26th International Society for Design and Process Science Conference : SDPS 2025 (EAI/Springer Innovations in Communication and Computing) / Carbone, John (EDT)/ Gurupur, Varadraj (EDT)/ Garg, Lalit (EDT)

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26th International Society for Design and Process Science Conference : SDPS 2025 (EAI/Springer Innovations in Communication and Computing)

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26th International Society for Design and Process Science Conference : SDPS 2025 (EAI/Springer Innovations in Communication and Computing)

Carbone, John (EDT)/ Gurupur, Varadraj (EDT)/ Garg, Lalit (EDT)

ウェブストア価格 ¥68,978（本体¥62,708）
Springer, Berlin; Springer Nature Switzerland; Springer（2026/09発売）
外貨定価 EUR 246.09
ポイント 627pt

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製本 Hardcover:ハードカバー版
商品コード 9783032296269

Full Description

The book presents the proceedings of the 26th Society for Design and Process Science Conference (SDPS 2025), which took place in St. Julian, Malta, December 7-10, 2025. The 2025 conference centers on generative artificial intelligence (GenAI) and its impact on medicine, academia, and industry. The papers focus on the generational challenges that GenAI presents, which industry leaders agree constitutes a sea change in technology not seen since the Industrial Revolution. The conference emphases that, as the AI/GenAI community creates vast new and novel opportunities at a rapid pace, it consequently creates challenges with lack of understanding and immature designs, processes, research, engineering, while also exposing gaps in formal AI/GenAI design and process education. The authors also discuss, for the sake of analysis, the general fear of unknown AI/GenAI technologies, as well as system ambiguity and disguised complexities. The authors aim to present solutions that help to mitigate risk in these in critical environments (e.g., medical, financial, cyber defense etc). To better serve developers and modern business leaders with guidance to innovate, mitigate risk, and capitalize on novel advancements in AI/GenAI, the Society for Design and Process Science (SDPS) brings together the advanced academic research community with industry to more qualitatively harness the power of formal AI/GenAI design and process to accelerate science and business.