Symbiotic Intelligence: Advancing Forecasting Through Human-ai Collaboration

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.

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.