Glenda O’Keefe

Build vs. buy is back in the headlines: How to make the right call

The author recommends a "buy-first" strategy for data and AI, suggesting that organizations should purchase foundational tools to accelerate time to value and avoid the immense com…

25 customer meetings in 3 days: 5 recurring themes about data and AI in 2026

After analyzing 25 customer meetings across various industries, Glenda O’Keefe identifies five recurring themes regarding the challenges of scaling AI and data products. While tech…

The cost of standing still: what data inaction really risks in an AI-driven market

Resisting change in data management leads to lost competitive advantage because fragmented, ungoverned data prevents organizations from reacting quickly to market shifts. To remain…

From data access to data empowerment: why AI changes the data product equation

Many organizations struggle to derive value from data because their existing datasets are not designed for practical use, leading to inefficient, manual preparation processes. To b…

Why data products belong on the P&L — and how to make them pay

This article argues that treating data as a product – with clear ownership, governance, and measurable ROI – is key to unlocking the true value of data and AI investments. Organiza…