Trends Identified
Social Platforms Will Emerge as a New Source of Business Intelligence
The rapid growth of social media has been eye-popping—especially so in the last few years. Facebook, founded in 2004, now has more than half a billion users and is spending heavily to accommodate more. Twitter’s service generates billions of tweets per month. Social networks are not just a product of and for the young consumer: Many of the world’s Internet users aged 50 and over are active users of social media. And increasingly, businesses and government organizations are using social media to connect their constituents in an effort to improve collaboration. This is just the tip of the iceberg. The evolution of social media will continue to disrupt the way companies do business, posing new challenges to IT as it attempts to harness social media in the enterprise. The key driver of this change? The transformation of social networks into social platforms, each with its own ecosystem to fuel increasingly deeper levels of interaction. Social platforms have three major dimensions: functionality, or the basic capabilities these platforms offer; community, or the groups of people who belong to them; and user identity, the unique name and associated information that characterizes an individual.
2011
Accenture Technology Vision 2011
Accenture
Renewables step up to the plate; coal strikes out
The rapid deployment and falling costs of clean energy technologies; in 2016, growth in solar PV capacity was larger than for any other form of generation; since 2010, costs of new solar PV have come down by 70%, wind by 25% and battery costs by 40%.
2017
World energy outlook 2017 executive summary
International Energy Agency (IEA)
Globalisation
The rapid convergence between the E7 (emerging seven economies of China, India, Brazil, Mexico, Indonesia, Russia and Turkey) and the G7 (global seven economies of Unites States, United Kingdom, France, Germany, Japan, Canada and Italy) has been accelerated by the global financial crisis. In 2007, total G7 gross domestic product (GDP, a country’s total economic output) at Purchasing Power Parity (PPP, the purchasing value in the local economy) was still around 60 percent larger than total E7 GDP8, yet by the end of 2010, PriceWaterhouseCoopers (PWC, a global consulting firm) estimates the gap had shrunk to around only 35 percent. The catch-up process is set to continue over the next decade: by 2020 total E7 GDP could already be higher than total G7 GDP.
2012
The future
Steria
Look who’s talking
The rapid adoption of technology and the spoken word to enrich our lives.
2019
Trends 2019
Mindshare
Commercial Drones
The race is on!
2017
Top 50 Emerging Technologies 2017
Frost & Sullivan
Informatics for adding value to information
The quantity of information now available to individuals and organizations is unprecedented in human history, and the rate of information generation continues to grow exponentially. Yet, the sheer volume of information is in danger of creating more noise than value, and as a result limiting its effective use. Innovations in how information is organized, mined and processed hold the key to filtering out the noise and using the growing wealth of global information to address emerging challenges.
2012
The top 10 emerging technologies for 2012
World Economic Forum (WEF)
Quantified Self (Predictive Analytics)
The quantified-self movement has existed for many years as a collaboration of people collecting continual data on their everyday activities in order to make better choices about their health and behaviour. But, with today’s Internet of Things, the movement has begun to come into its own and have a wider impact. Smartphones contain a rich record of people’s activities, including who they know (contact lists, social networking apps), who they talk to (call logs, text logs, e-mails), where they go (GPS, Wi-Fi, and geotagged photos) and what they do (apps we use, accelerometer data). Using this data, and specialized machine-learning algorithms, detailed and predictive models about people and their behaviours can be built to help with urban planning, personalized medicine, sustainability and medical diagnosis. For example, a team at Carnegie Mellon University has been looking at how to use smartphone data to predict the onset of depression by modelling changes in sleep behaviours and social relationships over time. In another example, the Livehoods project, large quantities of geotagged data created by people’s smartphones (using software such as Instagram and Foursquare) and crawled from the Web have allowed researchers to understand the patterns of movement through urban spaces. In recent years, sensors have become cheap and increasingly ubiquitous as more manufacturers include them in their products to understand consumer behaviour and avoid the need for expensive market research. For example, cars can record every aspect of a person’s driving habits, and this information can be shown in smartphone apps or used as big data in urban planning or traffic management. As the trend continues towards extensive data gathering to track every aspect of people’s lives, the challenge becomes how to use this information optimally, and how to reconcile it with privacy and other social concerns.
2014
Top 10 emerging technologies for 2014
World Economic Forum (WEF)
Workforce Reimagined: Collaboration at the intersection of humans and machines
The push to go digital is amplifying the need for humans and machines to do more, together. Advances in natural interfaces, wearable devices, and smart machines will present new opportunities for companies to empower their workers through technology. This will also surface new challenges in managing a collaborative workforce composed of both people and machines. Successful businesses will recognize the benefits of human talent and intelligent technology working side by side in collaboration—and they will embrace them both as critical members of the reimagined workforce.
2015
Accenture Technology Vision 2015
Accenture
Unmanned aerial vehicles/ Drones
The proliferation of unmanned aerial vehicles (UAVs) – commonly known as drones – that are easy to use and low cost is leading to their widespread deployment in aerial inspection tasks, mapping physical and social phenomena, providing unmanned cargo deliveries, and taking aerial photography and video. There is a clear opportunity to transform the way development organisations collect and deliver data and physical objects, enabling these tasks to be undertaken faster, safer, cheaper, more efficiently and more accurately than ever before.
2016
Ten Frontier Technologies for International Development
Institute of Development Studies (IDS)
Digitization
The proliferation of new mobile technologies, the rise of the Internet of Things, reliance on sensor and wearable technologies, and increased reliance on digital interaction has shifted the world from an analog to a digital one.
2017
Beyond the Noise- The Megatrends of Tomorrow’s World
Deloitte