On Curse of Dimensionality

In this post, I will be sharing my understanding of feature selection process: In Theory feature selection can help in reducing the dimensionality, leading to simpler models that are easier to understand and interpret. Models with large number of features

Generative AI and Future of HealthCare

In this article, we investigate the potential that AI offers for improving healthcare delivery. AI-Guided Treatment Policies: Deaths due to medical error in the U.S. is a significant problem. Generative AI models could assist healthcare providers in seeing potential

AI Ethics and Augmented Intelligence

When we talk about Artificial Intelligence, it’s tempting to think in extremes—either the dystopian vision of machines replacing humans or the utopian dream of fully autonomous systems solving all our problems. But the reality, at least for now,

Embarking on an AI transformation Journey

Building AI proficiency is fundamentally different from traditional organizational changes. Integrating AI into an enterprise means more than implementing tools—it’s about reshaping how a company operates. And in today’s rapidly advancing AI landscape, companies that can quickly

Data Strategy for Building Defensible Moats

In a data-driven world, it’s tempting to think of AI as some kind of magic wand. But here’s the hard truth: most successful AI projects aren’t built on groundbreaking algorithms—they’re built on data as a

Managing and Organising AI Talent

AI projects aren’t like traditional software projects. They require their own approach. For starters, you will need a strong data infrastructure to support them. But even more importantly, you need to think of AI development as an iterative process:

How Innovation works?

Why do economies that invest heavily in research and development (R&D) grow faster? It’s a question worth exploring, especially when you consider the evidence: countries like South Korea and Israel, which consistently spend over 4% of their