Trends Identified
Cloud Revolution
Cloud services – from technology evolution to business revolution By helping organizations radically lower their cost of entry, speed time-to-solution, and put into place new models for elastic scale and pricing, cloud represents a compelling new chapter for how enterprises can better use IT. Though the technology itself is evolutionary in nature, its business applications are nothing short of revolutionary.
2010
Depth perception A dozen technology trends shaping business and IT in 2010
Deloitte
Cloud solutions
Cloud solutions are already on offer on IT services markets. It is sufficient to note the dramatic growth and publicity accorded to services to store content in the “cloud” which are being developed and supported by all of the major companies in the segment, as well as the increasing trend of migrating towards Internet-based applications and leading global software manufacturers moving to business models geared towards a “thin client”. According to recent research by McKinsey Global Institute, by 2025 the annual market potential of cloud technologies and applications according to various developmental scenarios for the global economy could range from 1.7 to 6.2 trillion dollars.
2016
Russia 2030: science and technology foresight
Russia, Ministry of Education and Science of the Russian Federation
Cloud Technology
Cloud technology allows users to access scalable technology services immediately via the Internet’s existing network, promoting lower infrastructure, inventory, and overhead costs, and creating leaps in computing power and speed, data storage, and bandwidth.
2017
Beyond the Noise- The Megatrends of Tomorrow’s World
Deloitte
Cloud technology
Use of computer hardware and software resources delivered over a network or the Internet, often as a service
2013
Disruptive technologies: Advances that will transform life, business, and the global economy
McKinsey
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
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
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)
Cognetive prosthetics
Example of Organizationsactive in the area: Darpa (US).
2018
Table of disruptive technologies
Imperial College London
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