what is machine location learning
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what is machine location learning
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There is a certain level of stigma that exists around using machine learning and location data in business applications, understandably due to risks inherent in exploitation of individual privacy. But if we look under the hood of society’s daily web of interactions, we see that the location information economy—from GPS to radio signal based-triangulation to geo-tagged images and beyond—is now almost ubiquitous, from the moment we track our morning commute to the end-of-day search for healthy and convenient take-out for dinner.
As quoted by The Location Forum in its 2013 “Location Data Privacy Guidelines”, “location information…is rapidly becoming the newest “information weapon” used by CIOs, CMOs, COOs and digital strategists to gain a competitive advantage.”
Guidelines on how to collect, store, and use data are constantly evolving, quick enough that many companies need whole legal teams just to stay abreast of what’s kosher and what’s out of bounds on an almost daily basis. Being aware of data privacy laws is an essential component of leveraging information that is invaluable for today’s top business competitors. And while there are uses that consumers love to hate (mobile advertising, for example), there are also applications that have the potential to help protect both consumers and businesses on an unprecedented scale, such as purchase fraud protection.
The uses of machine learning in location data for business and industry are far more diverse than we can cover in one article; however, we’ve collected and expanded upon some of the current approaches that companies and organizations have taken in applying this technology.
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