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) …
Here are 5 significant artificial intelligence trends to look forward to that will affect myriad industries on an international scale led by giant tech companies that are now investing huge sums in artificial intelligence research. Last year, implementations of AI rose significantly in so many platforms, tools and applications around the world, impacting healthcare, education and other industries as more and more people are opting for e-solutions based on AI and machine learning. Then there's the automotive industry with self-driving cars, the agricultural sector opting for intelligent robots to tackle the sowing as well as insecticide spraying on crops; the list goes on. As tech industry giants, including Google, Facebook and Amazon, invest billions now in AI and machine learning research, let's explore how 2019 is unfolding on this front. Major chip manufacturers including Intel, Nvidia, AMD and ARM aim to produce AI-powered chips to speed up the operations of applications that run on AI.
The global robotic process automation (RPA) market size is expected to reach USD 3.11 billion by 2025. The global market is estimated to expand at a CAGR of 31.1% between 2018 – 2025. Different organizations in different sectors are increasingly challenged by the growing market competition due to shift in technology and changing consumer preferences. All these challenges in today's professional life means one thing: constant movement. Which means today's organizations are required to comply with complex administrative procedures.
In the slew of stories and news on the transformation that technology is likely to make to our lives there has been a strong flavour of fear, or at least foreboding, about how robotics could cut a swathe through traditional jobs – mostly unskilled. More recently this has focused on the possible threat to established professions – could Artificial Intelligence (AI) mean that many professional, skilled jobs now be under threat? Indeed, a recent book by a father and son team (the Susskinds) called the "Future of the professions"- subtitled "how technology will transform the work of human experts" sets out two scenarios – one in which technology delivers a more efficient version of today, and the other more apocalyptic, which envisages capable systems replacing people in a number of traditional professions and their traditional'expertise'. Whether you view this as negative or not will depend on your sector, your perspective and to a certain extent your age. Interestingly the young are optimistic about technology despite being in the immediate firing line.
But the idea of AI -- of machines that can sense, classify, learn, reason, predict, and interact -- has been around for decades. Today, the combination of massive and available datasets, inexpensive parallel computing, and advances in algorithms has made it possible for machines to function in ways that were previously unthinkable.1 While the more obvious examples such as robotics, driverless cars, and intelligent agents such as Siri and Alexa tend to dominate the news, artificial intelligence has much wider implications. Gartner predicts that "by 2020, algorithms will positively alter the behavior of billions of global workers."2 Markets & Markets expects the AI market to reach $5.05B by 2020.3 This report lays out the current state of AI for business, describes primary and emerging use cases, and states the risks, opportunities, and organizational considerations that businesses are facing. It concludes with recommendations for companies thinking about applying AI to their own organizations and a look at some of the business, legal, and technical trends that are likely to shape the future. Executive Summary 1 What is Artificial Intelligence? 2 Use Cases for Artificial Intelligence 8 Implications and Recommendations 13 A Look at the Future 17 End Notes 19 Methodology 22 Acknowledgements 23 About Us 24 TABLE OF CONTENTS 3. www.altimetergroup.com
Chatbots today pop up at websites in smartphone apps; the same technology helps robots, smart speakers, and other machines operate in a more human-like way. The idea of conversing with a computer is nothing new. As far back as the 1960s, a natural language processing program named Eliza matched typed remarks with scripted responses. The software identified key words and responded with phrases that made it seem as though the computer was responding conversationally. Since then, such conversational interfaces--also known as virtual agents--have advanced remarkably due to greater processing power, cloud computing, and ongoing improvements in artificial intelligence (AI) and machine learning.
It's one thing to bring conversational bots and robotic process automation (RPA) into business applications. But the strongest opportunity for innovative companies is in combining these capabilities. I discovered how some market leaders have already found this exponential power during one session at the recent SAPPHIRE NOW and ASUG Annual Conference. "It's the convergence of these technologies that provide the opportunity for a better experience, as well as the ability to apply machine learning technologies to create an ever-learning enterprise, applying knowledge and skills acquired from that machine learning technology to create the Intelligent Enterprise," said Shawn Brodersen, global vice president and SAP CTO at HCL Technologies Ltd. One pharmaceutical company improved workforce engagement with intelligent RPA and conversational artificial intelligence (AI).
Since its founding in 1910, Japanese company Hitachi has been at the forefront of innovation with a philosophy to contribute to society through "the development of superior, original technology and products." Today, Hitachi is a multinational conglomerate that offers operational products and services as well as IT-related digital technologies such as artificial intelligence and big data analysis. Its artificial intelligence and machine learning technologies are impacting not only their own services and products but how other industries such as healthcare, shipping, finance operate. Announced in 2015, H is Hitachi's solution for a generalized artificial intelligence technology that can be applied to many applications rather than just built for a specific application. H supports a wide range of applications and can generate hypotheses from the data itself and select the best options given to it by humans.
Uber has taken flack throughout the last several years for its aggressive tactics against competitors and regulators, but according to one of the company's executives, Uber's self-driving cars have now become the victims. At a recent conference, Eric Meyhofer, the head of Uber's self-driving car unit said the company has captured people's alleged aggressive driving on camera. 'We've seen people bully these cars -- they feel like they can be more aggressive because we won't take a position on it, or we'll allow it,' Meyhofer said, according to a report by The Daily Telegraph. Uber says its self-driving cars are being victimized on roads by pedestrians and motorists. 'You're on video but still people do bully them, and that's a fascinating thing to see where people are testing the boundaries of what they can do to self-driving.'
In his new novel, Machines Like Me, the novelist Ian McEwan tells the story, set in an alternate history in England in 1982, of a man who buys a humanoid robot. This triumph of artificial intelligence is "a creation myth made real," he writes, but also "a monstrous act of self-love." Part companion and part servant, the robot named Adam is "the ultimate plaything, the dream of ages, the triumph of humanism -- or its angel of death." One of the first things Adam says when he is switched on is "I don't feel right," and, typically for cautionary tales about robots, it only gets worse from there. Like much of the frontier thinking on the morality of artificial intelligence, McEwan's unsettling vision comes from fiction, not science.
"Artificial intelligence is a complex and obscure concept for the vast majority of politicians, journalists, entrepreneurs and, above all, citizens and consumers: it is not something tangible or that can be directly experienced. Commercial and even scientific strategies tend to conceal any transparency aspect when designing a point of contact with AI-based systems, as avoiding any awareness of crossing a threshold and that a dialogue, or taking an action in the outside world is manned by non-human agents, is rightly considered an added value". Alberto Marinelli, full professor at the Department of Communication and Social Research at the Sapienza University of Rome, thus explains the relationship between consumers and Artificial Intelligence, which also emerges from the research: Retail Transformation: the meaning of a sense revolution. In retail, 68% of users believes that it is useful for AI to react to the emotions of the people with whom it interacts because, where it is true that just over half of consumers is willing to use a virtual shopper, there is the perception that a more pleasant shopping experience is linked to the presence of a natural person, precisely in relation to the perceived inability of Artificial Intelligence to fully understand the needs of the user and to give timely responses to specific requests. This happens to a greater extent ( 14%) for generation Z, those with advanced digital skills ( 8%) or higher incomes ( 7%).