Sentence examples for technology data analysis from inspiring English sources

A specialist in the intersection of fine art and technology, data analysis of the global art market, and collector behavior, Madelaine D'Angelo founded the online investment platform, Arthena, to bridge the gap between art advisors and the next generation of great collectors.

Rosenblatt's Crime Strategies Unit, according to the state's attorney's website, uses "technology, data analysis, and intelligence-gathering to identify trends in crime, focus in on the offenders driving that crime, and target those offenders for enforcement".

With rapid improvements in the shRNA technology, data analysis methods for this are high in demand.

When considering the application of microarray technology, data analysis is a significant obstacle to users without specialized knowledge in bioinformatics analysis of microarray data and nucleic acid sequences.

Recent improvements in sequencing technologies, data analysis techniques, and study design, allow definition of the microbiota within these intimate and important relationships with increasing accuracy.

Notable investments: SpaceX (space transportation); Palantir Technologies (data analysis) 2. Andreessen Horowitz The players: Marc Andreessen, Ben Horowitz These relative newcomers (founded 2009 with an initial $300m) have become leaders in late-stage investing for software, web and mobile.

Recently, with the rapid expansion of information technologies, data analysis is becoming increasingly complex.

With content analysis to the journal articles about smart learning environments from 2001 to 2013, Li and Kong (2014) indicated that the most attractive characteristic of the smart classroom is its integration of all kinds of interactive technologies, data analysis techniques, and context-aware technologies and devices to support the digital intelligence teaching and learning activities.

Despite the conflicting information given by a handful of early published studies where both concordance[7] [9] and discordance[10] [12] between technologies was demonstrated, the maturation of microarray technology and data analysis methods has led to improved cross-platform correlations[6], [13].

Similarly, technology and data analysis are being adopted by businesses to recruit personnel, select and form teams, and inform strategic thinking.

With all industries incorporating some type of technology and data analysis, STEM is relevant in almost any field.