Avoiding the rocket trap: AI strategy needs a guiding mind

Senior Data and AI leaders at Guild 2024 in Lisbon Portugal. Small group.

At Guild 2025, senior data and AI leaders will be tackling the challenges of successfully scaling AI. Based on insights from Databricks, Elsevier, and DataIQ, this post explores why CDAOs need to act as guiding minds—avoiding fragmentation by aligning innovation with enterprise-wide value.

Walking in sunshine: Resilient leadership in the age of AI

Elizabeth Osta asking a leadership question at Guild 2024

At DataIQ’s Guild think tank, senior data and AI leaders unpack the emotional arc of leadership—from early optimism to disillusionment, and back to clarity. Featuring insights from Databricks, Elsevier, and DataIQ, they discuss why emotional resilience is a core capability for AI-first leadership.

Summit North America Programme

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Data and AI are no longer emerging technologies—they are critical driving forces behind the success of every business. But turning potential into impact isn’t straightforward. Success relies on overcoming challenges like limited buy-in, unpredictable funding, compliance barriers, and scaling issues, while simultaneously fostering collaboration and driving engagement. We’re thrilled to provide you with this downloadable […]

Why analysts stay stuck in execution mode

Data leaders at the DataIQ Discussion 2025

Analytics teams remain stuck in delivery mode rather than shaping strategic conversations, but this can be remedied with trust and culture according to David Castro-Gavino, Global Vice President of Data, HelloFresh SE.

DeepSeek – Game changer or risk?

Deepseek and Open Ai Chat GPT artificial intelligence applications on an Apple iPhone Smartphone. Mobile phone on a white wooden table.

What are the risks associated with the controversial generative AI tool DeepSeek and what are the benefits that data leaders can extract?

How to Craft an Award-Winning Entry

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Now in its 13th year, the DataIQ Awards celebrate exceptional companies, individuals, and programmes that have significantly advanced the impact of data and AI. These prestigious awards honour outstanding contributions to innovation, the cultivation of data-driven cultures, and the advancement of ethical practices in the industry. Our comprehensive guide provides all the information you need […]

DataIQ 100 North America to be unveiled at Nashville Summit

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The DataIQ 100 has long been acknowledged as a benchmark for leadership in data and AI. Expanding its reach to North America reinforces DataIQ’s commitment to showcasing and connecting the individuals driving data-led transformation across industries.  “Recognizing the leaders driving data and AI is not just about celebrating individual achievement but also acknowledging the strategic […]

How can businesses leverage agentic AI?

DataIQ members discuss agentic AI

Agentic AI is the next evolution for data-driven organisations, so community members came together to share their early-stage experiences and aspirations for the new technology.

The Big 5: The Defining Priorities for Data and AI Leaders in 2025

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On Tuesday, 4 March 2025 we unveiled the 2025 DataIQ 100 Europe – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognised in the 2025 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience […]

Voice of the Chief Data Officer 2024

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We´re delighted to present to our members Voice of the Chief Data Officer 2024. This report captures the latest insights, experiences and advice shared by some of today’s most brilliant Chief Data Officers during Data Leader’s Guild think tank which took place 20-21st June just outside of Lisbon, Portugal. As always, Guild was an exploration […]

Developing engagement with your own data academies

DataIQ members heard about practical considerations in implementing data management.

In recent years, many DataIQ members have heavily invested in developing data academies, e-learning courses, and in-house training to improve data literacy. However, engagement and application of learning remain significant hurdles.