunity to transform education is presented by the convergence of Quantum AI and Generative AI. Through the utilization of Generative AI for customized learning and content development, and Quantum AI for addressing intricate issues beyond standard computing, educational establishments have the opportunity to improve student learning results and challenge established ideas. The tangible advantages of these technologies are demonstrated by real-world examples, which range from enhanced student performance to personalized chat instructors. But issues like pedagogical changes and alignment with educational needs need to be addressed. Future learning experiences that are adaptable, immersive, and successful are promised by the integration of generative and quantum artificial intelligence (AI), equipping students for success in a world that is always changing.

About the Authors:

Dr. Raul Villamarin Rodriguez is the Vice President of Woxsen University. He is an Adjunct Professor at Universidad del Externado, Colombia, a member of the International Advisory Board at IBS Ranepa, Russian Federation, and a member of the IAB, University of Pécs Faculty of Business and Economics. He is also a member of the Advisory Board at PUCPR, Brazil, Johannesburg Business School, SA, and Milpark Business School, South Africa, along with PetThinQ Inc, Upmore Global and SpaceBasic, Inc. His specific areas of expertise and interest are Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Knowledge Engineering, and Quantum Artificial Intelligence.

Dr. Hemachandran Kannan is the Director of AI Research Centre and Professor at Woxsen University. He has been a passionate teacher with 15 years of teaching experience and 5 years of research experience. A strong educational professional with a scientific bent of mind, highly skilled in AI & Business Analytics. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. He has rich working experience in Natural Language Processing, Computer Vision, Building Video recommendation systems, Building Chatbots for HR policies and Education Sector, Automatic Interview processes, and Autonomous Robots.

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Copyright: dice.com – “How Are Businesses Adjusting To The Rise Of Artificial Intelligence?”

A new study by Ernst & Young LLP suggests that A.I. adoption will force 50 percent of businesses to unleash layoffs alongside new hiring in an attempt to adjust. Companies are reshaping their workforce to be more AI savvy. With this transition, we can anticipate a continuous cycle of strategic workforce realignment, characterized by simultaneous layoffs and hiring, and not necessarily in equal volumes,” Vamsi Duvvuri, EY Technology, Media and Telecommunications AI Leader, wrote in a statement accompanying the study’s data. “But it’s not all doom and gloom. Employees and companies alike continue to show enthusiasm around AI, specifically when it comes to opportunities to scale and compete more effectively in the marketplace.”

Of the 255 business leaders surveyed for the study, some 72 percent said their employees were using AI at least daily in the workplace. Top uses included coding and software development (51 percent), data analysis (51 percent), and internal and external communication (47 percent). Moreover, 82 percent of these leaders plan increasing their AI investment in the next year.

Amidst this changing landscape, these leaders are hiring for key roles, including:

Cybersecurity Analyst

AI will increasingly automate threat detection and other aspects of the cybersecurity business, freeing analysts to focus on strategic response and investigation.

• AI Tools to Know: Anomaly detection systems, SIEM (Security Information and Event Management), Machine learning for threat hunting.
• Languages: Python (Scikit-learn for ML), scripting (bash, PowerShell) for automation.
• Takeaway: Upskill in AI to understand and leverage automated tools. Hone soft skills like communication and critical thinking for effective incident response.

Data Scientist

AI will impact data cleaning and feature engineering, allowing data scientists to focus on model building and sharing their results with other stakeholders throughout their organization.[…]

Read more: www.dice.com

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Copyright: ssir.org – “How Investors Can Shape AI for the Benefit of Workers”

The world of work is changing. AI’s impact on work and workers is an inescapable conversation right now everywhere from the World Economic Forum and the White House, to American union halls, Fortune 100 board rooms, and VC cocktail parties. AI is poised to alter everything from how customer service questions get answered to diagnosing cancer. Here we will skip the false precision of predicting exactly how many jobs will be dislocated and instead focus on how we can envision and incentivize the beneficial impacts of AI for both workers and society.

As venture investors, we are constantly hunting for big, audacious ideas that can produce outsized returns for our investors. But we also didn’t get into this industry without the fundamental belief that the future can be made better than the present. That’s not techno-utopianism but rather a recognition that there are numerous levers within capital that can shape the future we want to live in. If we choose to use them. And as the world of work is reshaped by AI, we believe there are opportunities within our critical, fast-growing care economy sector to enable and support a workforce with the biggest shortages in the United States.

AI and the Future of Work: What Stays and What Goes?

AI’s fundamental skill is pattern recognition at a staggering scale. This means that many administrative and analytical tasks like note-taking, scheduling, data reconciliation, and summarization will be reduced dramatically. It is true that jobs will be lost in these areas. But the ones that remain may become higher quality and higher paying. For example, think of a nurse manager or a teacher who no longer needs to devote 40% of their time to jockeying a schedule or designing slides and worksheets. Instead, they can lean into the uniquely human elements of their job in ways that require emotional and contextual assessment and insight that technology cannot replicate. AI will isolate and highlight these soft skills in ways that will make them more valuable and potentially higher compensated.

