A couple of months ago, Vice-President J. D. Vance made an appearance in Washington at the American Dynamism summit, an annual event put on by the venture-capital firm Andreessen Horowitz. Members of Congress, startup founders, investors, and Defense Department officials sat in the audience. They gave Vance a standing ovation as he walked onstage, while Alabama's "Forty Hour Week (For a Livin')" played in the background. "You're here, I hope, because you love your country," Vance told the crowd. "You love its people, the opportunities that it's given you, and you recognize that building things--our capacity to create new innovation in the economy--cannot be a race to the bottom."

Technology is a huge part of our lives. We use it to learn, communicate, and entertain ourselves. But over the past few years, technology has changed in a way that is impacting every aspect of our lives. We now have access to technology that allows us to do things we never thought possible. Technological innovation is the process of developing and implementing new technology.

"Today, the kind of superpowers that seem to belong in storybooks can be achieved by mathematical models, computation, new materials, AI, robotics–this convergence of fields," says Dr. Rus. This episode is part of our "Building the future" podcast series. It's a multi-episode series focusing on how organizations, researchers, and innovators are meeting our evolving global challenges. We understand the importance of inclusive conversations and have chosen to highlight the work of women on the cutting edge of technological innovation, and business excellence. A combination of technology and human ingenuity will push boundaries as companies look to enter a new wave of innovation through data and AI to enable growth. Although O'Reilly estimates that we're in the early stages of this transformation, she predicts that this convergence will be the biggest change since the industrial revolution.

Automotive: Autonomous cars are as inherent to the vision of the future as space travel and holograms. Automobiles have been seen as the final leading edge of technological innovation. In the meantime, artificial intelligence has slowly begun to transform the vehicles through integrated innovations such as preventing accidents through risk assessment and driver monitoring, personalized vehicles, and in-car assistance. The impact of technology on automobiles and the entire automotive sector will expand in the coming years with the increasing penetration of AI for different operations. Moreover, neural networks and specific algorithms are used in autonomous vehicles to collect data, analyze objects, and make accurate decisions on the road.

Fears about new technology replacing human labor and causing overall unemployment have raged across industrialized societies for hundreds of years, despite a nearly continual rise in both jobs and wages in capitalist economies. The jobs apocalypse is always right around the corner; just ask the Luddites. We had two such anti-technology jobs moral panics in the last 20 years -- "outsourcing" enabled by the Internet in the 2000's, and "robots" in the 2010's. The result was the best national and global economy in human history in pre-COVID 2019, with the most jobs at the highest wages ever. Subscribe for free to receive new posts and support my work.

Capitalism aims to convert ambition to success. Its alchemy of incentives fosters a relentless pursuit of economic opportunity from things we crave: food, shelter, bigger iPhones, desirable mates. Our hunger for wealth and love drives us to work and create -- capitalism's genius is finding new avenues for that drive. The philosopher's stone of capitalism is technological innovation. It's no accident capitalism flourished and spread across the globe contemporaneously with the adoption of new technologies in production, transport, and information.

This seems the only suitable word to assess the huge amount of data being generated due to the ensuing COVID 19 pandemic and the global lockdown caused by it. We can broadly classify the data into two categories – Deliberate and Non-Deliberate. The first category of the data is being generated by governments as part of their response plan to the pandemic while the second category of data is being automatically generated due to the global lockdown. As the governments have well-defined objectives to create and use the data they are generating to control the outbreak of COVID 19 in their respective territories, this category of data is immediately being used in their outbreak response plans such as communication campaigns, diseases prevention, social distancing, awareness campaigns, diagnosis, prognosis, and treatment with the help of AI (Artificial Intelligence) based technological innovations particularly mobile apps, dashboard, websites, etc. In addition to the urgent disease containment plans, the first category of data will also be crucial for assessing health systems, developing pandemic/epidemic/outbreak resilience plans and assessing economic impacts to improve future resilience. However, the collection and use of the second category of data is likely to guide the national and global policies for the years from transport planning, supply chain management, global warming, carbon emission, climate change, biodiversity, regional cooperation, geopolitics and much more.

In September 2021, the "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the second report of its planned long-term periodic assessment of artificial intelligence (AI) and its impact on society. It was written by a panel of 17 study authors, each of whom is deeply rooted in AI research, chaired by Michael Littman of Brown University. The report, entitled "Gathering Strength, Gathering Storms," answers a set of 14 questions probing critical areas of AI development addressing the major risks and dangers of AI, its effects on society, its public perception and the future of the field. The report concludes that AI has made a major leap from the lab to people's lives in recent years, which increases the urgency to understand its potential negative effects. The questions were developed by the AI100 Standing Committee, chaired by Peter Stone of the University of Texas at Austin, consisting of a group of AI leaders with expertise in computer science, sociology, ethics, economics, and other disciplines.

In the era of Siri, Alexa, and Clever Nelly, there's no doubt that artificial intelligence has touched both the personal as well as professional chords of our lives. Despite various opinions about the subject, including fears about AI replacing humans, and leading to tremendous job loss, AI's contribution to improving human life in general, and workplace efficiency in particular, is undeniable. In this month's newsletter, we shed light on the impact of AI in the workplace. We'd love to get your feedback. With the gradual expansion of AI-based initiatives across industries, it has become an absolute mandate for organizations to embrace AI in the workplace to sustain the fierce global competition.

Anyone who has transferred money to another person's account without having to deal with a bank employee -- by e-mail, text, call or physical visit to a bank branch -- is no longer a total stranger to financial technology. But keeping up with developments in the market can be dizzying, as fintech has grown exponentially of late, helped in part by the global health crisis that provided the impetus to reexamine processes and put the customer at the core of solutions. Fintech trends have been disruptive and will continue to be so especially now that the mobility restrictions since 2020 forced financial institutions to take a good look at what a digital economy is going to look like. Looking at the practical responses of banks to stay agile during the pandemic by examining processes that can be automated and making them more customer-centric, we can see that financial institutions have already set into motion what could be the beginnings of digital transformation. In some countries, financial firms are proactively taking steps to understand how their organizations can benefit from the wide array of available and emerging technologies.