dear reader, are not a statistician and don’t care, but imagine that for the statistician, this feels a little bit like how identity theft might feel for you. Although we will make the case that data science isnotjust a rebranding of statistics...
Datafication is also known as datafy. An organization that implements datafication is said to be datafied. Techopedia Explains Datafication Organizations require data and extract knowledge and information to perform critical business processes. An organization also uses data for decision making, strategies ...
It also accelerates research and development in fields such as drug discovery, materials science, and artificial intelligence. On the whole, quantum computing is 2025’s one of the exciting trends in information technology, and it is likely that we will see many more applications of this powerful...
Datafication of business processes– Datafication holds significant opportunities for business process improvement as well, argue the Ericsson report authors. It is explained that lowering costs and increasing bandwidth availability has meant that datafication is entering new territories, particularly in the a...
Feed their platforms some data — financial earnings statistics, let’s say — and poof! In seconds, out comes a narrative that tells whatever story needs to be told.” (Marr, 2019). Arguably, this is neither Kantian nor Hegelian critique; rather, it is a narrative being generated from ...
Depending on the frames used, people give a technology a certain meaning, affecting the paths it takes and whether or not it is adopted (Kaplan & Tripsas, 2008). The remainder of this paper is structured as follows. In the next section, we review research into big data in the public ...
MIT Computer Science Professor How does ML work? A machine learning model is like a mathematical formula that the algorithm uses to make sense of the training data. Unlike traditional programming language, where rules are explicitly coded, ML algorithms find patterns in data to make predictions or...
While concerns about equity, datafication, workload, regulation via inspection and tests and exams and the costs of competition are part and parcel of everyday life and attributed to a system organised around centralised governance and local management (e.g. Courtney, 2015; Gunter & McGinity, ...
Data colonialismdataficationcritical data studiesextractivismdecolonizationThis article traces the emergence of a decolonial turn in critical technology and data studies that analyzes the transformation of society through data extraction for profit. First, we offer a genealogy of concepts over the last ...
At the same time, scandals across Europe, linked to AI in public administration, have already shown that the idea of data-driven public administration is also about power, democracy and social change. More information:Datafication of Public Administration: Between Policy and Practice:ntnuopen.ntnu....