Most industrial companies began collecting data for specific production improvement initiatives within the past five years. The top 3 business drivers for data collection and analysis are: improvement ...

As state and local governments adjust to the ramifications of the 2025 fiscal year, they’ll need to balance budgetary concerns with the ability to deliver exceptional citizen services. The ability to ...

Shifting machine learning workflows to a proactive model could speed data collection and analysis in healthcare, according to a viewpoint article published in JAMA. Proactive models require less ...

At a time when artificial intelligence has opened up a new era in research, data collection and analysis, the growing incidence of cyber security breaches needs urgent scrutiny, especially in matters ...

RAILWAY AGE, MARCH 2020 ISSUE: The December 2019 Big Data in Railroad Maintenance Planning Conference, held at the University of Delaware, continued to highlight the advances the railroad industry is ...

Plans for significant rulemaking proposals, in-depth studies, future technology research, and crash data collections this year and beyond were the leading topics of discussion at the Federal Motor ...

Chad M. Topaz and Tyrone Bass suggest five steps researchers can take to make more inclusive choices when collecting and analyzing data. Colleges and universities are investing heavily in data science ...

Data-driven decision-making (DDDM) is just a fancy term for making intelligent decisions based on what your data is telling you. Modern market research combines DDDM with advanced technology to ...

YUMA PROVING GROUND, Ariz. — As it executes Project Convergence 2021 (PC21), a modernization experiment intended to test the functionality of cutting-edge defense technologies, the U.S. Army is ...

The global data collection and labeling market size is expected to reach USD 17.10 billion by 2030, expanding at 28.9% CAGR from 2023 to 2030, according to a new report by Grand View Research, Inc.