Every year, I meet students who are qualified, capable, and yet quietly anxious about their transition into the workplace. The question they carry is simple: “If I’ve done everything right, why does it still feel uncertain?” The answer lies in a shift we don’t speak about enough—industry is no longer looking for degree holders; it is looking for individuals who can think, interpret, and make decisions in real situations. In academia, we reward correctness. In organizations, w

Over the past decade, professional certifications have become an important part of career growth. Many professionals actively pursue multiple certifications to improve their resumes, demonstrate expertise, and stay competitive in the job market. Certifications certainly have value. They help individuals learn, understand frameworks, and become familiar with industry expectations. However, there is a growing misconception in many organisations that a person with several certif

Over the last several years, enterprise skilling programs have evolved in useful ways. One positive shift has been the increased focus on clearly defining expected outcomes and success metrics. Not very long ago, most programs were designed primarily around tool proficiency or certification readiness , with the assumption that capability would naturally translate into performance. The industry has begun to move beyond this. Many programs now incorporate the why along with the

One of the quiet themes running through this series is that many models don’t disappear because they are flawed, they disappear because our habits do not change and we refuse to learn outside of the ‘cannon’. We standardize workflows. We optimize for familiarity. And eventually, certain modelling assumptions stop being questioned. Random Forest is perhaps the clearest example of this phenomenon. It is the model we reach when we want something dependable. The model we deploy w