![]() The biggest opportunity for geospatial industry in AI is its core asset, which is geospatial data. AI is an “umbrella” concept that is made up of numerous subfields such as machine learning and deep learning. Artificial intelligence (AI)Īrtificial Intelligence (AI) has entered our daily lives like never. AI can be explained as algorithms that are capable of performing tasks that normally require human intelligence, such as visual perception, decision-making, or language processing. While listing the technologies, we also tell you how they are allied with geospatial and the future prospects viz a viz our industry. These technologies are at varying degrees of maturity some have been around for years but are finally hitting their stride, while others are maturing rapidly. In some cases, some of these technologies converge with geospatial to deliver solutions and have long-lasting impacts. What is of interest to us is all these eight technologies are closely associated with geospatial – either they directly benefit from location data or technologies, or directly empower geospatial. The team tracked more than 150 discrete technologies and analyzed for technologies with the most cross-industry and global impact over the coming years. So how do CEOs and their top teams even begin to make sense of the swirl of technological breakthroughs affecting business today? How do they gauge the impact of artificial intelligence on their companies’ future compared with, say, the Internet of Things or virtual reality? Courtesy – PwCĪ PwC study some time back identified top eight disruptive technologies that matter now, and will have far-reaching impact in the days to come. ![]() The fourth industrial revolution and oncoming of the second machine - as it is being often hailed - has led to new disruptive technologies emerging, even as many bit the dust in the last few years.
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