AI also has the potential to lower the barriers to entry to many jobs, including technical ones. We’ve seen this same scenario play out with other technological leaps forward, time and time again. Think of the way online maps and navigation made becoming a London black cab driver more accessible, no longer requiring decades to earn “The Knowledge” of every side street. Now that AI can synthesize huge volumes of information and deliver it at the moment of need—to a technician repairing a downed telephone pole, to a nurse wondering which needle gauge to use, to a young engineer who can automate her code production—the workforce will actually become more fungible.[…]

Read more: www.ssir.org

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Dalith Steiger and Andy Fitze, Co-Founder of SwissCognitive, World-Leading AI Network
Copyright: moneycab.com – “MWC24: Eine Revolution in der Welt der Technologie (MWC24: A revolution in the world of technology)”

Highlights and innovations at MWC24

MWC24 showcased an impressive array of innovations and technologies that are pushing the boundaries of connectivity. From the launch of new wearables with a fashionable design focus to comprehensive reports on the future of telecoms technology paving the way for new devices and technologies, MWC24 offered an insight into the industry’s most exciting developments. The variety of really good-looking products, such as the OPPO Air Glass 3 smart glasses, the Samsung Galaxy Ring, and the various Huawei fashion wearables, ranging from smart headphones to smartwatches, left visitors in awe. Companies are striving to develop really good-looking products.

Breaking through barriers: The campaign to bridge the usage gap

Discussions also focused on important topics such as closing the usage gap and promoting digital inclusion. The usage gap, which excludes millions of people worldwide from the benefits of the internet, remains a pressing challenge. The GSMA’s Breaking Barriers campaign aims to close this gap and ensure that everyone has access to the internet. Asisat Oshoala, the ambassador for this campaign, is committed to ensuring that the younger generation has access to the internet by using her own foundation and the Asisat Oshoala Academy to teach digital skills.

The evolution of connectivity: from 4G to 5.5G

Mobile technology has evolved rapidly in recent years to meet the growing need for connectivity in an increasingly connected world. While 4G was mainly aimed at connecting people and things, 5G has already expanded connectivity in the home. However, with the introduction of 5.5G, the boundaries are being pushed again to enable even broader connectivity, including the vehicles and the industry.

The benefits of 5.5G:

Connectivity for vehicles: 5.5G enables the seamless integration of vehicles into the Internet of Things, leading to greater safety, more efficient traffic management and new entertainment and communication options.

Connectivity for industry: The integration of 5.5G into industrial applications and production processes will enable seamless communication between machines, sensors and other devices.

Better performance and efficiency: 5.5G will increase bandwidth, reduce latency, and increase data volumes, resulting in faster and more efficient connectivity.

Further developments and innovations

In addition to advances in connectivity, other important topics and developments were also discussed at MWC24. The partnership between the European Space Agency (ESA) and the GSMA Foundry to drive innovation in terrestrial satellite communications was one of the most exciting pieces of news.

The dominance of 5G and the future of 5.5G

New figures from GSMA Intelligence showed that 5G is expected to account for more than half of all mobile connections by the end of the decade.

5G has proven to be the fastest-adopted mobile generation and is expected to reach 5.5 billion connections worldwide by 2030. This development will fundamentally change the way we communicate, work and live. 5.5G will enable even greater connectivity between people, things, homes, vehicles and industries. This will play a key role in shaping our connected and digitized future.

The role of open access [Open Gateway] at MWC24

While artificial intelligence (AI) was undoubtedly the focus of MWC24, the Open Gateway also played an important role. Major mobile operators such as Telefónica, Orange, Deutsche Telekom and Vodafone are showing increasing interest in using the Open Gateway to develop and share a growing number of APIs to monetize their 5G networks. These APIs provide developers with universal access to operator networks under the umbrella of the GSMA’s Open Gateway Initiative.

Demonstrations and use cases

Various demonstrations were shown at MWC24 to illustrate the versatility of Open Gateway. For example, Telefónica enabled visitors to immerse themselves in a multi-camera sporting event with the help of virtual reality headsets. The Open Gateway made it possible to experience the event with 180- and 360-degree views “in the best service quality” and without interruptions.

Increasing importance and support

The importance of the Open Gateway was also underlined by industry leaders, including Mats Granryd, Director General of the GSMA, and José María Álvarez-Pallete, Chairman and CEO of Telefónica. According to the GSMA, almost 50 mobile operator groups, representing around 65% of global connections, have now signed up to the Open Gateway initiative.

Opportunities and risks

Opening up networks to developers through Open Gateway offers mobile operators enormous opportunities to offer new and innovative services. A study by McKinsey & Company shows that the market for network APIs could generate between 100 and 300 billion dollars in revenue for operators over the next five to seven years. However, the company warns that operators will not be the only ones competing for this lucrative market.

MWC Barcelona 2024 in numbers

MWC Barcelona 2024 attracted more than 101,000 unique attendees from 205 countries and territories, with more than 59% of attendees representing industries outside the core mobile ecosystem. With more than 2,700 exhibitors, sponsors, and partners and over 1,100 speakers and opinion leaders, of which more than 40% were women, MWC24 was an impressive gathering of the industry’s leading minds and innovators.

Summary and outlook

Mobile World Congress 2024 was another milestone in the evolution of the technology industry. With groundbreaking innovations, important discussions and pioneering partnerships, MWC24 showed that the future of technology is bright and full of possibilities. As we prepare for the launch of 5.5G and beyond, we are on the brink of an exciting era of connectivity that has the potential to change the world as we know it.

Original article: www.moneycab.com

Der Beitrag MWC24: A Revolution In The World Of Technology erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.