AI for Business Leaders
Course Overview
Artificial Intelligence (AI) is increasingly shaping the business landscape across a wide range of industries. Against this backdrop, business leaders need to be empowered with the necessary knowledge and tools to navigate the evolving AI landscape.
In this course, participants will gain an in-depth understanding of AI, its subfields, applications, and strategic implications in the modern business environment. Through a holistic blend of theoretical knowledge, practical demonstrations, hands-on exercises, and interactive discussions, participants will learn how to develop an AI strategy, use AI in their organization, and consider the ethical concerns associated with AI.
The course is designed to bridge the gap between technical AI concepts and strategic business decisions and Return on Investment, helping leaders leverage AI to enhance their competitive advantage. It is regularly updated and covers the state-of-the-art of AI developments.
Target Audience
- Business leaders, executives, managers, and decision-makers who wish to gain a strategic understanding of AI, both from a technology and business perspective
- Professionals who are involved in digital transformation, innovation, and data-driven initiatives
- Professionals who are keen to leverage the potential of AI in strategic planning and operational decision-making
Duration & Training Format
- Classroom: 5 days
- LIVE Virtual*: 35 hours
*Note:
- A minimum of 6 or more participants are required for a company-based LIVE Virtual course to commence
- LIVE Virtual courses can be conducted for 5 hours or 7 hours daily. Please note that the number of training days will be extended if you opt for 5 hours daily.
Upcoming Course Dates
9 – 13 Sep 2024 (Mon – Fri), GMT +08:00
If you are keen on attending the above scheduled course, please register your interest via our course enquiry form.
Course Objectives
At the end of this course, participants will be able to:
- Describe the current AI development and status and how we got here
- Explain AI technology, its subfields, and their respective business applications
- Recognize the implication of AI on business strategy and the economy
- Develop and implement an effective AI strategy in their organization
- Measure and evaluate the success of AI initiatives
- Foster an AI-ready culture in their organization
- Develop a plan for how AI can be used as a competitive advantage to the organization
- Apply all knowledge in the form of a playbook to support informed strategic decisions
Course Outline
- Introduction to AI and its Business Implications
- Understanding AI
- Business Implications of AI
Hands-on:
- Demonstration of AI in Action using Popular Applications
- AI Playbook Assignment (Part 1)
- Demystifying AI Technologies
- Understanding Machine Learning
- Understanding Deep Learning
- Exploring Natural Language Processing
Hands-on:
- Simple Machine Learning Model Training and Deployment
- AI Playbook Assignment (Part 2)
- AI in Business Strategy
- AI Strategy and Leadership
- Insights into Developing a Strategic Approach for AI Implementation
- How AI impacts Organizational Structure, Leadership and Decision-making
- Where is AI useful and where it is not
- The AI Product and the Role of Data
- Understanding the Crucial Role of Data in AI
- Valuation of Data
- “Data as a Product” versus “Data Product”
- Privacy, Security, Ethical Considerations in Data Handling
- GDPR and other Data Privacy Laws in AI
- AI-Native Products versus AI-powered Products
- Differences in Business Model
- AI ROI and Performance Metrics
- Understanding how to Measure Success in AI Initiatives
- Aligning AI Projects with Business Goals, KPIs and OKRs
Hands-on:
- Successful AI Implementations in a Chosen Industry
- AI Playbook Assignment (Part 3)
- Implementing AI in Your Organization
- Building an AI-Powered Organization
- Challenges in AI Implementation
- Technical and Non-technical Barriers in AI Adoption
- Best Practices and Strategies for a Successful AI Implementation
- The Technology Stack and Options to Implement it
- Brief Introduction on Trustworthy AI
Hands-on:
- Preliminary Plan for Implementing an AI Solution in the Organization
- AI Playbook Assignment (Part 4)
- AI Ethics and the Future of AI
- AI and Ethics
- Ethical Consideration in AI: Bias, Fairness, Transparency, Accountability
- Ethical Dilemmas in AI
- Impact of AI in Society and on Jobs
- Risk Management in AI
- Understanding Potential Risks associated with AI and Strategies to Manage them
- Organization and Technology Stack for Ethical AI
- Future of AI
- Latest Trends in AI and their Potential Impact on Business
- How to Stay Updated and continue Learning in the Rapidly Evolving Field of AI
Hands-on:
- Open Discussion
- AI Playbook Assignment (Part 5)
Note: A Certificate of Completion will only be issued upon achieving at least 75% attendance for the course.
Pre-requisites
No prior technical knowledge or experience with AI is required, as the course will cover the basics before moving to more complex concepts. However, a basic knowledge of IT/software systems would be beneficial.
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