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The missing layers: Why trust and value decide who wins at enterprise AI

Published in Business Reporter The most expensive line item in enterprise AI is no longer compute – it is the gap between what AI promised and what it is actually delivering. After two years ofpilots, boards have stopped asking what AI can do and started asking what itreturns. By 2027, Gartner forecasts that 80 per […]
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The AI Accountability Model: Why Explainability Alone Is Not Enough and What Ownership at Decision Time Really Means

A vision from Nicolas, Chief Product Officer at DataGalaxy, on why technical explainability has become a comfortable illusion and how to build an accountability framework that actually keeps pace with AI. For the past few years, the conversation about responsible AI has revolved around explainability. Can the model tell us why it made a decision? […]
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Regain control of your AI portfolio: visibility, cost governance, and lifecycle management

AI investment is accelerating fast, but for most organizations, the biggest blocker to scaling AI isn’t model capability. The biggest blocker for CDAOs and Heads of Data and AI is the lack of organizing their AI investments like an AI portfolio. Fundamentals of portfolio management like visibility, accountability, cost governance, and product lifecycle management. In […]
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AI and Traditional Data Practices in 2026: What Still Works, What Doesn’t, and What Leaders Are Doing About It

A conversation with Joe Reis, author and host of The Joe Reis Show, on why the unsexy fundamentals of data management have become the most strategic investment leaders can make in 2026. For the past two years, every board meeting started with the same question: what’s our AI strategy. Decks were built. Pilots were funded. […]
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Meet Blink, your AI copilot

Are you looking for a faster way to understand, trust, and use your data? Every organization aspires to make data truly self-service. However, without the right context, clarity, or confidence, users often fall back on old habits. These can include asking a colleague for help, copying an outdated report, or rebuilding a project from scratch. […]
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AI governance best practices: Policies, teams, and more

If 2023 and 2024 were the years of AI experimentation, 2025 is the year of formal governance.  New regulatory milestones, fresh guidance from standards bodies, and maturing internal controls have made AI governance best practices a board-level priority. In the EU, the Artificial Intelligence Act began phasing in requirements earlier this year and added additional […]
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A pathway to AI governance: From principles to implementation in 5 steps

Artificial intelligence is no longer an experimental technology. It is a core driver of competitive advantage. Yet, without rigorous oversight, AI can introduce ethical risks, regulatory exposure, and operational failures that jeopardize an organization’s reputation and bottom line. Therefore, establishing a structured pathway to AI governance is now a strategic imperative. This article explores the […]
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Top AI governance software tools compared (2025)

Artificial intelligence is rewriting the rules of modern business. However, without the right guardrails, it can create more problems than it solves.  AI governance software gives data teams and business leaders the tools to monitor, manage, and keep their AI systems trustworthy and compliant.  In 2025, there are more options than ever, making it tough […]
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Preparing your data for machine learning: Top 6 best practices

If you’re working with machine learning, one thing becomes clear fast: Your model is only as good as the data you feed it. While algorithms often steal the spotlight, it’s the behind-the-scenes work, like getting your data clean, consistent, and ready, that truly drives success. Most data scientists will tell you that data preparation takes […]
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7 key considerations when building an AI governance framework

With great power comes even greater risk. AI is being adopted at a blistering scale and pace. However, the unintended downside is that it’s moving faster than policy, tooling, or training can keep up. It’s time for a dedicated AI governance framework. One that’s squarely rooted in your business realities, expands with your ambitions, and […]