If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
"The pace of progress in artificial intelligence (I'm not referring to narrow AI) is incredibly fast. Unless you have direct exposure to groups like Deepmind, you have no idea how fast--it is growing at a pace close to exponential. The risk of something seriously dangerous happening is in the five-year time frame.
Technology is now evolving at such a rapid pace that annual predictions of trends can seem out-of-date before they even go live as a published blog post or article. As technology evolves, it enables even faster change and progress, causing an acceleration of the rate of change, until eventually, it will become exponential. Technology-based careers don't change at the same speed, but they do evolve, and the savvy IT professional recognizes that his or her role will not stay the same. And an IT worker of the 21st century will constantly be learning (out of necessity if not desire). What does this mean for you?
Counterfeiters have leveraged consumer fear and uncertainty created by coronavirus (COVID-19) to flood the market with fakes, misinformation and counterfeits, taking advantage of demand and panic buying for essential goods and services. As one example, social media bot accounts are causing life-threatening coronavirus misinformation to spread across the internet. The Reuters Institute for the Study of Journalism and the Oxford Internet Institute recently released the results of a study that reviewed 225 pieces of COVID-19 misinformation rated false or misleading by fact-checkers. The research found that "false (COVID-19) information spread by politicians, celebrities, and other prominent public figures" accounted for 69% of total engagement on social media, even though their posts made up just 20% of the study's sample. Likewise, counterfeit N95 masks, test kits and ventilator parts have posed challenges for governments across the globe trying to keep their populations safe during COVID-19.
Managed services giant KPMG said last year blockchain had moved beyond the "hype phase", shifting the focus of the technology far from often notably zany proof-of-concepts to actual utility within the world of business. Huawei, in collaboration with Oxford Economics, predicts that the digital economy will represent 24.3% of worldwide gross domestic product by 2025, totalling up to a valuation of about US$23 trillion. Among the emerging technologies driving that growth will be blockchain. While some of the competent applications of blockchain include its used in finance and provide chain traceability, such as that of the recent tie-up between IBM and Atia to ensure "safer, better seafood" in Norway, or the success of TradeLens by shipping giant Maersk, below are a few less-considered areas where blockchain is making its mark. Blockchain is increasingly infiltrating the gaming industry and is set to pioneer a new dimension of gaming by starting new and open economies within the virtual landscape.
Much proselytizing has occurred regarding the value and future of artificial intelligence (AI) and machine learning in healthcare. As with blockchain technology, which continues to evolve in the healthcare marketplace, AI and machine learning are constructs that require a bit of near-term expectation management. While their efficacy and value will improve with time, they are not the magic bullet (at present) that will answer the myriad care and cost delivery questions surrounding healthcare in the United States. Owing to space constraints this column is an overly simplistic contemplation of AI. As prologue to this article, I am not an AI programmer, don't play in Python, and have never built a machine learning algorithm.
Much proselytizing has occurred regarding the value and future of artificial intelligence (AI) and machine learning in healthcare. As with blockchain technology, which continues to evolve in the healthcare marketplace, AI and machine learning are constructs that require a bit of near-term expectation management. While their efficacy and value will improve with time, they are not the magic bullet (at present) that will answer the myriad care and cost delivery questions surrounding healthcare in the United States. Owing to space constraints this column is an overly simplistic contemplation of AI. As prologue to this article, I am not an AI programmer, don't play in Python, and have never built a machine learning algorithm. That said, I do have 30 years of practical experience in the healthcare trenches and have dealt with information technology (IT) systems and applications in that time, such as culling quality data and outcomes from electronic medical record (EMR) systems and deploying rudimentary analytics.
A special, peer-reviewed edition of OMICS: A Journal of Integrative Biology, has highlighted the importance of key digital technologies, including Artificial Intelligence (AI), machine learning, and blockchain for innovation in healthcare in response to the challenges posed by COVID-19. Vural Özdemir, MD, PhD, Editor-in-Chief of OMICS, said: "COVID-19 is undoubtedly among the ecological determinants of planetary health. Digital health is a veritable opportunity for integrative biology and systems medicine to broaden its scope from human biology to ecological determinants of health. Articles in the special issue include an interview on'Responsible Innovation and Future Science in Australia' by Justine Lacey, Commonwealth Scientific and Industrial Research Organisation (CSIRO), and Erik Fisher, Arizona State University, Tempe, 'Blockchain for Digital Health: Prospects and Challenges' and'Integrating Artificial and Human Intelligence: A Partnership for Responsible Innovation in Biomedical Engineering and Medicine.' In'Blockchain for Digital Health: Prospects and Challenges' the article explores the challenges that can be faced with the use of blockchain technology.
Ninety-four percent of healthcare executives report that artificial intelligence, blockchain, and other emerging technologies have accelerated the pace of innovation over the past three years, according to an Accenture report. However, the report also found that while technology investments have progressed, healthcare organizations still need to do more to meet rising consumer and employee expectations. The healthcare industry has largely come to recognize that digital technologies must be a core part of everyday processes, with organizations increasingly investing in social, mobile, analytics, and cloud technologies. Eighty percent of healthcare executives agreed that these tools have moved beyond adoption silos to become an integral part of the technology foundation of their organizations. Here is how AI, ML, and blockchain are reshaping the healthcare industry.
The future of big data is clear and unshakeable. If you have noticed, technologies like IoT, Machine Learning, artificial intelligence, and more are making their ways into our everyday lives. Behind all of these is Big Data sitting strong in an authoritative position. There are devices that are talking to each other over a connected network sharing and generating data you feed, and there are algorithms learning patterns and processing information from the generated data. A simple example of the Internet of Things is your smart television that is connected to your home network and generating data on your viewing patterns, interests, and more.
The technology company Agric10x announced a collaboration with the government of India. Their work is aimed at creating a connection between farmers, enterprises and markets. As a result, farmers in the country will be able to sell their products faster and with the greatest profit directly to consumers. Agric10x is an agricultural E-Market with artificial intelligence and blockchain. Using the platform, farmers will be able to sell their products and minimize the number of intermediaries.