Trends Identified
Emerging market and/or nontraditional competitors
27% of the respondents view this as a negative trend
2017
Adoption of intelligent automation does not equal success. 4Q 2017 KPMG Global Insights Pulse Survey Report.
KPMG
Emerging market and/or non-traditional competitors
21% of the respondents view this as a negative trend.
2019
4Q 2018 KPMG Global Insights Pulse Survey Report
KPMG
Emergent artificial intelligence
Artificial intelligence (AI) is, in simple terms, the science of doing by computer the things that people can do. Over recent years, AI has advanced significantly: most of us now use smartphones that can recognize human speech, or have travelled through an airport immigration queue using image-recognition technology. Self-driving cars and automated flying drones are now in the testing stage before anticipated widespread use, while for certain learning and memory tasks, machines now outperform humans. Watson, an artificially intelligent computer system, beat the best human candidates at the quiz game Jeopardy. Artificial intelligence, in contrast to normal hardware and software, enables a machine to perceive and respond to its changing environment. Emergent AI takes this a step further, with progress arising from machines that learn automatically by assimilating large volumes of information. An example is NELL, the Never-Ending Language Learning project from Carnegie Mellon University, a computer system that not only reads facts by crawling through hundreds of millions of web pages, but attempts to improve its reading and understanding competence in the process in order to perform better in the future. Like next-generation robotics, improved AI will lead to significant productivity advances as machines take over – and even perform better – at certain tasks than humans. There is substantial evidence that self-driving cars will reduce collisions, and resulting deaths and injuries, from road transport, as machines avoid human errors, lapses in concentration and defects in sight, among other problems. Intelligent machines, having faster access to a much larger store of information, and able to respond without human emotional biases, might also perform better than medical professionals in diagnosing diseases. The Watson system is now being deployed in oncology to assist in diagnosis and personalized, evidence-based treatment options for cancer patients. Long the stuff of dystopian sci-fi nightmares, AI clearly comes with risks – the most obvious being that super-intelligent machines might one day overcome and enslave humans. This risk, while still decades away, is taken increasingly seriously by experts, many of whom signed an open letter coordinated by the Future of Life Institute in January 2015 to direct the future of AI away from potential pitfalls. More prosaically, economic changes prompted by intelligent computers replacing human workers may exacerbate social inequalities and threaten existing jobs. For example, automated drones may replace most human delivery drivers, and self-driven short-hire vehicles could make taxis increasingly redundant.On the other hand, emergent AI may make attributes that are still exclusively human – creativity, emotions, interpersonal relationships – more clearly valued. As machines grow in human intelligence, this technology will increasingly challenge our view of what it means to be human, as well as the risks and benefits posed by the rapidly closing gap between man and machine.
2015
Top 10 emerging technologies of 2015
World Economic Forum (WEF)
Emergence of Disruptive Technology
Disruptive technologies will continue to evolve in the coming decades. Hence, it is in the hands of policy makers, entrepreneurs, business leaders and citizens to maximise application of these technologies while dealing with the challenges.
2017
Science & Technology Foresight Malaysia
Malaysia, Academy of Sciences Malaysia
Embracing the Rise of Enterprise Behavioural Science
We expect to see 2018 as the year that behavioural science takes hold in the enterprise, with savvy companies embracing these economic and social science principles to increase worker productivity and nudge consumers towards desirable outcomes. Media attention on early adopters and Nobel Prize recognition of the discipline’s founder will prompt growing adoption in 2018. Brace yourself for a flurry of behavioural science consultancies, as well as more behavioral scientists in HR, strategy, and marketing positions.
2018
Top 10 Tech Trends For 2018
Forbes
Embodied AI
AI is everywhere. Along with IoT sensors, it’s integrated in many products, from simple cameras to sophisticated drones. Embedded sensors collect data, which is fed to algorithms that give that object the illusion of intelligence. This enables drones to follow a moving object like a truck or a person autonomously. It enables a 3-D printer to automatically modify a design as it is being printed to have a stronger structure, become lighter, or be more cost effective to print. It enables AR glasses to overlay data on an anchored endpoint or allow you to communicate via voice with a robot or conversational agent.
2017
The Essential Eight - Your guide to the emerging technologies revolutionizing business now
PWC
Elements electronics based on memristors
New opportunities to create neuromorphic computer systems with a revolutionary new architecture will be opened up by memristor-based electronics. This drastically increases their performance when solving problems which have been poorly programmed on classic computers, and significantly reduces their energy consumption. In the field of “smart” electronics, it may be possible to make controlled changes to the electrical resistance of functional materials with long-term storage of the specified status, which will make it possible to use these structures as equivalents to synapses when setting up the hardware for neural networks and building neuromorphic computer systems.
2016
Russia 2030: science and technology foresight
Russia, Ministry of Education and Science of the Russian Federation
Electronic nose
(Definition) The technology is an electronic device which imitates human olfactory system as human nose cannot continuously smell different odors and there is a limit to which it can detect. (Application) Through the reaction with odor molecules, the technology can detect harmful substances, for example, food, environment and medicine. (Impact) Real time approach to human body risk information will lead to a change in food distribution environment. The biosensor will create $ 14.4billion economic benefit.
2014
KISTEP 10 Emerging Technologies 2014
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Electronic elements based on graphene, fullerene, carbon nanotubes, quantum dots
An important breakthrough in the electronics industry will be the development of electronic elements based on graphene, fullerene, carbon nanotubes and quantum dots. The electronic devices developed on the basis of these, with very small dimensions and weights, will have very high functional parameters. It is anticipated that after development of the frequency range up to several terahertz and significantly increasing the performance of computer systems, fundamentally new communications devices could be created with unprecedented broad-band channels. This will open up a new niche for high-speed data transfer networks with small ranges and will make it possible to completely abandon the use of cables when connecting audio, television and video devices and home cinema equipment when transferring multi-threaded video at high resolution. Graphene photodiodes, used as photo receivers in the terahertz range, could be mounted in compact security systems (to detect arms, drugs, explosives, etc.).
2016
Russia 2030: science and technology foresight
Russia, Ministry of Education and Science of the Russian Federation
Electroceuticals - Nerve-stimulating therapies could soon replace drugs for many chronic conditions
Electroceuticals—devices that treat ailments with electrical impulses—have a long history in medicine. Think pacemakers for the heart, cochlear implants for the ears and deep-brain stimulation for Parkinson’s disease. One of these approaches is poised to become more versatile, dramatically improving care for a host of conditions. It involves delivering signals to the vagus nerve, which sends impulses from the brain stem to most organs and back again. New uses of vagal nerve stimulation (VNS) have become possible in part because of research by Kevin Tracey of the Feinstein Institute for Medical Research and others showing that the vagus nerve emits chemicals that help to regulate the immune system. The release of a specific neurotransmitter in the spleen, for instance, quiets immune cells involved in inflammation throughout the body. These findings indicated that VNS might be beneficial for disorders beyond ones marked by disturbed electrical signaling, such as autoimmune and inflammatory conditions. It could be a boon for patients with those conditions because existing drugs often fail or cause serious side effects. VNS may be easier to tolerate because it acts on a specific nerve, whereas drugs generally travel throughout the body, potentially disrupting tissues beyond those targeted for treatment.
2018
Top 10 Emerging Technologies of 2018
Scientific American