Towards Data Science

Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform.

A practical enterprise AI architecture with data agents, AI-powered QA, and AI governance. The post Many Companies Use AI.

Towards Data Science
Sep 8

Introducing ShipAI

Towards Data Science has released a video showcase titled "Introducing ShipAI," which highlights real‑world AI work. The post announces this new visual resource and its focus on practical AI applications. It is positioned as a first look into the platform’s capabilities.

By TDS Editors
Towards Data Science
Aug 18

From Prototype to Production: The Architecture Behind Secure & Governed AI Agents

The article discusses how to transition AI agents from prototype to production by implementing responsible AI practices, security measures, and governance frameworks suitable for enterprise use. It outlines the necessary architectural layers that ensure these agents operate safely and comply with organizational policies. The focus is on building robust, secure, and governed AI systems that can be reliably deployed in business environments.

By Partha Sarkar
Towards Data Science
Sep 22

4 Ways to Use AI on a PhD Thesis

The article outlines four practical applications of AI for PhD students: locating relevant citations, consolidating code snippets, fact‑checking research claims, and preparing for the thesis defence. It highlights how AI tools can streamline the research process and improve the quality of academic work.

By Conor O'Sullivan
Towards Data Science
4d ago

AI Made Data Scientists Faster. Now It’s Expanding the Job.

AI has accelerated data scientists’ productivity, but its influence extends beyond speed. The technology is reshaping who owns data, how judgment is exercised, and the overall career trajectory of data scientists. These changes signal a broader transformation in the field’s structure and responsibilities.

By Yu Dong
OpenAI Blog
Dec 8, 2025

The state of enterprise AI

Key findings from OpenAI’s enterprise data show accelerating AI adoption, deeper integration, and measurable productivity gains across industries in 2025.

OpenAI Blog
Sep 1

How AI-native companies turn workflows into operating capability

The article discusses how AI-native companies such as Basis, Clay, and Exa Labs employ AI agents to enhance various business processes, including onboarding, account management, and developer integrations. It highlights the practical applications of these AI-driven workflows for enterprise leaders, illustrating how they can be adopted in similar contexts.

Towards Data Science
Aug 27

How to Work with AI Coding Agents

The article "How to Work with AI Coding Agents" offers a practical guide aimed at improving code quality rather than merely increasing quantity. It focuses on strategies and best practices for effectively collaborating with AI coding tools to produce better code. The post was originally published on Towards Data Science.

By Sara A. Metwalli