{"id":633822,"date":"2018-02-23T00:00:00","date_gmt":"2018-02-22T23:00:00","guid":{"rendered":"https:\/\/www.ie.edu\/insights\/latest-news\/articles\/location-analytics-big-data-and-artificial-intelligence-the-genesis-of-the-new-data-scientist\/"},"modified":"2019-02-06T12:43:18","modified_gmt":"2019-02-06T11:43:18","slug":"location-analytics-big-data-and-artificial-intelligence-the-genesis-of-the-new-data-scientist","status":"publish","type":"articles","link":"https:\/\/www.ie.edu\/insights\/articles\/location-analytics-big-data-and-artificial-intelligence-the-genesis-of-the-new-data-scientist\/","title":{"rendered":"Location Analytics, Big Data, and Artificial Intelligence: The Genesis of the New Data Scientist"},"featured_media":636342,"template":"","meta":{"_has_post_settings":[]},"schools":[],"areas":[21,26],"subjects":[],"class_list":["post-633822","articles","type-articles","status-publish","has-post-thumbnail","hentry","areas-innovation","areas-technology"],"custom-fields":{"wpcf-article-leadin":["Location analytics, data analysis, and machine learning have given rise to a new professional profile that would have been inconceivable just a few years ago. Companies and institutions need experts in these disciplines to help them make predictions for all sorts of contexts. These models provide value by saving money and optimizing resource use. Your imagination is the limit."],"wpcf-article-body":["Big data is revolutionizing the management of large volumes of information, giving rise to new solutions capable of self-teaching without help from human beings. Google\u2019s AlphaGo, for example, shows that machines are capable of achieving superhuman capacities without human intervention. In other words, human knowledge is no longer essential.\r\n\r\nIn light of these disruptions\u2014and those yet to come\u2014we must redesign our education systems to create unprecedented professional profiles. The private sector is fully aware of what this shift means for the business world. Institutions, too, are preparing themselves for the arrival of mind-boggling changes.\r\n\r\nOn the political front, the United Arab Emirates\u2014a leader in data technologies<\/a> and the site of some of Esri\u2019s most important projects and agreements\u2014has announced the appointment of its first Minister of Artificial Intelligence, who will be responsible for applying AI tools in all government-managed services.\r\n\r\nThe United States has also embraced the potential of AI across all sectors, developing a strategic<\/a> plan for this purpose. Meanwhile, Europe is developing regulations on the ethical treatment of robots.\r\n
A new executive post called \u2018chief artificial intelligence officer\u2019 has been created to oversee AI solutions and to address complex problems for which little information is available.<\/blockquote>\r\nNew profiles on the horizon<\/strong>\r\n\r\nAs these new technologies<\/a> proliferate, private-sector organizations have begun to incorporate a new profile into their ranks. A new executive post called chief artificial intelligence officer<\/em> has been created to oversee AI solutions and to address complex problems for which little information is available. The CAIO must have scientific skills\u2014mainly in cognitive processes, prediction, simulation, etc.\u2014plus a vision of engineering for the application of symbolic, connectionist, and hybrid paradigms.\r\n\r\nAdvances in neuroscience have led to the development of new computer-based techniques that provide a better approach to these problems. The appearance of such tools is one of the key characteristics of the current cycle of AI, which has been with us since the mid-1950s.\r\n\r\nExperts in these disciplines are now needed in the business world\u2014and indeed, in all professions. The police in Vancouver, Canada, for example, are using machine learning and geospatial solutions provided by Esri to improve their understanding of crime rates. These data have allowed criminal situations to be predicted with 80% accuracy, bringing about a 27% reduction in crime in the studied areas.\r\n\r\n \r\n\r\nCodified cities: geospatial data fertilize smart territory<\/strong>\r\n\r\nAnother new profile\u2014the data scientist<\/em>\u2014is poised to become highly useful for local governments worldwide. Data scientists are a perfect fit for smart cities<\/a>, since their job is to solve problems in various disciplines by analyzing data. One real-life example was an outbreak of legionnaires\u2019 disease in New York City. A building-by-building analysis made it possible to focus on key areas, optimize resource allocation, and find solutions. The efficiency of the operation also led to significant cost savings. This is just one example; data science and location analytics can be applied in a wide range of fields, including mobility, telecommunications, and many more.\r\n
