AI is now a competitive necessity

In today’s fast-evolving business landscape, staying ahead means navigating complex challenges, embracing new technologies, and making informed decisions that drive real impact.

This training offers an in-depth exploration of how AI can transform business by enhancing efficiency and driving innovation across industries. Tailored specifically for decision-makers, this course outlines the strategic importance of AI and equips you with knowledge and tools needed to harness its power while navigating potential hurdles.

Who Should Attend

Gain the insights you need to lead your organization into the next phase of digital evolution with confidence.

C-suite Executives
Department Heads
Decision-makers driving tech-led transformation in business

Training Method

Duration: 1 day

Format: Offline sessions

Theory session in the morning
Interactive workshop in the afternoon

Our Trainers

Seasoned experts with industry insight and strategic focus, dedicated to your impactful leadership growth.

Dr. Tai Huynh

CEO & CTO, Kyanon Digital

David Lapetina

VP - Engineering & Technology, Kyanon Digital

Curriculum

Part 1: Theory Session: AI Adoption in Business: Challenges and Opportunities

Duration: 3 hours

General Overview of AI

Definition of Data Science & AI

Differences between AI and ML

Applications of AI in different sectors

Fueling AI with Data Pipelines

Different types of data
Real examples

Challenges

Data Volumes
Data Quality
Data Governance
Ecosystem
Recommendations from the industry and academic.

AI Regulations & Data Privacy

General Data Protection Regulation – GDPR
Personal Data Protection Act – PDPA
Decree 13/2023/ ND-CP

Part 2: Hands-on Workshop: How to drive an AI initiative?

Duration: 3 hours

Roles & Responsibilities

Roles and Responsibilities of various stakeholders, from leadership (Board of Directors, C-Level Executives) to technical teams (Data Scientists, AI/ML Engineers) and business users, emphasizing the collaborative nature of AI initiatives.

Overall Workflow

A structured approach to AI adoption from identifying, analyzing to conducting and managing.

Common Pitfalls & Best Practices

Common challenges and mistakes businesses face when adopting AI and actionable strategies and recommendations for avoiding these pitfalls and maximizing the chances of AI success.

Hands-on

Work in group for generating ideas to use cases of AI and discuss on the feasibility, originality and the impact of the ideas presented.

Learning Outcomes

Key Skills and Insights You'll Gain

Understand the Fundamentals of AI

Gain a foundational knowledge of artificial intelligence, including various AI technologies and their applications in different sectors.

Understand the fundamentals of data pipelines

Develop a strong understanding of how data pipelines support AI initiatives.

Identify and Overcome Key Challenges in AI Adoption

Recognize common challenges in 4 key aspects: Data Volumes, Data Quality, Data Governance and Ecosystem to develop strategies that help address them within your organization.

Navigate AI Regulations and Data Privacy

Understand the legal, ethical, and regulatory landscape surrounding AI, including data privacy requirements and AI governance, to ensure responsible implementation.

Drive an AI Initiative Successfully

Acquire the tools to formulate actionable plans for implementing AI within your business, aligning with strategic goals and maximizing ROI.

AI Adoption In Business: Challenges And Opportunities