The Agentic AI Conference by Data Science Dojo returns on November 9–10, 2026, with two days on the security, compliance, governance, and alignment challenges of deploying autonomous AI. The conference has drawn 178,000+ attendees across its three previous editions. Every session is recorded, so you can watch on demand if you can’t join live. Register free: hubs.ly/Q04B0JdR0

A small open-source LLM can do more than generate text. Anubhab Banerjee breaks down how to transform Qwen into a lightweight JEV classifier designed for fast, single-pass decisions. towardsdatascience.com/how-t…

As GraphRAG systems grow, not every decision needs to go through an LLM. Partha Sarkar looks at how TypeSafe Jev can handle frequent graph decisions while LLMs focus on the tasks that require deeper reasoning. towardsdatascience.com/graph…

AI’s impact on data science goes beyond productivity gains. Yu Dong explores how more capable models are expanding the role and reshaping the career path for data scientists. towardsdatascience.com/ai-ma…

Your AI bill may be growing for reasons that have little to do with simply having more users. Gursimar Singh examines how tool calls, file access, and multi-step agent workflows can turn a single request into a much larger cost. towardsdatascience.com/your-…

What happens when you replace 1,000 small Apache Iceberg files with six larger ones? This experiment measures the impact on query performance across three different SQL workloads. towardsdatascience.com/i-com…

What if you could turn a small open LLM into a fast text classifier? Anubhab Banerjee shows how to build a JEV model from an open-source Qwen LLM by replacing its language-modeling head. towardsdatascience.com/how-t…

GraphRAG can help LLMs reason across relationships that simple vector search may miss. Partha Sarkar explores how calibrated decision models can handle high-frequency graph decisions while keeping LLMs focused on reasoning and synthesis. towardsdatascience.com/graph…

AI is no longer just helping data scientists complete the same tasks faster. Yu Dong examines how it is changing ownership, judgment, and the role of data scientists itself. towardsdatascience.com/ai-ma…

AI budgets are changing as companies move from simple chatbot interactions to agentic workflows that consume tokens at every step. Gursimar Singh explores why AI costs can escalate quickly and where teams may be paying twice for the same work. towardsdatascience.com/your-…