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 Strategists is focussed on enabling and empowering data driven business through data warehousing, big data development, machine learning, artificial intelligence, and web development.
Summary: Bengaluru (Karnataka) [India], Jan 24 (ANI): Infosys has been ranked as leader by ISG Provider Lens study on Data and Analytics Services 2019 in the Data Driven Business Model Category, US region.
"Title insurance transactions are often labor intensive and suffer from delays-States Title uses a digital platform which is data driven and automates the process which in turn should bring benefits for consumers."
'It's a great pleasure to partner with ada for creating new value through data driven analytics and leading digital transformation.
This further sets M Science apart from its competitors as TickerTags offers a new and differentiated investment tool that is complementary to M Science's core offering of data driven research and analytics.
The economy appears to have picked-up the pace through Q2, leaving a data driven BoC on track to hike rates 25 bps next week.
Bangalore, India, January 21, 2018 --(PR.com)-- Platinumetrix is a global provider of Management consulting, analytics & decision science as a service for marketing, sales and operational functions of businesses helping them improve efficiency and effectiveness of decision management across functions through data driven insights and strategies.
M Science, the leader and pioneer in data driven research and analytics, has launched a proprietary data product that tracks the performance of e-commerce giant Alibaba's advertising revenue, the company said.
"Predictive analytics and machine learning are being used increasingly in the data driven enterprise to anticipate events and improve performance.
The first section of "Biometrics in a Data Driven World" discusses the fundamentals of biometrics and provides an overview of common biometric modalities, namely face, fingerprints, iris, and voice.
By the end of the discussion, the consensus of the group is always unanimous; the pace of technology's influence on marketing is blistering and the opportunity afforded data driven strategies, enormous.

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