Trends Identified
Artificial intelligence
Software algorithms are automating complex decision-making tasks to mimic human thought processes and senses. Artificial intelligence (AI) is not a monolithic technology. A subset of AI, machine learning, focuses on the development of computer programs that can teach themselves to learn, understand, reason, plan, and act when blasted with data. Machine learning carries enormous potential for the creation of meaningful products and services — for example, hospitals using a library of scanned images to quickly and accurately detect and diagnose cancer; insurance companies digitally and automatically recognizing and assessing car damage; or security companies trading clunky typed passwords for voice recognition.
2017
The Essential Eight - Your guide to the emerging technologies revolutionizing business now
PWC
Artificial intelligence
AI is about machines with human attributes - speaking, reading, seeing and even recognising emotion - completing tasks while also "learning" from repeated interactions. Using algorithms that adapt to location, speech or user-history machines can perform tasks that are dangerous or tedious, more accurately or much faster than humans. Within a few years, analysts predict that all software will use AI at some level, according to US research and advisory firm Gartner. Importantly AI offers the opportunity to continuously tailor products and services providing a competitive advantage over rivals that is not easily copied. The question to ask is 'how can AI help my organisation?
2019
Five tech trends for 2019
University of Technology Sydney
Artificial intelligence (AI) and automation are likely to revolutionize the industrial landscape
Artificial intelligence (AI) and automation are likely to revolutionize the industrial landscape. This unfolding transformation is already leading to faster earnings growth potential at some of the large companies that have invested in developing these new technologies. This likely leads to new opportunities among start-up or smaller firms as these technologies mature.
2018
Eight long-term trends for growth investors
Morgan Stanley
Artificial Intelligence (AI) Everywhere
AI technologies will be the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data and unprecedented advances in deep neural networks
2017
Top Trends in the Gartner Hype Cycle for Emerging Technologies, 2017
Gartner
Artificial intelligence and machine learning
Progress in AI has accelerated rapidly since around 2010, driven by the confluence of the growing availability of large data sets from commerce, social media, science and other sources; continued improvements in computational power; and the development of better machine learning algorithms and techniques (such as “deep learning”). Systems are now capable of learning how to accomplish a task without having been provided with explicit steps for doing so. Once designed and deployed, the neural network that underpins modern AI can formulate its own rules for interpreting new data and designing solutions, with minimal— or no— human participation.
2018
World Economic And Social Survey 2018: Frontier Technologies For Sustainable Development
United Nations
Artificial Intelligence Security Technology
[Definition] Technology for AI-level security system which discovers weak points or blocks attacks through automatic collection and analysis of data, or for monitoring of AI itself. [Application] Applies AI technology in responds to risks of unfair use or malfunctioning of AI and accident prevention, detecting security risks.
2018
KISTEP 10 Emerging Technologies 2018
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Artificial intelligence/cognitive computing
Smart software systems
2016
Disruptive technologies barometer
KPMG
Asian economies are booming, with a growing services sector and rising incomes
Asia’s population and economy is booming, including the major emerging economies in South-East Asia. Asia’s share of global GDP grew from 23.2% in 1990 to 38.8% in 2014 and it is predicted to continue ascending to nearly 45% by 202582.
2017
Surfing the digital tsunami
Australia, Commonwealth Scientific and Industrial Research Organisation (CSIRO)
Assessing the global landscape
Our annual survey of CEOs continues to note high levels of global business confidence, both in the short and medium term – an upward trend we have charted in four of the past five years. As figure 1.1 indicates, the outlook for revenue growth continues to be strong over the next year, the CEOs say, with 52% ‘very confident’ and 40% ‘somewhat confident’. Overall, confidence levels have nearly doubled since 2001.
2007
10th Annual global CEO Survey
PWC
Asset Intelligence
Bring your value chain to life using signals, not just sensors IT models of business operations have long relied on software abstractions and data approximations, with decisions derived from information systems running within corporate data centers. Other company assets, such as finished goods, equipment, materials, plants, and even many employees, were disconnected or passive participants. Until now.
2010
Depth perception A dozen technology trends shaping business and IT in 2010
Deloitte