Trends Identified
Virtual reality
Virtual reality (VR) abolishes logistical limitations and makes anything possible. In a computer-generated simulation of a three-dimensional image or environment, viewers can use special equipment to interact with the simulation in realistic ways. The gaming and entertainment industries are obvious proving grounds for VR. However, VR has the potential to transform many other industries as well, especially in the realm of experiential training where workers can be put into hazardous, difficult, or cost-prohibitive situations without the intense risks associated with these activities in the real world.
2017
The Essential Eight - Your guide to the emerging technologies revolutionizing business now
PWC
Augmented Reality Everywhere - Coming soon: the world overlaid with data
Virtual reality (VR) immerses you in a fictional, isolated universe. Augmented reality (AR), in contrast, overlays computer-generated information on the real world in real time. As you look at or wear a device equipped with AR software and a camera—be it a smartphone, a tablet, a headset or smart glasses—the program analyzes the incoming video stream, downloads extensive information about the scene and superposes on it relevant data, images or animations, often in 3-D.
2018
Top 10 Emerging Technologies of 2018
Scientific American
The Next Big Question for Voice Assistants
Voice assistants continue to gain momentum, but there’s still little clarity around how this new interface affects the brandconsumer relationship, and how brands need to reposition themselves in light of this. With strong chances of more growth on the horizon, stakeholders in voice tech are having to consider questions that underline its durability and monetization potential in the future. Above all, they’re having to grapple with the need to commercialize voice assistants, and future-proof their role across the consumer purchase journey.
2019
Trends 19
GlobalWebIndex
AI for Molecular Design - Machine-learning algorithms are speeding up the search for novel drugs and materials
Want to design a new material for solar energy, a drug to fight cancer or a compound that stops a virus from attacking a crop? First, you must tackle two challenges: finding the right chemical structure for the substance and determining which chemical reactions will link up the right atoms into the desired molecules or combinations of molecules. Traditionally answers have come from sophisticated guesswork aided by serendipity. The process is extremely time-consuming and involves many failed attempts. A synthesis plan, for instance, can have hundreds of individual steps, many of which will produce undesired side reactions or by-products or simply not work at all. Now, though, artificial intelligence is starting to increase the efficiency of both design and synthesis, making the enterprise faster, easier and cheaper while reducing chemical waste. In AI, machine-learning algorithms analyze all known past experiments that have attempted to discover and synthesize the substances of interest—those that worked and, importantly, those that failed. Based on the patterns they discern, the algorithms predict the structures of potentially useful new molecules and possible ways of manufacturing them. No single machine-learning tool can do all this at the push of a button, but AI technologies are moving rapidly into the real-world design of drug molecules and materials.
2018
Top 10 Emerging Technologies of 2018
Scientific American
Environmental Impact
Water and air pollution, and soil degradation through acidification, contamination, desertification, erosion, or salination will remain problems, especially in densely populated, rapidly industrialising states.
2010
Global strategic trends - out to 2040
UK, Ministry of Defence
Wastewater is an asset, not a liability
Water is one of our most precious resources, yet our infrastructure is failing. Driven by global population growth and rising water scarcity, the UN reports that 75 percent of the world’s available freshwater is already polluted. Under-investment in water management is exacerbating the problem, causing serious impacts on human health and the environment. A key challenge is the high capital cost, and high energy requirements, of current wastewater treatment and management systems. By 2020 I predict that a new class of distributed systems, powered by advances in our ability to use biotechnology to extract resources, such as energy, from waste, and the dropping cost of industrial automation, will begin to change our approach to managing water globally. Rather than a liability, wastewater will be viewed as an environmental resource, providing energy and clean water to communities and industry, and ushering in a truly sustainable and economical approach to managing our water resources.
2014
14 tech predictions for our world in 2020
World Economic Forum (WEF)
Energy-efficient water purification
Water scarcity is a worsening ecological problem in many parts of the world due to competing demands from agriculture, cities and other human uses. Where freshwater systems are over-used or exhausted, desalination from the sea offers near-unlimited water but a considerable use of energy – mostly from fossil fuels – to drive evaporation or reverse-osmosis systems. Emerging technologies offer the potential for significantly higher energy efficiency in desalination or purification of wastewater, potentially reducing energy consumption by 50% or more. Techniques such as forward-osmosis can additionally improve efficiency by utilizing low-grade heat from thermal power production or renewable heat produced by solar-thermal geothermal installations.
2013
The top 10 emerging technologies for 2013
World Economic Forum (WEF)
2018 is the year of the bots
We all have gotten use to speaking with bots whenever we call to make airline reservations or to confirm our bank account balances. The use of natural language bots will expand from use as automated customer service agents to become routine for daily living.
2017
4 Technology Trends That Will Transform Our World in 2018
Fortune
Nature: 'We'll redefine the wild'
We all want to live in a world where species such as tigers, the great whales, orchids and coral reefs can persist and thrive and I am sure that the commitment that people have to maintaining the spectacle and diversity of life will continue. Over the past 50 years or so, there has been growing support for nature conservation. When we understand the causes of species losses, good conservation actions can and do reverse the trends. But it is going to become much harder. The human population has roughly doubled since the 1960s and will increase by another third by 2030. Demands for food, water and energy will increase, inevitably in competition with other species. People already use up to 40% of the world's primary production (energy) and this must increase, with important consequences for nature. In the UK, some familiar species will become scarcer as our rare habitats (mires, bogs and moorlands) are lost. We will be seeing the effects from gradual warming that will allow more continental species to live here, and in our towns and cities we'll probably have more species that have become adapted to living alongside people. We can conserve species when we really try, so I'm confident that the charismatic mega fauna and flora will mostly still persist in 2035, but they will be increasingly restricted to highly managed and protected areas. The survivors will be those that cope well with people and those we care about enough to save. Increasingly, we won't be living as a part of nature but alongside it, and we'll have redefined what we mean by the wild and wilderness. Crucially, we are still rapidly losing overall biodiversity, including soil microorganisms, plankton in the oceans, pollinators and the remaining tropical and temperate forests. These underpin productive soils, clean water, climate regulation and disease-resistance. We take these vital services from biodiversity and ecosystems for granted, treat them recklessly and don't include them in any kind of national accounting.
2011
20 predictions for the next 25 years
The Guardian
Technology for humanity (specifically machine learning).
We are approaching the point where technology can help resolve societal issues. We predict that large-scale use of machine learning, robots, and drones will help improve agriculture, ease drought, ensure supply of food, and improve health in remote areas. Some of these activities have already started, but we predict an increase in adoption rate and the reporting of success stories in the next year. “Sensors everywhere” and advances in IoT and edge computing are major factors contributing to the adoption of this technology. Recent events, such as major fires and bridge collapses, are further accelerating the urgency to adopt monitoring technologies in fields like forests and smart roads.
2018
IEEE Computer Society Predicts the Future of Tech: Top 10 Technology Trends for 2019
IEEE Computer Society