1.9 Years: What Short CDO Tenure Says About Your Organisation
Our latest report reveals that the average tenure of a Chief Data Officer in Europe is 1.9 years. In other words, the role designed to lead data and AI transformation across people, culture, and technology is gone in less than two years. What does that mean for your organisation?
Stop Explaining Agentic AI — Start Implementing It
Scaling agentic AI and proving its worth with successful implementation is the challenge being faced by data and AI leaders as curiosity wanes.
Data and AI Leadership: Under Way and Under Pressure
A new report by DataIQ in collaboration with Databricks explores the real leadership work behind the AI-first organisation
Designing Data Strategies That Last Beyond Year One
How organisations can secure executive ownership, align delivery, and build data strategies that sustain business transformation.
Leadership Traits Fueling AI Excellence
The profiles of the 2025 DataIQ 100 North America have been assessed by Blend with a DiSC profile and Dashboard to highlight what makes a data and AI leader.
Part 3 – The Next Generation Data and AI Leader: From Hype to Hard Value
The DataIQ 100 examine how future data and AI leaders can transition from hype to value as organisations continue to evolve in a new data-centric landscape.
What the 2 August EU AI Act deadline means in practice for EU and UK‑based data and AI leaders
The EU AI Act’s second major phase is now live and enforceable, so what does this mean for data and AI leaders across the continent?
Part 2 – Culture versus Speed: The Regional Realities of Data and AI Leadership
Culture versus speed is the core or the difference between North American and European data and AI leaders according to the most recent DataIQ 100 list.
Part 1 – Common Ground, Rising Stakes: The Universal Mandate for Data and AI Leaders
Part one of a new series examining what data and AI leaders from the DataIQ 100 Europe and DataIQ 100 North America lists for 2025 think about the evolution of the role over the next year.
More than Data: Key Leadership Skills to Win Sponsorship
This article, part of our new DataIQ 100 Insights Series, unveils the leadership behaviours that help data and AI leaders earn trust, build influence, and secure lasting sponsorship by leading beyond their teams and becoming indispensable to their organisations.
Successfully Enabling Data Sharing in the Aerospace and Defence Sector
Aerospace and defence data and AI leaders examine the challenges surrounding security and regulation of sharing data both within and between organisations.
Decoding Sponsorship Approaches: Regional Insights from the DataIQ 100
This article, part of our new DataIQ 100 Insights Series, examines how regional mindsets shape data sponsorship, revealing subtle yet powerful differences in strategy, language and engagement between European and North American leaders.
Practical Actions for Data and AI Leaders Under the UK’s Data (Use and Access) Act
The UK Data (Use and Access) Act 2025 is a moment of reorientation and data and AI leaders need to embrace the changes to succeed.
Sponsorship That Sticks: 8 Strategies Data and AI Leaders Don’t Talk About Enough
The DataIQ 100 provide their insights into what makes a successful sponsorship and how it can be maintained.
AI roadmap for 2025
Supported by Blend, this DataIQ report delves into how AI has been scaled, the AI maturity of data-driven versus gut-based organizations, and the evolving state of AI leadership and culture. Download your copy of the AI Roadmap to check your journey to becoming the most effective AI-centric organization and receive tips on improving your AI […]
Succeed with Data Career Transitions and Leadership
At the May meetup, leaders and data experts from DataIQ clients came together to discuss career progression stories and delve into how the career pathway for data professionals is changing.
Implementing a Scalable and Governed Self-Service Model
Data leaders from sectors including utilities, media, financial services, and manufacturing shared practical insights on how to design scalable self-service models that enable local action without losing governance, trust, or value.
Translating Reform into Reality: How DataIQ Supports the New Data (Use and Access) Bill
The Data (Use and Access) Bill 2025 is a significant recalibration of the UK’s data protection landscape and data leaders need to be aware of what changes are coming.
Making Data Work for the Energy Sector
Data governance in the energy sector remains a stubborn problem despite heavy investment. While data governance is seen as a prerequisite for AI initiatives, using AI to enhance data governance is still largely aspirational.
Day 2 Highlights: Summit North America 2025 – Part Two
Day 2 of the DataIQ Summit North America showcased keynote speeches from some of the leading names in data and AI.