| Event Profile | |
| Class/ Online | Classroom |
| Date | 9 September 2026 |
| Time | 9am to 5pm |
| Venue | Royal Plaza on Scotts 25 Scotts Road Singapore 228220 |
| Fee | 9% GST will apply SGD 600.003 & above: SGD580.00 each For Member SGD 570 3 & above: SGD551 each |
| Note | Two tea breaks and buffet lunch will be served. Limited complimentary car parking coupons are available upon request. |
| Other Date(s) | 1) 9 Mar 2026 2) 9 Jun 2026 3) 9 Dec 2026 |
| Trainer | |
| Activity | |
| You may reach us via T: 6204 6214 E: info@ccisg.com Alternatively, you may send below details to register Contact Person Company (optional), Name, Job Title, Mailing Address, Tel, Email Participant(s) Name, Job Title, Email | |
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.
Participants are required to bring a laptop with internet access for hands-on exercises. Personal laptops are preferred, as company laptops may have restricted access to certain AI websites.
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.
Participants are required to bring a laptop with internet access for hands-on exercises. Personal laptops are preferred, as company laptops may have restricted access to certain AI websites.
Objective
- Participants will grasp the impact of big data on digital transformation and learn the fundamentals of Business Performance Management.
- Learners will gain proficiency in utilizing BPM tools, including scorecards and dashboards, to conduct gap analysis and root cause analysis effectively.
- Attendees will understand how to apply contemporary digital technologies like ML, blockchain, and AR to enhance business processes and customer experiences.
- The course will provide a practical approach to BPR, equipping participants with methodologies for process improvement and comprehensive change management.
Outline
Topic 1: Introduction to Artificial Intelligence and Digital Transformation
Topic 2: AI Technologies and Business Innovation
Topic 3: AI Business Models and Design Thinking
Topic 4: AI Project Implementation and Future Trends
- 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
Topic 2: 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
Topic 3: 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
Topic 4: 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
Who should attend
This course is ideal for managers, executives, and professionals who want to leverage AI and data analytics to make smarter, data-driven business decisions. No prior AI knowledge is required to attend this course.
Methodology
The trainer will conduct the course using a practical, hands-on approach that blends real-world case studies, interactive exercises, and guided practice with AI and data analytics tools to strengthen participants’ decision-making skills.
Testimonial
The many examples have broadened my perspective on applying AI across different industries.
Sharing of useful tools like ModelZoo and DeepAI provides practical ways to apply AI at the workplace.
The trainer is approachable and knowledgeable.
Demonstrating AI tools on various types of data helped us understand how to make better decisions.
I learned how AI can help improve daily routine tasks.
The trainer’s teaching method made the topic easier to understand.
Friendly trainer who ensures we fully understand the topic.
Sharing of useful tools like ModelZoo and DeepAI provides practical ways to apply AI at the workplace.
The trainer is approachable and knowledgeable.
Demonstrating AI tools on various types of data helped us understand how to make better decisions.
I learned how AI can help improve daily routine tasks.
The trainer’s teaching method made the topic easier to understand.
Friendly trainer who ensures we fully understand the topic.
Dwight Nuwan Fonseka's Profile
Head Data Analyst | Data Governance & AI | CAIP | CDSP | ACLP
Dwight Fonseka is a seasoned data analytics professional with over a decade of experience in big data, predictive modeling, and AI. Holding a Master’s in Education (NTU), a degree in Biotechnology (NUS). He is a Certified AI Practitioner (CAIP), Certified Data Science Practitioner (CDSP), and ACLP-certified trainer with extensive experience delivering data-driven insights and practical applications across industries.
Dwight has held roles such as Senior Data Analyst and Data Governance Officer at Plano Pte Ltd, specializing in healthcare analytics and machine learning. As an adjunct trainer, he delivers practical courses in data visualization, data storytelling, deep learning, and AI business models, using tools like R, Python, Tableau, and RapidMiner.
Notable Topics Trained:
Dwight Fonseka is a seasoned data analytics professional with over a decade of experience in big data, predictive modeling, and AI. Holding a Master’s in Education (NTU), a degree in Biotechnology (NUS). He is a Certified AI Practitioner (CAIP), Certified Data Science Practitioner (CDSP), and ACLP-certified trainer with extensive experience delivering data-driven insights and practical applications across industries.
Dwight has held roles such as Senior Data Analyst and Data Governance Officer at Plano Pte Ltd, specializing in healthcare analytics and machine learning. As an adjunct trainer, he delivers practical courses in data visualization, data storytelling, deep learning, and AI business models, using tools like R, Python, Tableau, and RapidMiner.
Notable Topics Trained:
- Data Analytics & Visualization (R, Tableau, Excel)
- Machine & Deep Learning (RapidMiner, DeepCognition)
- Data Governance & AI Business Models
- Predictive Analytics & Data-Driven Decision-Making
