IEEE - FUTURE LEADER IN AUTOMOTIVE AND MANUFACTURING ENGINEERING, KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

The session on AI-as-a-Service (AIaaS) with Cross-Industry Applications can have the following key outcomes:

1. Understanding AI-as-a-Service (AIaaS)

• Definition and components of AIaaS

• Cloud-based AI solutions and their advantages

• How AIaaS democratizes AI for businesses

2. Cross-Industry Applications of AIaaS

• Healthcare: AI-driven diagnostics, personalized medicine, and predictive analytics

• Finance: Fraud detection, risk assessment, and algorithmic trading

• Retail & E-commerce: Personalized recommendations, chatbots, and inventory management

• Manufacturing: Predictive maintenance, quality control, and automation

• Education: AI tutors, automated grading, and personalized learning

• Cybersecurity: AI-driven threat detection and automated response systems

3. Understanding TRIZ and Inventive Thinking

• Introduction to TRIZ (Theory of Inventive Problem Solving)

• How TRIZ differs from traditional problem-solving approaches

• The role of systematic innovation in defining future strategies

4. TRIZ Principles for Problem-Solving and Innovation

• TRIZ Inventive Principles and their real-world applications

• Identifying and resolving contradictions in problem-solving

• Using TRIZ to anticipate technological evolution (Trends of Engineering System Evolution - TESE)