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E-raamat: Symbiotic Intelligence: Advancing Forecasting Through Human-AI Collaboration [Taylor & Francis e-raamat]

Edited by (Northumbria University, UK), Edited by , Edited by (Anglia Ruskin University, UK), Edited by
  • Formaat: 334 pages, 1 Tables, color; 39 Tables, black and white; 9 Line drawings, color; 36 Line drawings, black and white; 6 Halftones, color; 7 Halftones, black and white; 15 Illustrations, color; 43 Illustrations, black and white
  • Ilmumisaeg: 24-Nov-2025
  • Kirjastus: CRC Press
  • ISBN-13: 9781003540373
Teised raamatud teemal:
  • Taylor & Francis e-raamat
  • Hind: 156,95 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 224,21 €
  • Säästad 30%
Symbiotic Intelligence: Advancing Forecasting Through Human-AI Collaboration
  • Formaat: 334 pages, 1 Tables, color; 39 Tables, black and white; 9 Line drawings, color; 36 Line drawings, black and white; 6 Halftones, color; 7 Halftones, black and white; 15 Illustrations, color; 43 Illustrations, black and white
  • Ilmumisaeg: 24-Nov-2025
  • Kirjastus: CRC Press
  • ISBN-13: 9781003540373
Teised raamatud teemal:
Taylor & Francis e-raamatudRohkem infot Taylor & Francis e-raamatute kohta

The book incorporates areas associated with AI Demand, including forecasting models, productivity, decision-making that is inclusive of stakeholders, and an enabler of sustainable processes.



AI is a major driver of change in business and economic ecosystems and touches many computer science disciplines, from cybersecurity to computing networks. AI Demand is a growing area of interest and excitement that refines predictions and forecasting. The book incorporates areas associated with AI Demand, including forecasting models, productivity, decision-making that is inclusive of stakeholders, and an enabler of sustainable processes.

The scope of the book ranges from medical and healthcare applications of AI, roles that predictive AI can be applied and used in cybersecurity, to strategic intervention via the application of KPIs developed from AI, data pipeline improvement, forecasting in industries such as agriculture, housing stock, traffic management and crime, and sustainability in supply chains.

1. Data-Driven Futures.
2. Forecasting Frontiers.
3. FutureCast AI.
4.
Insightful Intelligence.
5. Predictive Modeling Mastery.
6. ML ForeSight.
7.
Predictive Analytics Engine.
8. Intelligent Prognostication.
9. Decision
support (Decision Compass, Solution Advisor).
10. Cyber crime prediction
(Cyber Threat Forecasting, Cyber Criminality Forecast, Cybersecurity
Intelligence Prediction).
11. Cyber risk analysis.
12. Legal, social and
ethical (Normative Analysis Prediction, Social Responsibility Projection,
Legal and Social Impact Forecasting).
The book was edited by an academic team working in different areas of applied AI. Professor Hamid Jahankhani has led innovative research in cybersecurity and contributed extensively to publications and conferences. Gordon Bowen, an Associate Professor, specializes in management, strategy, and marketing. Dr. Nitsa J. Herzog, an AI and computer-aided medical diagnosis expert, leads research in AI and data sciences. Dr. David J. Herzog works on merging healthcare and IT, focusing on human-AI interaction.
Püsilink: https://www.kriso.ee/db/9781003540373_pe.html
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