Analyses based on geoprocessing involve the use of seemingly magical tools like the \u2018spatial join\u2019 operation, which enriches a model by appending information from different layers.<\/blockquote>\r\nSolutions for infrastructure<\/strong>\r\n\r\nIn geographical contexts, AI and big data solutions always follow the same pattern. The first step is to import information from various sources. That dataset is then used to build a multi-layer model. Finally, training and comparison are carried out to establish a solution.\r\n\r\nAnalyses based on geoprocessing involve the use of seemingly magical tools like the \u201cspatial join\u201d operation, which enriches a model by appending information from different layers.\r\n\r\nThis process can be applied, for example, to infrastructure safety. By crossing and correlating data\u2014human, natural, and climatic factors, type of road, etc.\u2014it is possible to create a map that minimizes the risk of accidents at a particular spot and improves our understanding of the environment. Such a map can be used to predict accidents and optimize resource management, for example by dispatching ambulances to the most dangerous areas.\r\n

\"Localizacion<\/p>\r\nWith big data helping to solve difficult problems, data scientists are gaining a higher profile. Given the nature of their activity\u2014which will become increasingly crucial in the coming years\u2014these in-demand professionals are commanding high salaries. The emergence of this new profession shows that big-data technologies<\/a> yield a high return on investment. These highly disruptive tools are revolutionizing many industries through the real-time use of data and the optimization of action planning. The methodology is always the same: search for data, build models using \u201cspatial join,\u201d train various networks and models, and deploy the system. With methods and technological platforms like Esri\u2019s, which can be applied throughout the value chain for geolocalized data\u2014from capture and storage to analysis and display\u2014is it possible to successfully tap into the opportunities offered by these new technologies.\r\n\r\n \r\n\r\n\u00a9 IE Insights.\r\n\r\n "],"wpcf-article-extract-enable":["1"],"wpcf-article-extract":["By Demetrio Barrag\u00e1n and Pedro Torres<\/strong>. Location analytics, data analysis, and machine learning have given rise to a new..."],"wpcf-article-summary-enable":["1"],"wpcf-article-summary":["Big data has given rise to technologies like artificial intelligence and machine learning, which can achieve superhuman capacities without human intervention. New professional profiles are needed for the management of these technologies. The United Arab Emirates has announced the appointment of its first Minister of Artificial Intelligence, and various organizations have created a new position called chief artificial intelligence officer (CAIO). Among other applications, the technologies have been used in infrastructure design to minimize the risk of accidents. With methods and technological platforms like those of Esri, the figure of the data scientist demonstrates the opportunities offered by big-data technologies in both the private and public sectors."]},"_links":{"self":[{"href":"https:\/\/www.ie.edu\/insights\/wp-json\/wp\/v2\/articles\/633822","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ie.edu\/insights\/wp-json\/wp\/v2\/articles"}],"about":[{"href":"https:\/\/www.ie.edu\/insights\/wp-json\/wp\/v2\/types\/articles"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ie.edu\/insights\/wp-json\/wp\/v2\/media\/636342"}],"wp:attachment":[{"href":"https:\/\/www.ie.edu\/insights\/wp-json\/wp\/v2\/media?parent=633822"}],"wp:term":[{"taxonomy":"schools","embeddable":true,"href":"https:\/\/www.ie.edu\/insights\/wp-json\/wp\/v2\/schools?post=633822"},{"taxonomy":"areas","embeddable":true,"href":"https:\/\/www.ie.edu\/insights\/wp-json\/wp\/v2\/areas?post=633822"},{"taxonomy":"subjects","embeddable":true,"href":"https:\/\/www.ie.edu\/insights\/wp-json\/wp\/v2\/subjects?post=633822"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}