June 23, 2022
Via: DATAVERSITYIntegrating edge artificial intelligence (AI) is not a simple process. Early forms of artificial intelligence relied on the computer power of data centers to perform their processor-demanding tasks. After some time, AI shifted into software, using predictive algorithms that changed […]
April 15, 2022
Via: CIOIn 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. The refrain has been repeated ever since. Organizations across every industry have been and continue to invest heavily in data and analytics. But […]
March 16, 2022
Via: DATAVERSITYIn Data Science, a variety of advanced technologies like data mining, statistics, predictive analytics, AI, and machine learning are used in conjunction to deliver solutions for business problems. In Decision Science, analyzed data is “interpreted” to arrive at business decisions […]
March 9, 2022
Via: DATAVERSITYThe terms “self-service analytics” (SSA) and “machine learning” (ML) are frequently used interchangeably, but the concepts behind these terms are a world apart. In self-service analytics, specific tools are designed to aid the user in inputting data or interpreting results […]
July 20, 2021
Via: DATAVERSITYMachine learning elicits mixed reactions. On the one hand, some consider machine learning a company’s new super power that has “swept enterprise technology, using mass amounts of data and algorithms to make predictions.” At the same time machine learning has […]
BI Users, Data Analyst, IT Team
March 11, 2021
Via: DATAVERSITYIdeally, a machine learning engineer would have both the skills of a software engineer and the experience of a data scientist and data engineer. However, data scientists and software engineers usually come from very different backgrounds, and data scientists should […]
BI Categories, Business Analysis
April 6, 2018
Via: CIOIn March 2018, Dell EMC surveyed 315 IT executives, in primarily mid-size and enterprise organizations across a wide range of industries, to investigate various issues around the current and future use of use of data analytics, predictive analytics, and machine […]
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