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) …
As part of its Hype Cycle for emerging technologies in 2020, Gartner has identified social distancing technologies, composable enterprise, AI-assisted design, differential privacy and biodegradable sensors as the five key emerging trends that will drive technology innovation over the next decade. "Emerging technologies are disruptive by nature, but the competitive advantage they provide is not yet well known or proven in the market. Most will take more than five years, and some more than 10 years, to reach the Plateau of Productivity. But some technologies on the Hype Cycle will mature in the near term and technology innovation leaders must understand the opportunities for these technologies, particularly those with transformational or high impact," said Brian Burke, research vice president at Gartner. For example, Gartner points to health passports and social distancing technologies, both related to the COVID-19 pandemic, that are taking the fast track through the Hype Cycle and having a high impact.
It has been already a year since I published a similar article on the same Gartner's report for 2019 that you can find here. Which AI related technologies have been excluded from the report? Which ones should be, according to Gartner, focus areas for companies AI leaders? First, a quick reminder of an important background to understand how Gartner's Hype Cycles are presented. As Gartner explains in its research, its Hype Cycle covers a very broad spectrum of topics, so if a specific technology is not featured it does not necessarily imply that they are not important, quite the opposite.
Social distancing technologies, composable enterprise, AI-assisted design, differential privacy and biodegradable sensors are among key technologies that will drive technology innovation for the next decade, said leading research and advisory company Gartner in a new report. The 30 must-watch technologies on the Gartner report "Hype Cycle for Emerging Technologies, 2020" include technologies that enable a composable enterprise, aspire to regain society's trust in technology, and alter the state of your brain. "Emerging technologies are disruptive by nature, but the competitive advantage they provide is not yet well known or proven in the market. Most will take more than five years, and some more than 10 years, to reach the Plateau of Productivity. But some technologies on the Hype Cycle will mature in the near term and technology innovation leaders must understand the opportunities for these technologies, particularly those with transformational or high impact," said Brian Burke, research vice president at Gartner.
Last week, Gartner released a unique hype cycle; for emerging technologies. It includes technologies that can completely change the direction of human civilization. "This Hype Cycle highlights technologies that will significantly affect business, society and people over the next five to 10 years," said Brian Burke, Research VP, Gartner. From algorithmic trust to advanced AI, the Gartner's hype cycle features many new technologies. In this article, we will focus exclusively on the AI segment of this survey.
You likely have noticed how prevalent artificial intelligence (AI) and its related terms such as machine learning, neural networks, and big data analytics have become in the last several years in the world of cybersecurity. Doesn't it make sense for the security industry to be searching for the next big thing given the distressing rate of incidents and breaches the world is currently experiencing? Maybe you - like I - have gone to big security events like the RSA Conference or Black Hat and come away confused as to how these analytic concepts relate to the everyday job of keeping an organization safe. What is the proper role of AI in cybersecurity and when will it assume that role in force? One way to answer that question is to figure out where AI in cybersecurity is in its technology adoption lifecycle generally.
In most cities in China, citizens and visitors must download Health Code -- an app that indicates COVID-19 status -- to access many public and private spaces and services. A green screen means the person is free to travel, yellow indicates required quarantine and red means a confirmed infection. In India, the Aarogya Setu app indicates which travelers are "safe" to use rail and air travel. The United Arab Emirates recently launched ALHOSN UAE, which also indicates via color if a person is okay, infected or need to be quarantined, but also has an option for "hasn't been tested." ALHOSN UAE is currently being used to grant access to air travel.
Health passports are mobile apps that indicate the relative level of infection risk a person is and whether they can gain access to buildings, supermarkets, restaurants, public spaces and transportation. Early adopters in China and India are proving the combination of health passports and screening methodologies that are effective in stopping the spread of Covid-19 while also giving people the freedom to use public spaces and transportation. China's Health Code is widely used as a screening tool to minimize the risk of Covid-19 transmission. It provides the user with a color QR code based on their designated health status: Red is confirmed infected with Covid-19; Yellow should be in quarantine and Green is free to travel. Health Code checks are very common, making it difficult to move without having a green code.
Every year brings a new set of hyped technologies. It often seems like everyone is talking about them, even if we don't all understand just what they are or what they do. For instance, in recent years everyone was talking about blockchain, even as there were very few in-production examples of what it did and how it worked. Yet it seemed that everyone needed to have a blockchain strategy. The Gartner Hype Cycle for Emerging Technologies tries to categorize emerging technologies like this by where they are on the "hype cycle," a hero's journey for technologies, from the innovation trigger to the peak of inflated expectations, on through the trough of disillusionment to the slope of enlightenment and finally to the plateau of productivity.
Gartner's latest Hype Cycle has a distinct AI flavour, highlighting the technology's importance over the next decade. Of the 30 emerging technologies featured in Gartner's latest Hype Cycle, nine are directly related to artificial intelligence: Most of the AI technologies are currently in the initial "Innovation Trigger" part of the Hype Cycle, where excitement builds the fastest. Responsible AI, AI-augmented development, embedded AI, and explainable AI, have all now reached the "Peak of Inflated Expectations" and will next move into the dreaded "Trough of Disillusionment" as disappointment sets in over what can realistically be achieved. Only after the trough, which none of the AI technologies have yet reached, do we head into the areas of the Hype Cycle where adoption occurs with realistic expectations and the productivity rewards are reaped. Gartner's Hype Cycle covers the next decade.
In 2016, the enthusiasm for chatbots knew no limits. For example, according to a survey by Oracle, around 80 percent of all decision-makers in companies assumed that they would be using chatbots in sales, marketing, and customer service by 2020. And according to another prediction, more than two-thirds of all office workers should be interacting with chatbots on a daily basis by 2020. So where are we at right now and what can we expect after the chatbot hype? Download our free e-book to learn everything you need to know about chatbots for your business.