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Artificial Intelligence
Przemysław Janicki 0
Praktyczny przewodnik po generowaniu danych syntetycznych

Jakość danych syntetycznych zależy przede wszystkim od jakości modelu, który je wygenerował, oraz – rzecz jasna – reprezentatywności i jakości danych pierwotnych. O ile ta druga kwestia, jako dobrze znana każdemu analitykowi danych, nie wymaga dalszego komentarza, o tyle kwestii jakości modelu warto poświęcić dodatkową uwagę.   Rysunek 1. Procedura

Analytics
Sandra Hernandez 0
Cómo la IA está impulsando la personalización en las campañas de marketing durante la temporada navideña

La temporada navideña es uno de los momentos más esperados por los consumidores y una oportunidad para las marcas. En un entorno donde los clientes buscan experiencias significativas y ofertas relevantes, la inteligencia Artificial se ha convertido en el aliado perfecto para impulsar la personalización en las campañas de marketing.

Fraud & Security Intelligence | Predictions
Teya Dyan 0
Fraudulent facades: The upward trend of business entity fraud

Fraudsters are relentless but tax agencies are tenacious in their pursuit of illicit acts. In recent years, synthetic identity fraud has emerged as a significant threat to businesses and tax agencies. Unlike traditional identity theft, where criminals steal real personal information, synthetic identity fraud involves creating entirely new identities by

Advanced Analytics | Artificial Intelligence
Craig Foster 0
Leveraging the long-tailed nature of power outage impacts as a targeted approach for condition-based maintenance of the overhead distribution grid

As populations around the world the U.S. continue to grow, both condensing in urban areas and sprawling in more rural areas, the importance of a functioning distribution network for utilities grows proportionally. The complexity and interconnected nature of say, the electric distribution network, is already staggering; one can hardly imagine

Analytics
0
ModelOps로 구현하는 모델 관리 그 이상의 효과!

AI/ML 모델 개발 상의 어려움과 이를 해결하기 위한 접근법으로서 ModelOps의 필요성이 대두되고 있습니다. (참조 : AI/ML 기반 모델 개발, 과제와 해결방안은?) 이번 글에서는 ModelOps가 구체적으로 어떤 제품인지, 어떤 장점을 제공하며 구현방법은 어떠한지 등에 대해 설명드리도록 하겠습니다. 이에 앞서 ModelOps의 구현에 중요한 역할을 하는 ‘모델 거버넌스’에 대해 잠깐 짚어보도록 하겠습니다. 모델

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