DataIQ 100 Summit North America in partnership with Blend logo

29-30 April 2026
JW Marriott, Nashville

Where Data and AI Leaders Meet to Transform Vision into Impact

Apply to join our exclusive group of the most influential data and AI leaders from leading global brands at the DataIQ 100 Summit North America, taking place on April 29–30, 2026 at the JW Marriott, Nashville.

This is an unrivalled opportunity to connect with peers, exchange ideas, and learn from senior practitioners across all sectors. Over two days, attendees will engage in high-level discussions exploring the most important current and future topics shaping the rapidly evolving data and AI landscape.

Places are strictly limited.

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The Premier Conference for Data-Driven Transformation

With insights from 30+ expert voices across the C-Suite, leading researchers and fellow industry visionaries, the learnings packed into this two-day conference will make a true impact.  Through keynotes, panels and interactive discussions, you will gain the strategies and inspiration needed to confidently lead data and AI transformation in a rapidly evolving landscape.

Honoring the Most Influential Data & AI Leaders of 2026

Be part of the celebration as we reveal the 2026 DataIQ 100 North America – the industry’s only fully curated power list spotlighting the most influential and impactful data and AI leaders, including the highly anticipated Top 10 countdown!

Who is this event for?

The DataIQ 100 Summit North America is for ambitious, client-side data and AI leaders who want to step outside of the echo chamber of their own organisations to meet, share ideas and learn from a mixture of expert C-Suite voices and industry leaders who will share their experience overcoming their data and AI challenges and are now helping to transform the performances of their organizations.

Speakers Highlights

 

Key Themes

 

  • Building an Indispensable Data Function: Proving value to the board to keep top-down buy-in.
  • Readiness for Agentic: Ensuring strong, high-quality data foundations exist to future-proof the organisation, maintain competitive advantage and allow AI scalability at speed whilst managing risk.
  • Establishing Robust Data Literacy: Embedding literacy as a leadership capability, building a culture of confidence in data and AI across the organisation.
  • Managing the Full Force of Regulatory Pressures: Handling rapid changes in a fragmented regulatory environment; learn to balance innovation with compliance, risk and ethical use of AI and data.
  • Winning Executive Commitment and Sponsorship: Align data strategy with enterprise objectives and understand how the motivations and priorities of members of the C-Suite.
  • Progressing from Pilots to Sustainable Enterprise Impact: Demonstrating tangible results quickly across functions to secure future funding for long-term projects.
  • Navigating the AI Hype Cycle: Cutting through the noise and conceptualising emerging technologies that will soon be investment priorities.
  • Overcoming the Talent & Skills Bottleneck: Attract the right talent, upskill and retain humans with AI capabilities to drive investments forward.
  • Connecting the Business Through Strategic Alignment: Enable transformation by building a culture that truly trusts and adopts data to deliver on organisational priorities.
  • Adapting to be the Best Data Champion in Any Organization: Proving agility and resilience as the role of the Chief Data Officer continues to evolve.