GenAI Was GenAI was useless until Agentic AI ? Ankit Tomar, November 15, 2025November 15, 2025 For the last few years, I’ve been deeply involved in bringing AI into real, day-to-day enterprise workflows. And if I’m completely honest, the early days of GenAI inside corporate environments were… underwhelming. Not because the technology wasn’t impressive.But because businesses couldn’t see a path to real value. When I first… Continue Reading
Machine Learning 🐈⬛ How CatBoost Handles Categorical Features, Ordered Boosting & Ordered Target Statistics 🚀 Ankit Tomar, July 3, 2025July 3, 2025 CatBoost isn’t just “another gradient boosting library.”Its real magic lies in how it natively handles categorical variables, avoids target leakage, and reduces prediction shift — three major pain points in traditional boosting. Let’s break this down step by step. 🧩 Problem: Categorical variables in tree models Most boosting libraries (like… Continue Reading
Career Data Science and AI: Real Career Challenges You Should Know Ankit Tomar, June 16, 2025June 6, 2025 Over the past decade, I’ve worked across various domains and seen the field of data science evolve dramatically—from traditional analytics to today’s GenAI capabilities. There’s no doubt we’ve come a long way, and yet, I still find myself answering the same questions over and over again—on YouTube, LinkedIn, and even… Continue Reading
GenAI 🔮 GenAI – Key Trends and Demands I See for Agentic AI systems Ankit Tomar, June 14, 2025June 6, 2025 As of mid-2025, we’ve entered an era dominated by Agentic AI systems — autonomous agents powered by large language models (LLMs) that don’t just respond but can reason, act, and coordinate across tasks. Every week, we see a new “AI agent” hit the market — from task bots to co-pilots… Continue Reading
Career 10 Real Ways to Get Better at Data Science & AI Ankit Tomar, June 13, 2025June 6, 2025 Over the past decade, I’ve built countless models, launched data products, and worked across geographies in the field of data science and AI. One thing that stands out to me is the wide skill gap among data science professionals. While many are good at the core task—model development—most fall short… Continue Reading
Machine Learning 🎯 Go-To-Market Reduction with a Hypothesis-First Approach in Data Science Ankit Tomar, June 12, 2025June 6, 2025 Let’s face it — most machine learning models never make it to production. Despite the effort, time, and resources poured into data science projects, a staggering percentage fail to deliver actual business value. Why? One of the biggest culprits is that we often jump straight into the data and start… Continue Reading
Career 🚀 Don’t Just Be a Data Scientist — Become a Full-Stack Data Scientist Ankit Tomar, June 11, 2025June 6, 2025 Over the past decade, data science has emerged as one of the most sought-after fields in technology. We’ve seen incredible advances in how businesses use data to inform decisions, predict outcomes, and automate systems. But here’s the catch: most data scientists stop halfway.They build models, generate insights, and maybe make… Continue Reading
#1. Understanding Generative AI (GenAI) in simple language. Ankit Tomar, July 30, 2024June 17, 2025 Generative AI is revolutionizing the way we approach artificial intelligence, particularly through its ability to predict and generate text. Here are two fundamental concepts to grasp: Training and Achieving Artificial General Intelligence (AGI) Companies train these models using vast amounts of internet data to strive for Artificial General Intelligence (AGI),… Continue Reading