Tel No. 092 284 8551

Day 1, 9:00-17:00 (Instructor: Asst.Prof.Dr.Chanwit Boonchuay)

Big data in business environment

• Why businesses need to understand big data?

• Opportunities and challenges of big data

• Big data in the digitalized knowledge economy

• Business implications and disruptive power of big data

• Big data induced changes in decision making

• Big data strategies and innovations

• Recent updates in big data technologies

Data science introduction

• What is data science?

• Data types and formats

• Data science lifecycle and analytic process

• Exploratory data analysis (EDA)

• Machine learning (ML) essentials

• Big data analytics and ML applications

Artificial intelligence for businesses

• Why is AI important to businesses?

• Overview and current development of AI

• How do AI technologies work?

• AI innovations and strategies in businesses

• Limitations and risk management of AI

• Building AI team and human resource development

Day 2, 9:00-12:00 (Instructor: Kuakarn Saichua)

Digital transformation and data analytics in practice

• Digital transformation and data analytics benefits

• How to create data-driven cultures?

• Business and customer analytics

• Practical data strategies for business

• Digital and data products (case study)

• Recommendations for digital transformation and data analytics implementation

Day 2, 13:00-17:00 (Instructor: Asst.Prof.Dr.Chanwit Boonchuay)

Workshop on big data and AI project initiation

• Selecting significant big data and AI issues

• Designing and planning big data and AI strategies

• Lean methodology for big data and AI projects

• Discussion on big data and AI projects

• Class evaluation (multiple choice examination)