GIAI Research
Find hidden patterns in data
GIAI Research team operates GIAI R&D with researchers from internationally diverse backgrounds but with common interest. We find patterns in data that nobody else can find. The team is equipped with dedicated math/stat knowledge and sharp intuition, all of which help us to build a concrete logic and robust theory.
Rerum Cognoscere Causas
GIAI RESEARCH is not seeking to find ways to automatize system, which is a typical misperception imposed on AI. What we truly look for is hidden patterns in data that are invisible without dedicated research. The ultimate goal of the R&D team therefore is to find the hidden factors and true causes. Automation is only a business application of our findings.
R&D
GIAI Research covers a wide variety of data science topics including mathematical modeling, simulation, pattern recognition, data visualization, and many other fields that require mathematically trained data science intuition
Fields of Research
Finance
Financial stability of SMEs and individuals by non-financial data
– Finding common vector space
Marketing
Multi-Touch Attribution in complex user journey with multiple online ad exposer
– Dynamic centrality in network
Elections
General election prediction by correlation in nearby districts
– Panel data analysis
GIAI’s research division with dedicated AI/Data Science academic records
A research journal managed by GIAI Research team – AI columns, academic papers, AI news articles, and GIAI updates
Information Technology
Data server cost minization by removing informationally equivalent game player user data
– Information in multi-horizon data
ESG – Save the earth
Electricity and gas usage prediction of commercial buildings by SUR
– Correlation in time series to be captured by piecewise weighting matrix
Policy
Optimal tax rule in overlapping judicial authorities with varying taxation districts
– Game theoretic best strategies
AI/Data Science papers and columns
People following AI hype are mostly completely misinformedAI/Data Science is still limited to statistical methodsHype can only attract ignorance As a professor of AI/Data Science, I from time to time [...]
Math in AI/Data Science is not really math, but a shortened version of English paragraph.In science, researchers often ask 'plz speak in plain English', a presentation that math is just [...]
Korean GDP growth was 6.4%/y for 50 years until 2022, but down to 2.1%/y in 2020s.Due to low birthrate down to 0.7, population is expected to 1/2 in 30 years.Policy [...]
Transition from column to matrix, matrix to tensor as a baseline of data feeding changed the scope of data science, but faster results in 'better', only when we apply the [...]
When an expectation for future is shared, market reflects it immediatelyUS Fed hints to lower interest rates in March, which is already reflected in pricesBitcoin prices also rely on people's [...]
Web novel to Webtoon conversion is not only based on 'profitability'If the novel author is endowed with money or bargaining power, 'Webtoonization' may be nothing more than a marketting tool [...]
