Symbiotic Intelligence

Advancing Forecasting Through Human-AI Collaboration
1. Auflage 2025
ISBN: 978-1-032-86768-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 342 Seiten, Format (B × H): 156 mm x 234 mm

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.

Zielgruppe

Academic

Autoren/Hrsg.

Herzog, David J.

Jahankhani, Hamid

Bowen, Gordon

Herzog, Nitsa J.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsprognose
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

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).

Über Autor(innen)

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.