Course Outline
AI Basics: Concepts, Categories and Common Myths
- Understanding what artificial intelligence is and is not
- Distinguishing between narrow AI and general AI
- Overview of machine learning, deep learning, and data science
- An introduction to machine learning mechanics without technical jargon
Generative AI and AI Agents in the Business Context
- The capabilities and boundaries of generative AI
- How AI agents function
- Typical business uses of generative AI
- Understanding hallucinations and the current constraints of AI tools
Data Readiness: The Bedrock of AI
- Structured versus unstructured data
- Data quality and its essential attributes
- Key data governance principles for managers
- The importance of data readiness prior to AI adoption
Identifying Where AI Drives Business Value
- The AI opportunity matrix
- Value chain analysis for AI applications
- Primary versus supporting business activities
- Processes that yield the highest value
AI Success Stories and Key Takeaways
- Practical AI applications across various business areas
- Factors behind successful AI implementations
- Common pitfalls and strategies to avoid them
Workshop: Pinpointing AI Opportunities by Department
- Mapping departmental processes and identifying pain points
- Brainstorming AI use case ideas for each business unit
- Completing an AI opportunity canvas
- Reviewing and discussing insights across departments
Prioritising AI Use Cases for Optimal Value
- Scoring value against feasibility
- Quick wins versus long-term strategic investments
- The AI project selection funnel
- Choosing the initial use cases to implement
AI Governance: Roles, Committees and Accountability
- Determining who should steer AI initiatives within the organization
- Governance structures, committees, and duties
- Centre of Excellence model versus distributed ownership
- Best practices for effective AI governance
Security, Risk and Responsible AI
- Information security and data privacy considerations
- Risk evaluation for AI projects
- Ethical standards and the responsible use of AI
- Building confidence in AI systems
Creating an AI-Ready Organisation
- Evaluating current AI maturity
- Essential skills and competencies for the AI journey
- Change management and organisational readiness
- The AI strategic cycle
Workshop: Developing the AI Deployment Roadmap and Action Plan
- Synthesising the opportunity map
- Establishing phases, quick wins, and key milestones
- Assigning ownership, metrics, and governance checkpoints
- Finalising the initial roadmap and defining next steps
Requirements
- No background in technical skills or programming is necessary.
- A keen interest in leveraging AI within business or management frameworks.
Target Audience
- Senior managers and department heads.
- General managers and C-suite executives.
- Leaders overseeing digitalisation and transformation projects.
Testimonials (2)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
