Trends Identified
Industrialized analytics - Data is the new oil. Where are the refineries?
Data is a foundational component of digital transformation. Yet, few organizations have invested in the dedicated talent, platforms, and processes needed to turn information into insights. To realize data’s full potential, some businesses are adopting new governance approaches, multitiered data usage and management models, and innovative delivery methods to enable repeatable results and scale. Indeed, they are treating data analysis as a strategic discipline and investing in industrial-grade analytics.
2016
Tech trends 2016 - innovating in the digital era
Deloitte
Augmented analytics
Data scientists now have increasing amounts of data to prepare, analyze and group — and from which to draw conclusions. Given the amount of data, exploring all possibilities becomes impossible. This means businesses can miss key insights from hypotheses the data scientists don’t have the capacity to explore. Augmented analytics represents a third major wave for data and analytics capabilities as data scientists use automated algorithms to explore more hypotheses. Data science and machine learning platforms have transformed how businesses generate analytics insight. “By 2020, more than 40% of data science tasks will be automated” Augmented analytics identify hidden patterns while removing the personal bias. Although businesses run the risk of unintentionally inserting bias into the algorithms, augmented analytics and automated insights will eventually be embedded into enterprise applications. Through 2020, the number of citizen data scientists will grow five times faster than professional data scientists. Citizen data scientists use AI powered augmented analytics tools that automate the data science function automatically identifying data sets, developing hypothesis and identifying patterns in the data. Businesses will look to citizen data scientists as a way to enable and scale data science capabilities. Gartner predicts by 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader use by citizen data scientists. Between citizen data scientists and augmented analytics, data insights will be more broadly available across the business, including analysts, decision makers and operational workers.
2018
Gartner Top 10 Strategic Technology Trends for 2019
Gartner
On consumer experiences
Dave Welsh, Growth Equity leader, KKR. On consumer experiences: Moving beyond commerce, consumers are looking for more than material goods–experiences are the next opportunity for startups. Consumers have more disposable income today, leading to the desire to not just go somewhere, but to experience it like a local or to have a curated tour providing an extra level of depth and fun. This is the next frontier beyond Airbnb, Uber, and Lyft
2019
The biggest tech trends of 2019, according to top experts
Fast Company
Genetic modification of humans
Debates among scientists started roaring last year over a new technology that lets us edit human DNA. It’s called Crispr (pronounced ‘crisper’) and it’s a means of altering people’s DNA to carve diseases like cancer out of the equation.
2017
10 grand challenges we’ll face by 2050
The BBC
Managing by Anticipation
Decision-makers have always been faced with the tasks of addressing crises, leading change and responding to the unexpected. Recently, however, unexpected and constant change has become the norm, while the interconnections between separate and distinct crises are more tightly knit than ever. Technological innovations have amplified these trends to an unprecedented degree in terms of pace, scope, complexity and impact. And, while some crises are already loud and visible, others are less easy to spot or to predict, although they may potentially be more toxic in the long run.
2016
Shaping the future
European Strategy and Policy Analysis System (ESPAS)
Digital currency flow
Decreasing friction in payments & exchange
2018
Corum Top Ten Disruptive Technology Trends 2018
Corum
Deep learning accelerators
Deep learning accelerators such as GPUs, FPGAs, and more recently TPUs. More companies have been announcing plans to design their own accelerators, which are widely used in data centers. There is also an opportunity to deploy them at the edge, initially for inference and for limited training over time. This also includes accelerators for very low power devices. The development of these technologies will allow machine learning (or smart devices) to be used in many IoT devices and appliances.
2018
IEEE Computer Society Predicts the Future of Tech: Top 10 Technology Trends for 2019
IEEE Computer Society
Amazon and Facebook Lead OTT Bids for Major Sporting Rights
Delivering attractive premium content is critical to the success of any video service. Acquiring exclusive rights to popular sporting events is a well- trodden path to increased viewing figures.
2018
Top Tech trends 2018
Juniper Research
Resource scarcity and climate change
Demand for energy and water is forecast to increase by as much as 50% and 40% respectively by 2030. New types of jobs in alternative energy, new engineering processes, product design and waste management and re‐use will need to be created to deal with these needs. Traditional energy industries, and the millions of people employed by them, will see a rapid restructuring.
2017
Workforce of the future The competing forces shaping 2030
PWC
Other commodities
Demand for food will rise due to growing population and growing per capita food consumption. However, the growth rates in world agriculture1) will fall to 1.5% p.a. by 2030, compared to 2.1-2.3% p.a. over the past four decades. The world's food production is even threatened to fall by 2030 as a result of the projected changes in the ecosystem due to climate change. Agricultural efficiency is at risk due to water scarcity and limited sources of phosphate, an important component of mineral fertilizer. Conflicts will arise over the use of agricultural products as food or energy. Price will determine use
2011
Trend compendium 2030
Roland Berger Strategy Consultants