Trends Identified
Collaborative economy tools
                        Collaborative economy tools leverage the power of social networks and technology to promote new models of consumption, novel employment and income generation opportunities.
                        2016
                        Ten Frontier Technologies for International Development
                        Institute of Development Studies (IDS)
                        
                    Collaborative business networks: Opportunistic & Systematic
                        More than half of all CEOs believe that collaborative networks will play a major role in the way companies operate in the future. CEOs in Asia Pacific – one of the world’s fastest-growing regions – are particularly convinced about the value of collaborative networks. At present, networks are mainly used to accomplish ‘soft’ goals such as the advancement of learning and sharing of best practice, rather than to enhance product and service pipelines. Most companies have not yet developed a systematic way of developing and capitalising on networks. They are still opportunistic in their approach. Effective collaboration requires a clear understanding of the kinds of networks that are possible, the business objectives of the different stakeholders and the risks.
                        2008
                        11th Annual global CEO Survey
                        PWC
                        
                    Collaborations
                        Governments, businesses, international financial institutions, the United Nations, civil society and academia are developing new ways of working with each other in pursuit of compatible objectives.
                        2015
                        SDG industry matrix
                        KPMG
                        
                    Cognitive Robotics
                        Cognitive robotics applies cognitive models of humans or animals to robots in order to recreate intelligence. Robots developed based on the technology can be function like humans.
                        2009
                        KISTEP 10 Emerging Technologies 2009
                        South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
                        
                    Cognitive analytics - Wow me with blinding insights, HAL
                        Artificial intelligence, machine learning, and natural language processing have moved from experimental concepts to potential business disruptors— harnessing Internet speed, cloud scale, and adaptive mastery of business processes to drive insights that aid real-time decision making. For organizations that want to improve their ability to sense and respond, cognitive analytics can be a powerful way to bridge the gap between the intent of big data and the reality of practical decision making.
                        2014
                        Tech trends 2014 - Inspiring Disruption
                        Deloitte
                        
                    Cognetive prosthetics
                        Example of Organizationsactive in the area: Darpa (US).
                        2018
                        Table of disruptive technologies
                        Imperial College London
                        
                    CO2 Absorption and Storage Material
                        International interest in CO2 reduction seems to continue, due to issues such as sustainable growth and environmental protection. Therefore, successful development of porous new nano materials, which can ively extract and save CO2, will have a great ripple effect. In addition to storage, there will be more interest on the extraction technology that is highly efficient and ive when needed.
                        2011
                        KISTEP 10 Emerging Technologies 2011
                        South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
                        
                    Cloud to the Edge
                        Edge computing describes a computing topology in which information processing and content collection and delivery are placed closer to the sources and sinks of this information. Edge computing draws from the concepts of mesh networking and distributed processing. It tries to keep the traffic and processing local, with the goal being to reduce traffic and latency. As such, the notion of edge content delivery has existed for many years. The "where to process the data" pendulum has swung between highly centralized approaches (such as a mainframe or a centralized cloud service) and more decentralized approaches (such as PCs and mobile devices). Connectivity and latency challenges, bandwidth constraints and greater functionality embedded at the edge favor distributed deployment models. The advantages of processing power and low costs of operating at hyperscale, coupled with the complexity of managing and coordinating thousands of geographically separated endpoints, favor the centralized model. 
                        2017
                        Top 10 Strategic Technology Trends for 2018
                        Gartner
                        
                    Cloud technology, including big data
                        Enables the delivery of computer applications and services over the internet reducing storage and computer power needs. Big data enabled by cloud allows predictive relationships to form, underpinning optimisation.
                        2017
                        Innovation for the Earth - Harnessing technological breakthroughs for people and the planet
                        PWC