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{ "item_title" : "Navigating Uncertainty Using Foresight Intelligence", "item_author" : [" Bruce Garvey", "Adam D. M. Svendsen "], "item_description" : "This book brings together a diverse range of findings on current and emerging business concerns when the authors were developing a series of 12 working Analytic Research Consortium (ARC) White Papers. It presents several, differently configured scenarios, drawing on cyber as an example; the use and further optimization of estimative/probabilistic language; communicating analytical insights and other findings concerning '(un)certainty' to decision-maker end-users; and mitigating risk. It also evaluates in detail today's rapidly evolving Gen-AI systems and technologies, e.g. those underlying OpenAI's ChatGPT and Google's Bard/Gemini. This includes their respective value concerning scenario development and other business-relevant methods, tools and techniques, e.g. 'Red Teaming'. The topics discussed are assessed using the multi-methodologies of, firstly, 'Intelligence Engineering' (IE) and, secondly, 'Strategic Options Analysis' (SOA). The latter half of the book introduces an alternative scenario planning process, including use of new computer-software and AI tools. In addition to Gen-AI, we identify that the emerging discipline of Causal AI may work better for foresight and scenario activities. The book is a valuable read for a diverse readership from the public and private sectors, spanning government, the military, law enforcement, education, industry, commerce, retail, and enterprises of all sizes. Also, students at business schools and high-level decision-makers, including politicians, military commanders, and C-Suite leaders in various fields, will benefit from it. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/166/114/3031661141_b.jpg", "price_data" : { "retail_price" : "119.99", "online_price" : "119.99", "our_price" : "119.99", "club_price" : "119.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Navigating Uncertainty Using Foresight Intelligence|Bruce Garvey

Navigating Uncertainty Using Foresight Intelligence : A Guidebook for Scoping Scenario Options in Cyber and Beyond

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Overview

This book brings together a diverse range of findings on current and emerging business concerns when the authors were developing a series of 12 working Analytic Research Consortium (ARC) White Papers. It presents several, differently configured scenarios, drawing on cyber as an example; the use and further optimization of estimative/probabilistic language; communicating analytical insights and other findings concerning '(un)certainty' to decision-maker end-users; and mitigating risk. It also evaluates in detail today's rapidly evolving Gen-AI systems and technologies, e.g. those underlying OpenAI's ChatGPT and Google's Bard/Gemini. This includes their respective value concerning scenario development and other business-relevant methods, tools and techniques, e.g. 'Red Teaming'. The topics discussed are assessed using the multi-methodologies of, firstly, 'Intelligence Engineering' (IE) and, secondly, 'Strategic Options Analysis' (SOA). The latter half of the book introduces an alternative scenario planning process, including use of new computer-software and AI tools. In addition to Gen-AI, we identify that the emerging discipline of Causal AI may work better for foresight and scenario activities.

The book is a valuable read for a diverse readership from the public and private sectors, spanning government, the military, law enforcement, education, industry, commerce, retail, and enterprises of all sizes. Also, students at business schools and high-level decision-makers, including politicians, military commanders, and C-Suite leaders in various fields, will benefit from it.

This item is Non-Returnable

Details

  • ISBN-13: 9783031661143
  • ISBN-10: 3031661141
  • Publisher: Springer
  • Publish Date: October 2024
  • Dimensions: 9.21 x 6.14 x 0.88 inches
  • Shipping Weight: 1.55 pounds
  • Page Count: 340

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