Implementing a Scalable and Governed Self-Service Model

Being scalable is essential for data success.

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.

Making Data Work for the Energy Sector

Energy Sector RT

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

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Day 2 of the US DataIQ Summit continued the opening day energy and discussions, shifting from foundational strategy and experimentation surrounding AI to the structural, cultural, and commercial transformations needed to embed data and AI into the enterprise.

The Inflection Point: Data and AI Moving to the Mainstream

US Summit report cover

Data and AI have reached a turning point, evolving from emerging capabilities to mainstream catalysts of enterprise transformation. In North America, this shift is being led by the most influential data and AI leaders, embedding intelligence at the core of their organizations to deliver results at scale. Get your copy to explore how the most […]

Day 1 Highlights: DataIQ Summit North America 2025

Ashish Verma presenting to audience at DataIQ Summit North America 2025

The opening day of the 2025 DataIQ Summit North America brought together an energized community of the region’s leading data and AI practitioners, strategists, builders, and changemakers united by a shared mission: to move data and AI into the mainstream of business value creation.

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.