AI's Value Realized Through Domain Expertise, Not Just Algorithms
To succeed in the field of Artificial Intelligence, young professionals must go beyond merely studying algorithms. Associate Professor Dr. Nguyễn Văn Hiển emphasizes that AI's true value is unlocked when it is combined with deep expertise in a specific domain. He advises aspiring AI practitioners to gain profound knowledge in a particular specialized field rather than focusing solely on theoretical computer science. Furthermore, Dr. Hiển highlights the importance of developing practical product-building skills and fostering interdisciplinary collaboration. This approach ensures that AI applications are relevant, effective, and can address real-world challenges by integrating technological capabilities with domain-specific insights.
AI's transformative potential is often discussed in terms of algorithmic advancement. However, this perspective highlights a critical dependency: the practical utility and value creation of AI are intrinsically linked to its application within specific industries or fields of knowledge. This suggests that the future of AI development and deployment will likely favor individuals and teams capable of bridging the gap between technical expertise and domain mastery. Focusing solely on algorithmic innovation without considering real-world context risks creating technically sophisticated but practically irrelevant solutions. The emphasis on interdisciplinary work and product development points to a systemic need for more integrated approaches, where AI is not just a standalone technology but a tool that enhances existing professions and creates new synergistic opportunities.
AI-generated to prompt reflection — not editorial opinion, not advice, not a statement of fact. How this works.