Data Mining is a process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use.
The term “data mining” is a misnomer, because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (mining) of data itself. It also is a buzzword and is frequently applied to any form of large-scale data or information processing (collection, extraction, warehousing, analysis, and statistics) as well as any application of computer decision support system, including artificial intelligence (e.g., machine learning) and business intelligence.
—Wikipedia, “Data mining“
AI has not yet delivered on the promises in industry practice. The core business of industrial enterprises is not yet AI-enhanced.
We see a major need for future research regarding functional capabilities and realization technologies for an enterprise data marketplace.
“This is what China calls “Internet Plus,” but critics call a 21st-century police state.” – BEHIND THE FIREWALL: How China tamed the Internet | This is part 5 of 6 of a series examining the impact of China’s Great Firewall, a mechanism of Internet censorship and surveillance that affects nearly 700 million users.
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Though privacy concerns limit the quantity of information they will be able to use, as the pandemic gradually clears, researchers will have data from the most closely tracked outbreak of its kind to gauge the effectiveness of the many strategies countries have used to tackle Covid-19. But the pandemic has reinforced the notion that there are limits to what data science can achieve, despite the clear cost-savings and efficiency that technology promises.
Coalition of the Willing Takes Aim at COVID-19 Read More