Predicting the future is hard and risky. Predicting the future in the computing industry is even harder and riskier due to dramatic changes in technology and limitless challenges to innovation. Only a small fraction of innovations truly disrupt the state of the art. Some are not practical or cost-effective, some are ahead of their time, and some simply do not have a market. There are numerous examples of superior technologies that were never adopted because others arrived on time or fared better in the market. Therefore this document is only an attempt to better understand where technologies are going. The book The Innovator’s Dilemma and its sequels best describe the process of innovation and disruption.
In 2014, a team of technical leaders from the IEEE Computer Society joined forces to write a technical report, entitled IEEE CS 2022, surveying 23 technologies that could potentially change the landscape of computer science and industry by the year 2022. In particular, this report focused on 3D printing, big data and analytics, the open intellectual property movement, massively online open courses, security cross-cutting issues, universal memory, 3D integrated circuits, photonics, cloud computing, computational biology and bioinformatics, device and nanotechnology, sustainability, high-performance computing, the Internet of Things, life sciences, machine learning and intelligent systems, natural user interfaces, networking and inter-connectivity, quantum computing, software-defined networks, multicore, and robotics for medical care.
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