Rewind through the shifts in data quality, agentic data management, and governed context that shaped trusted AI in 2026, then fast-forward to what’s ahead in 2027.
of data leaders don't fully trust the data in their organisation. Yet they're being asked to scale AI faster than ever.
- What changed in 2026
- How leading organizations are responding
- What to prioritize as you plan for 2027
Event highlights
See how leading organizations are building trusted data for AI, managing data at AI speed, and staying ahead of governance and regulatory demands.
Live demos
Enjoy live demos of shift-left data quality, AI agents grounded in quality scores and governed context, automating data management, reusable rules, and Master Data Management for AI.
Data leaders
Hear from data leaders at Lennar, Mondelēz and more on bringing AI agents into production, modernizing data environments, and leading the organizational change that comes with AI and analytics.
AI in 2027
See what to expect in 2027: how data managment teams will partner with the business on AI, why trust, context, and semantic layers will matter more; how AI will change data issue detection and remediation; and where AI governance and regulation are headed.
Choose your session
Scroll to reveal both sessions
Rewind
What changed in 2026?
Hear how data leaders put AI into
production, modernized their data
environments, and built the trust to
move faster.
Looking back to move FWRD
Register now for the full experience to join both sessions, or choose the one most relevant to you.
Fast FWRD
What’s next for 2027?
See how AI will reshape data
management, governance, and the
role of the data team.
Hear from the leaders moving data and AI FWRD
Get an inside look at how data and AI strategies are evolving from the people building, leading, and putting them into practice.
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Martin Zahumensky
CEO
Ataccama
Martin
ZahumenskyCEO, Ataccama
Martin Zahumensky is CEO of Ataccama, bringing more than two decades of experience in data management, technology, and AI. A longtime company builder and former CTO, he leads Ataccama’s strategy to help enterprises put AI to work with data they can trust.
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Jessica Smith
Chief Product Officer
Ataccama
Jessica
SmithChief Product Officer, Ataccama
Jessica Smith is Chief Product Officer at Ataccama, bringing more than a decade of experience across enterprise data management, AI, and product development. She leads Ataccama’s product strategy, focused on helping enterprises improve data quality and build the trusted data foundation needed for AI.
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Isaac Gabay
VP of Data & AI
Lennar
Isaac
GabayVP of Data & AI, Lennar
Isaac Gabay is VP of Data & AI at Lennar, where he leads enterprise data initiatives supporting the company’s modernization and AI ambitions. His work focuses on improving data quality, governance, and accessibility to help Lennar operate more efficiently and put trusted data to work at scale.
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Camilla Björkqvist
Senior Director Global Data Governance & Transformation
Mondelēz International
Camilla
BjörkqvistSenior Director Global Data Governance & Transformation, Mondelēz International
Camilla Björkqvist is Senior Director of Global Data Governance & Transformation at Mondelēz International. She leads work to strengthen how data is governed and used across the business, with a focus on turning data into a foundation for business impact, innovation, and transformation.