Big Data Management

Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data

June 24, 2022

Be (More) Wrong Faster – Dumbing Down Artificial Intelligence
The reactive approach to discovering, analyzing, and correcting data quality issues in business applications has been marginally effective throughout the era of data consolidation for analytics (data warehousing, etc.) and the subsequent onset of “big data.”

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Censia

Censia empowers organizations to unleash their potential through transformative talent. Censia’s AI-powered talent intelligence technology allows companies to instantly find, evaluate, and hire passive talent. Our solution can be used directly in the cloud and can be quickly integrated into most applicant tracking systems.

OTHER WHITEPAPERS
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Enhancing data mesh: How distributed ledger solutions empower decentralized governance

whitePaper | June 27, 2023

Data mesh is an innovative approach to data management that offers a solution to the most common challenges organizations face when dealing with large-scale data management. Data mesh concept consists of four key principles for large-scale data management in a multi-tiered, multi-domain organizational structure: domainoriented ownership, data as product, federated computational governance and a self-service data platform. These all promote a more agile, efficient and scalable data architecture. However, one of the central challenges to implementing data mesh is designing decentralized governance mechanisms that align with its core principles.

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The Future of Unstructured Data Processing

whitePaper | July 25, 2022

Experts estimate that the average person generates more than 1.7 MB of digital data per second, amounting to over 2.5 quintillion bytes per day. However, as the world becomes increasingly digitized and networked, experts predict that, on average, people will produce 463 exabytes of data per day by 2025.

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2022 Data Industry White Paper

whitePaper | December 27, 2022

The 2022 data industry white paper consists of five parts. Part 1 discusses data sharing between individuals, across countries and within companies, under this year's theme of 'Data Sharing.' Part 2 summarizes the major policies, legislation, and systems related to the data industry in Korea and abroad. Part 3 deals with the current status of Korean and global data industry markets. In Part 4, the status of each industry based on business data is examined. Part 5 reviews technologies related to data sharing and utilization. Overall, this white paper uses infographics to summarize the flow of related policies, legislations, and institutions that have been promoted over five years, and highlights the main data issues experienced in Korea this year based on data analysis.

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Advanced Analytics for Decision Making

whitePaper | November 25, 2022

We live in a world of exponentially growing data. Within these massive datasets lies incredible potential, but only if users are equipped with tools capable of managing big data at scale and without lag.

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The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

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The Definitive Guide to Rubrik Cloud Data Management

whitePaper | August 25, 2022

Rubrik is the world’s first Cloud Data Management platform that delivers data protection, search, analytics, and copy data management to hybrid cloud enterprises.

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Spotlight

Censia

Censia empowers organizations to unleash their potential through transformative talent. Censia’s AI-powered talent intelligence technology allows companies to instantly find, evaluate, and hire passive talent. Our solution can be used directly in the cloud and can be quickly integrated into most applicant tracking systems.

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