Build trusted, AI-ready data products that people actually use. – August 19 | 11 AM EST
Somewhere in your organization right now, a business analyst is downloading a spreadsheet they don’t fully trust, from a system they can’t fully trace, to make a decision that can’t wait. Somewhere else, another analyst is spending hours searching for the right dataset before giving up and creating their own. Data is everywhere, but finding the right data, understanding it, and trusting it enough to act on it remains one of the most persistent frustrations in the enterprise.
This panel discussion explores how leading organizations are addressing that challenge by treating data as a product. Instead of managing governance, data quality, and discoverability as separate initiatives, leading data teams are building trust directly into every data product. The result is data that is governed, validated, enriched, and continuously monitored from the moment it’s created.
Experts from Precisely, Huwise, Verisk Analytics, and Alexion Pharmaceuticals, Inc. will join CDO Magazine to discuss how organizations are putting this approach into practice—from building internal self-service data marketplaces to enabling secure data sharing across business ecosystems. You’ll hear practical strategies for delivering trusted data products that help people make confident decisions and prepare their organizations for AI.
Join us to learn:
- How organizations are reshaping their data strategy around data products to turn platform investments into measurable business outcomes
- Why embedding data integrity into every data product helps build trust across teams, partners, and ecosystems
- What makes a data product AI-ready, including the governance, traceability, and trust needed to support AI models and agents
- How organizations progress from early data product initiatives to mature data marketplaces, and the technology and operating models that support that growth
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