Governance of Big Data development ecosystems

January 15, 2019

This document pretends to describe the current challenges faced by national governments, and consequently society and the global community, with the increase of information production and the manifold possibilities to use it, disseminate it and regulate it. Governance of Big Data means recognizing the inherent complexity of its development ecosystems and proposing arenas for the articulation of actions pursuing a better use of information and increment benefits from this use to society.

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CB4

We strive to build revolutionary yet simple solutions that empower retail teams with prescriptive analytics, powered by AI and Machine learning. Our solutions allow retailers to better understand and serve their customers. By applying patented machine learning algorithms on simple sales data, CB4’s software solution captures lost sales by correcting operational inefficiencies on a SKU at store level.

OTHER WHITEPAPERS
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Organizations increasingly recognize that accountability through the implementation of a data privacy management program (DPMP) is essential to operate effectively in the modern digital economy. For many years, the focus of organizations in implementing a DPMP has been mainly to achieve compliance with data protection requirements. Today, many organizations have undergone a shift in understanding and realize that a DPMP is as critical for risk management and compliance as it is for enabling data strategy, building customer trust, winning business, and attracting company investment.

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Vida for Retail: Rebooting Retail withthe Power of Data Analytics

whitePaper | January 11, 2023

There used to be a time when purchase decisions were based on recommendations of the neighborhood grocery manager. Today, these purchase decisions are driven by technology, bringing together the collective wisdom of consumers of the same product from across the world.

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GBM-Security

whitePaper | November 15, 2019

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Logical Data Fabric

whitePaper | December 27, 2022

In this whitepaper we will define “data fabric,” look at different implementation strategies, and highlight the value of a logical approach. The paper will delve more deeply into the technical architecture of a logical data fabric and the key components to build a successful one, including the role played by artificial intelligence (AI) and data virtualization.

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Spotlight

CB4

We strive to build revolutionary yet simple solutions that empower retail teams with prescriptive analytics, powered by AI and Machine learning. Our solutions allow retailers to better understand and serve their customers. By applying patented machine learning algorithms on simple sales data, CB4’s software solution captures lost sales by correcting operational inefficiencies on a SKU at store level.

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