Edge to Core to Cloud Architecture for AI

July 27, 2018

As organizations embrace AI-powered innovations and deploy deep learning applications, it is crucial to design a robust infrastructure that takes advantage of the compelling features of both on-premises and cloud deployment options. You must consider several technical requirements before you design and deploy an AI-enabled application: the application type, required performance, data lake size and growth, data backups and archives, and TCO, to name a few.

Spotlight

Hypergiant

Hypergiant Industries focuses on solving humanity's most challenging problems and is leading the way in data intelligence as humanity enters the Fourth Industrial Revolution of AI. To accomplish this mission, the company creates emerging AI-driven technologies and develops world-changing commercial products and solutions for Fortune 500 and government clients. As the parent corporation over a roster of divisions, Hypergiant Industries serves verticals that include space science and exploration, satellite communications, aviation, defense, healthcare, transportation and municipal infrastructure, food and beverage, retail and more.

OTHER WHITEPAPERS
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StreetLight Data Sources and Methodology

whitePaper | December 28, 2022

StreetLight Data, Inc. (“StreetLight”) pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. StreetLight's proprietary data processing engine, Route Science® algorithmically transforms its vast data resources to measure travel patterns of vehicles, bicycles and pedestrians, accessible as analytics on the StreetLight InSight® SaaS platform. StreetLight provides innovative digital solutions to help communities reduce congestion, improve safe and equitable transportation, and maximize the positive impact of infrastructure investment.

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Data Beyond Borders 3.0

whitePaper | July 6, 2023

Cross border data flows came to prominence under Japan’s G20 Presidency in 2019, with the Data Free Flow with Trust (DFFT) framework. Since then, the G20 Presidencies have set DFFT as a major priority in the promotion of worldwide digitisation, building the pillars that led G7 leaders to endorse and commit to a roadmap for cooperation on DFFT. Cross-border e-commerce has had a 45-fold increase1 in a decade, reaching an estimated USD2.7 trillion by 2023.2 Nearly two-thirds of global commerce is related to digital technology, with companies and governments investing an estimated USD6.8 trillion in digital transformation initiatives between 2020 and 2023.3

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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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BARC Score Enterprise BI & Analytics Platforms

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

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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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Four Reasons Your Metadata Is Broken

whitePaper | April 1, 2021

Metadata is more important now than ever. New technologies have enabled businesspeople who have traditionally not been analysts to work with data. The consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined, and understood.

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Spotlight

Hypergiant

Hypergiant Industries focuses on solving humanity's most challenging problems and is leading the way in data intelligence as humanity enters the Fourth Industrial Revolution of AI. To accomplish this mission, the company creates emerging AI-driven technologies and develops world-changing commercial products and solutions for Fortune 500 and government clients. As the parent corporation over a roster of divisions, Hypergiant Industries serves verticals that include space science and exploration, satellite communications, aviation, defense, healthcare, transportation and municipal infrastructure, food and beverage, retail and more.

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