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Generative AI (2/2): what will the future look like?

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In my previous Article about Generative AI, I tried to set up the basics by giving a definition of this new technology trend, explaining its use cases and how the underlying algorithms where working. Now I want to extend a little bit on which type of actors will emerge of this trends, what are the opportunities for entrepreneurs and what will be the challenges they will be facing. Most industries could be impacted by Generative AI, but some more than others. Here I'll discuss some of the most important ones from my point of view. Copywriting is the most obvious and notorious usage of Generative AI.


5 Books on Why Our Future Looks Like Science Fiction

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A fascinating and revealing account of espionage for the digital age, Spies, Lies, and Algorithms is essential reading for anyone who wants to understand the reality of spying today. Listen to our Book Bite summary, read by author Amy B. Zegart, in the Next Big Idea App From an engineer and futurist comes an impassioned account of technological stagnation since the 1970s, and an imaginative blueprint for a richer, more abundant future. Listen to our Book Bite summary, read by author J. Storrs Hall, in the Next Big Idea App A bold exploration and call to arms over the widening gap between AI, automation, and big data--and our ability to deal with its effects.


What does near future look like

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As we know "The Era of Internet" has grown in the last decade. People before 2010 barely used the internet, but 2010 has changed our lives and we are completely dependent on the internet now. Internet has also enabled us to develop more number of technologies and made our day to day tasks easier like trading, learning, gaming, entertainment and many more. In this decade, we can see the rise of Artificial Intelligence, Data science, Blockchain, quantum computing, cloud technology etc. There will be steep increase in this technologies on this decade and development of new technologies like AR, VR, holographic screens etc.


Artificial intelligence and business: What will the future look like?

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As per a study, 91.5 percent of the firms are reported to have an interest in investing in artificial intelligence technology. Growth in the use of automation, 5G, databases, cloud computing, and much more are driving the demand for artificial intelligence. Various industries are incorporating AI in their processes to improve customer experience and business operations. Small and medium enterprises are utilizing this technology to optimize performance and functions at minimum costs. The ability of AI to detect cyber threats is anticipated to drive its integration in the cybersecurity services.


The next wave of innovation in insurance: insurtechs remain enablers or become disruptors?

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The insurance industry in Asia has changed very little in the last few decades. Insurance products have largely been underwritten on the basis of aggregated data with a cost-plus mindset since the advent of the semiconductor! In this period, we have moved from punched card computers to mainframe computers to personal computers to handheld devices. We have transitioned from analog information silos to a highly connected internet-enabled world with near-infinite access to information and near-infinite devices which communicate globally. With the exception of insurance, every other financial product has joined the information age.


Triggering marketing impact through Artificial Intelligence

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Artificial Intelligence has the capacity to significantly enhance the power of marketing and marketers across the world are opening up to the possibilities AI presents to them in engaging better with consumers, while also improving customer experience. Sarin Menoky, Lead - Thought Leadership Marketing, Infosys BPM writes about the opportunities that AI presents for marketers and what the future looks like. Marketing is a sector that has among the most to gain from artificial intelligence (AI). At its core, the purpose of marketing is to understand customer requirements, map them to relevant products and services, and persuade people to buy. AI has the capacity to significantly enhance the power of marketing.


How far Artificial Intelligence has come, and what the future looks like

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Artificial Intelligence has had a significant impact on the business world. What started out as a rule-based automation system can now mimic human interactions and behaviours. An advanced AI algorithm outperforms human counterparts in terms of speed and capacity at a fraction of the cost. Because of technological advancements, we are already connected to AI in some way, whether it is Siri or Alexa (RIP Cortana). Although the technology is still in its infancy, more businesses are adopting machine learning, implying that AI products and applications will grow rapidly in the near future.


Artificial intelligence and business: what will the future look like?

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Artificial intelligence (AI) is rapidly making its way out of research laboratories and into the world of business. Industry leaders across hundreds of niches are harnessing its potential -- from call centers deploying chatbots to enhance customer interactions, to banks analyzing innumerable data points within seconds to detect fraudulent activities. While leading companies are leveraging this technology to make more informed business decisions through data and better predictions of customer behavior, customers are increasingly becoming accustomed to the use of AI as well. According to a recent survey, 51% of customers say their expectations of companies are now being influenced by AI. With the future of AI set to change the rules of business, here's what organizations need to know about preparing themselves for its impact to better reap its benefits.


What will doctors of the future look like? Meet the 10 innovators revolutionising healthcare

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For the doctors of the future, and their creators, the re-invention of the healthcare system must begin with those working on the frontline. WIRED and HP present ten innovators developing the artificially intelligent, entrepreneurial, and on-demand doctors who are set to transform the delivery of healthcare. Subjectivity is the last quality you want in medical diagnosis, but with complex noisy scans an objective conclusion can be hard to come by. At the University of Copenhagen's department of computer science, Mads Nielsen is working on the use of machine learning to provide automatic, accurate and quantitive analyses of common medical imagery. Applications including screening for breast cancer risk in mammograms, Alzheimer's development in brain MRI scans, and arthritis in hand and knee MRI images, are being developed through his spin-out company, Biomediq.


Watch now--The Artificial Intelligence Era: What will the future look like? - Bulletin of the Atomic Scientists

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Nadya Bliss is the Executive Director of the Global Security Initiative at Arizona State University. In that capacity, she leads a pan-university organization advancing research, education, and other programming in support of national and global security. She has proven expertise in growing mission-focused research organizations; deep knowledge of the technology transition pipeline; and significant experience identifying advanced research capabilities to address mission needs with almost two decades specifically in defense and security sectors. Dr. Bliss is actively involved in national service, including currently as an Executive Committee member of the Computing Community Consortium and the Vice Chair of the DARPA ISAT (Information Science and Technology) study group.