A recent discussion on GIAI Square brought up concerns about networking opportunities in the SIAI 2.0 AI MBA program. While technical students focus on engineering and quantitative finance, business track students need a different kind of networking—one that connects them to venture capitalists, private equity firms, and AI-driven business leaders.

Mathematical ability differs across cultures, with Western academia emphasizing abstraction over procedural speed AI is automating routine calculations, making conceptual thinking more valuable than ever Future professionals must focus on logical reasoning and model formulation to stay relevant After years of teaching here at SIAI, we have witnessed a varying cultural differences in perception of experts in AI/Data Science in the western hemisphere and in Asia.

Boot camp is for software programming without mathematical trainingMSc is a track for PhD, with in-depth scientific research written in the language of math and stat

Data Science can find correlation but not causalityIn stat, no causal but high correlation is called 'Spurious regression'Hallucinations in LLMs are repsentative examples of spurious correlation Imagine two twin kids living in the neighborhood. One prefers to play outside day and night, while the other mostly sticks to his video games. After a year later, doctors find that the gamer boy is much healthier, thus conclude that playing outside is bad for growing children's health.