doi:10.17975/SFJ-2015-004STEM FellowshipBianchiMollieD'ErcoleJosephLawrynuikThomasLeoneAlexandra
we derive additional dimensions required to understand the susceptibility of jobs to computerisation.Needless to say, a number of factors are driving decisions to automate and we cannot capture these in full. Rather we aim
The rollout of 5G networks is already improving communication speeds and enabling the development of smart cities. But the true potential of 5G lies beyond faster downloads—it will power the next generation of the Internet of Things (IoT), autonomous vehicles, and more immersive virtual and augm...
"By 2025, IDC projects that 75% of CIOs and CFOs will be forced to accelerate or enact formal technical debt management practices due to project delays or failures caused by unresolved technical debt." (Source:CIO Futurescape Predictions 2022, IDC) Businesses will need to look deeper into their...
10 Predictions About the Future of Finance bymcsee Aug 14, 2022 #the-future-of-finance The Noonification: Use This 7-Step McKinsey Framework to Solve Any Problem (1/10/2023) bynoonification Jan 11, 2023 #noonification The Noonification: A Taxonomy of Inclusiveness (1/11/2024) ...
For more information visit theFuture Carsblog category and check out the latest happenings and predictions. Credits include: Cosmic Motors, Terrafugia, Ferrari, Hussar Dakar External Links Youtube Video of the VW Maglev Hover Car http://youtu.be/Ew4Y5HLyT6c...
The potential of deep learning seems boundless, but developers are still figuring out how to put it to work. These near-term trends will help move it along
To answer that, we’ve updated our IT trends and predictions to give you a clear picture of how the whole pandemic will impact these industries in the short and long term. 1. Accelerated Digital Transformation It’s not that industries were ignoring digital transformation before the pandemic. ...
Programmers will play an essential role in the development of advanced software systems. Introduction of New Programming Languages Innovative programming languages, such as Rust, Elixir, Dart, Swift, and others, are rapidly gaining traction. They can handle intensive workloads, are widely applicable, ...
Despite the challenges, the future of AI is bright. Here are some of the crucial predictions outlining that future: 1. Continued growth and advancement of AI in areas like: Natural language processing:AI will become even more adept at understanding and responding to human language, enabling more...