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Urban IoT may bring considerable benefits in the traditional public services, such as transport and parking, surveillance and maintenance of public areas, preservation of cultural heritage, garbage collection, lighting etc. Explaining the pulling of Big Data, Betsy Burton, the Gartner analyst, noted that, due to its widespread use, it “has become a part of many hype cycles”, so that Big Data cannot be treated as an emerging technology anymore.Īnother technology that found its niche in the Smart Cities market is IoT which has become a major research and innovation stream leading to diverse opportunities for adaptation of ICT solutions in the management of public affairs, thus facilitating the realization of the Smart City concept. The ability of IoT to enable easy access and interaction with a wide range of devices, such as home appliances, surveillance cameras, monitoring sensors and so on, fosters the development of a variety of applications allowing provision of new services to citizens, companies and local administrations in home and industrial automation, medical aids, mobile healthcare and many other domains. In London, for instance, there exist about 500 datasets available on a public website via a city dashboard that shows a range of data on air pollution, crime statistics, and even allows citizens to track the real-time location of buses. Philadelphia estimates that it saves around $1 million every year from fitting rubbish bins with sensors that collect the data on when the bin is full, thus reducing the number of collections required. Big Data touches so many aspects of everyday life that it has even been retired from the Gartner’s 2015 Hype Cycle for Emerging Technologies, which shows the maturity and adoption of specific technologies through various stages. That might be a good place to start.Big Data is evolving with advanced technologies and analytics to help Smart Cities elaborate new ways of dealing with pollution, conserving and managing resources, increasing operating efficiencies. Think about actual business needs, infrastructure impacts and how your enterprise architectures need to evolve.Īnd if you’re a vendor still trying to capitalize on big data, maybe it’s time to shift your marketing. Still thinking about “doing big data?” Don’t make knee-jerk reactions. (Gartner clients can read more about these developments in “ The Demise of Big Data, Its Lessons and the State of Things to Come.”) The technology landscape continues to change rapidly, but new options look increasingly like old options and old options are evolving quickly. The characteristics that defined big data, those pesky 3 Vs, are no longer exotic. Instead, the various topics formerly encompassing big data evolved into other areas. The reason for both is simple: big data is no longer a topic unto itself.
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Second, we retired the very popular Hype Cycle for Big Data. First, the big data technology profile dropped off a few Hype Cycles, but advanced into the Trough of Disillusionment in others. This year saw two major changes in the Hype Cycles related to big data. The attention they attract is a testament to their usefulness. They provide not only a scorecard to separate hype from reality, but also a model that helps enterprises decide when they should adopt a new technology. Hype Cycles offer an overview of the relative maturity of technologies, services and business disciplines in a certain domain. Each July and August sees the publication of the Gartner Hype Cycles.