Short Course
Artificial Intelligence
AI and Data Analytics for Business and Decision Making
Overview
In an era defined by artificial intelligence and digital disruption, this course provides a comprehensive exploration of how AI is transforming business models, decision-making, and organizational strategy. It begins by introducing the fundamentals of AI, machine learning, and deep learning—uncovering how these technologies power Industry 4.0 and enable data-driven transformation across industries. Participants will understand how data serves as the foundation of intelligent enterprises and how AI enhances operational efficiency, innovation, and customer engagement.
The course then delves into the core AI technologies shaping modern business—covering predictive analytics, natural language processing, computer vision, and generative AI. Through practical examples, learners will see how these innovations drive smarter operations, personalized experiences, and automation at scale.
Building upon this foundation, participants will explore AI-driven business models, strategy alignment, and the application of design thinking principles to develop impactful and ethical AI solutions. Case studies of successful AI transformation initiatives provide real-world insight into how organizations harness AI for competitive advantage and sustainable growth.
Finally, the course guides learners through the stages of AI project implementation—from concept to deployment—emphasizing ROI analysis, ethical governance, and the emerging trends shaping Industry 5.0. Designed for forward-thinking professionals, this program serves as a roadmap for integrating AI into business strategy, driving innovation, and leading the next wave of intelligent digital transformation.
Who Should Attend
This course is intended for
- Business analysts seeking to optimize processes through digital transformation strategies
- Executives and managers looking to implement BPM and re-engineer business processes
- IT professionals interested in applying digital technologies to improve business operations
- Quality control specialists aiming to leverage ML and computer vision for inspections
- Change managers and consultants facilitating digital transitions within organizations
Pre-requisites
- No pre-requisite required
- Participants are required to bring their own laptop PC or MacBook for the practical hands-on portions of the workshop
1 Day
8 Hours
Level
Beginner
What You Will Learn
Understanding Big Data Impact
Participants will grasp the impact of big data on digital transformation and learn the fundamentals of Business Performance Management.
Utilize BPM Tools
Gain proficiency in utilizing BPM tools, including scorecards and dashboards, to conduct gap analysis and root cause analysis effectively.
Apply Contemporary Digital Technologies
Understand how to apply contemporary digital technologies like ML, blockchain, and AR to enhance business processes and customer experiences.
Equip BPR Methodologies
Provide a practical approach to BPR, equipping participants with methodologies for process improvement and comprehensive change management.
Course Outline
Day 1
- Introduction to Artificial Intelligence and Digital Transformation
- What is AI, Machine Learning, and Deep Learning?
- The Evolution of AI in Business Transformation
- Data as the Core of Intelligent Enterprises
- Impact of AI on Business Strategy and Operations
- AI Technologies and Business Innovation
- Machine Learning and Predictive Analytics for Business Insight
- Natural Language Processing and Conversational AI
- Computer Vision and Image Recognition in Business
- Generative AI and Emerging Automation Tools
- AI Business Models and Design Thinking
- AI-Driven Business Models and Value Creation
- AI Strategy Alignment with Organizational Goals
- Design Thinking for AI Innovation
- Case Studies of Successful AI Transformation
- AI Project Implementation and Future Trends
- Stages of AI Project Lifecycle
- Cost-Benefit and ROI Analysis for AI Projects
- Responsible and Ethical AI Implementation
- The Future of AI in Business and Industry 4.0
Trainers Profile
Dwight Fonseka
Dwight Fonseka embarked on his educational journey in 2001, achieving a Bachelor’s degree in Biotechnology from NUS, followed by an Advanced Diploma in Pharmaceutical Management from MDIS in 2007, and a Master’s degree in Education from NTU in 2013. Dwight has accumulated eight years of experience teaching biology at O and A levels/IB level in international schools in Singapore and abroad, specializing in genetics, biostatistics, and bioinformatics, particularly in Rbioconductor.