data driven

data driven

A data driven architecture/language performs computations in an order dictated by data dependencies. Two kinds of data driven computation are dataflow and demand driven.

From about 1970 research in parallel data driven computation increased. Centres of excellence emerged at MIT, CERT-ONERA in France, NTT and ETL in Japan and Manchester University.
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It also includes data driven alerts to allow for proactive monitoring of key metrics.
Mikhail Gofman (Assistant Professor, Computer Science Department, California State University, Fullerton), "Biometrics in a Data Driven World: Trends, Technologies, and Challenges" aims to inform readers about the modern applications of biometrics in the context of a data-driven society, to familiarize them with the rich history of biometrics, and to provide them with a glimpse into the future of biometrics.
Our new Data Driven seminar Is a completely new concept In Injection molding training and Is a direct result of our Plastics Academy graduates' feedback," explains Craig Paulson, president of Paulson Training Programs.
com, Miller defines the Six Sigma Data Shuffle, and explains how it hampers efforts to build a data driven culture.
Clearly, the former is not a data-driven idea, whereas the latter clearly is, explains Taneli Tikka, Head Tieto Data Incubator, Data Driven Businesses.
There is nothing wrong with any of those things, but they overlook the fact that if you want a data driven culture, your people need ready access to real-time, actionable data.
Created by the merger of LessonLab and Co-nect, Pearson Achievement Solutions works with school districts to implement long-term, sustainable professional development programs that address core issues including district and school improvement, data driven decision-making, enhancing instruction in content areas, and teacher professional growth.
Regardless of their business improvement methodology - Six Sigma, Lean, Total Quality Management, ISO - clients come to us because they need to become data driven.
The search for more consistency, more accuracy and more predictability in underwriting decisions is leading carriers to enhanced use of data driven and empiric decision environments helping them increase pass-through percentages to more than 80 percent.

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