Course Audience

• C-Level business and government leadership teams, including board of directors, governance boards, CEOs, CSOs, COOs, CFOs, CMOs, CIOs, CHROs, CLOs, general managers, strategic business unit managers, entrepreneurs, senior management consultants, and legal advisors

• Note: This advanced seminar is designed for government and business professionals. We do not accept students seeking initial employment, postsecondary education, or initial licensing programs

Course Objectives 

• Provide 360-degree view of the Artificial Intelligence (AI) types and their applications Offer experiential analysis of the challenges of CEOs and their executive teams in leading and transforming their organizations using Artificial Intelligence (AI) technologies and applications
• Discuss business and managerial insights from the world's most advanced Artificial Intelligence (AI)applications
• Review the Artificial Intelligence (AI) frameworks, best practices, analysis, and decision-making models for implementing high-performance business operations
• Explore hands-on demo applications of various artificial intelligence (AI) in business context

Training Focus

• Develop user skills and competencies in identifying and deploying Artificial Intelligence (AI) applications in business organizations or government agencies with emphasis on improving organizational productivity.

Training Model

• Experiential action learning

• 25%-50% seminar and 50-75% experiential discussion and project work

• The development and evaluation of management skills are based on KASAC training model

Key Course Modules

• Introduction to Basic Data Science, Big Data, Artificial Intelligence (AI) and Machine Learning

• AI Practical Applications and Demo

• AI Risk Organizational Management Framework: Including AI Data Use & Security Governance

Course Modules

1. Quick Introduction to Big Data, AI, and Machine Learning

2. Practical Demo of AI Applications

3. AI Business & Enterprise Strategy Framework

4. AI Governance, Legal & Ethical Compliance Framework

5. Leading the Organization Through AI Transformation

Top AI executive questions answered in the course

AI Basics Module

• What are generative Artificial Intelligence (AI) applications? How does AI compare to human intelligence? What are its capabilities and limitations?
• What are multimodal AI applications? What are its capabilities and limitations?
• What Large Language Models (LLM) What are their capabilities and limitations?
• What are the different applications of AI in business and government sectors? 
• Practical demos of language models (LLM) & multimodal AI applications for productivity improvement
• How can AI change R&D, production and delivery of products and services, and customer support and workforce productivity in general?
• What are AI tokens and how are they used?
• What is MMLU(Massive Multitask Language Understanding)?

AI Strategy, Governance & Leadership Module

• Strategic analysis and planning of AI systems in business and government
• How will AI disrupt your industry, target market and operations?
• What are the risks and opportunities?
• Where is the true value and return on investment (ROI) of AI systems deployment?
• How will AI change the behavior of consumers, workers, managers, and government?
• How can AI and the machine learning models help or hurt my business or organization?
• What are the dangers and the unintended consequences of AI?
• What is a complete AI value chain - What does it take to build a complete AI system?
• How to use AI to gain a competitive advantage?
• How much can AI save time, labor, cost, and errors?
• Who the top AI application and platform vendors?
• How to align my organization with AI strategy?
• What are the cultural, ethical, legal, intellectual property (IP) and copyrights dimensions of AI projects and data training?
• How to create an AI governance framework?
• How to manage legal, reputational, relational, technical, operational and business risks of AI systems?
• How many GPUs are needed to build one AI training model?
• How much it cost to build a training model data center and electric power generation and consumption?
• Is it better to build our own AI data center or outsource it?

Courses By Industry - Optional Customization(For Group Training):

The management training and case studies can be customized to each industry, including: government and public sector management, banking, insurance and financial services management, investment and asset management, energy, utilities, oil and gas management, trade and retail management, education management, pharmaceutical, healthcare, hospital management, construction management, real estate management, agriculture and fishery management, food and restaurant management, telecommunication and information technology management, transportation, freight and logistics management, aerospace, automotive, airlines management, hospitality management, tourism, travel and leisure management, media management, and manufacturing management.

Performance Evaluation (Optional)

• Performance can be evaluated on the basis of individual or team project deliverables

• There are no Q&A exams or tests. Candidates can choose to complete customized experiential work-based projects such as developing a relevant analysis document, management strategy, action plan or a senior management presentation

• The course advisor will review the deliverables and provide improvement feedback

• The evaluation is a form of management consulting and experiential coaching for performance improvement

Training Course Registration

Artificial Intelligence (AI) Strategy Course