Teaching AI Agents to Ask Better Questions by Playing "Battleship"

MIT researchers use the classic game as a test bed for AI agents, finding a small model can outperform the biggest ones at 1 percent of the cost.

At Data Tribes, we encountered this compelling piece from MIT News and felt it deserved a closer look, especially for anyone working in AI research, data science, or building intelligent agents.

By Alex Shipps | Source: MIT News | Posted: 6/13/2026

The 8 Data Trends Defining 2026

At Data Tribes, we recently came across an insightful article by Bernard Marr that strongly reflects where the data and AI space is heading.

It confirmed something we are already seeing in the field. Artificial intelligence is no longer something we are preparing for. It is already shaping how businesses operate today. And at the center of it all is data.

Data is what allows AI to learn, evolve, and create real value. But as AI systems become more advanced, organizations are being pushed to rethink how they collect, manage, and use data. The old ways are no longer enough.

As we move into 2026, we are seeing data become more dynamic, more intelligent, and more embedded into everyday operations. 

By Bernard Marr | Source: Forbes | Posted: 4/24/2026

Building AI Readiness: A Data-First Perspective

AI readiness is not about choosing the right model, it starts with building the right data foundations.

This article explores how discoverability, privacy by design, data quality, and representativeness shape trustworthy and scalable AI.

Using the Data Tribes framework, we highlight why a data-first mindset is essential to move from AI experiments to real impact.

By Data Tribes | Source: Data Tribes | Posted: 2/7/2026

Building AI That Actually Works: From Use Cases to Foundations

Many organizations invest heavily in AI, yet struggle to realize value.

The reason is simple: AI is a system, not a tool, and systems require strong foundations.

By Data Tribes | Source: Data Tribes | Posted: 1/4/2026

A CEO's Guide To Data Strategy

The article emphasizes that CEOs must lead their organisation’s data strategy by aligning business goals with IT initiatives. It sets out a clear framework: define purpose, secure leadership, break down silos, embed governance and ensure execution through collaboration between IT and business functions.

By Adrian Knapp | Source: Forbes | Posted: 11/17/2025

Data Governance and AI Governance: Where Do They Intersect?

A thoughtful article by DATAVERSITY exploring the intersection of Data Governance and AI Governance, and how the two disciplines are increasingly connected in the age of generative AI.

By Michelle Knight | Source: Dataversity | Posted: 10/19/2025