Explore the Latest Business Data Fabric and AI Research
Evidence-based best practices and real-world lessons for designing and scaling Business Data Fabrics – all peer-led, vendor neutral, and focused on real executive outcomes.

Best Practices for Architecting Data Innovations
Coming Soon

Governance for Scalability and Security
Coming Soon

Closing the Data Trust Gap: A Strategic Imperative for AI-Ready Enterprises
Coming Soon

Best Practices for Architecting Data Innovations
July 8th (London)

Best Practices for Architecting Data Innovations
July 10th (Paris)

Governance for Scalability and Security
Aug 27th (Virtual)

Best Practices for Architecting Data Innovations
Sept 24th (Munich)

AI-Agents, and a Vision for the New Data Workforce
Oct. 7th (Seattle)

Real-World Innovations in AI, Automation & Intelligent Supply Chains
Oct. 9th (San Francisco)

McKinsey: The missing data link: Five practical lessons to scale your data products

Best Practices for Architecting Data Innovations
July 8th (London)

Best Practices for Architecting Data Innovations
July 10th (Paris)

Governance for Scalability and Security
Aug 27th (Virtual)

Best Practices for Architecting Data Innovations
Sept 24th (Munich)

AI-Agents, and a Vision for the New Data Workforce
Oct. 7th (Seattle)

Real-World Innovations in AI, Automation & Intelligent Supply Chains
Oct. 9th (San Francisco)
Share Your Voice. Shape the Conversation
The IDEA Institute invites select members to contribute thought leadership in the form of executive commentary, timely industry perspectives, and real-world reflections on the evolving role of data and enterprise AI. This is not just a platform for writers — it’s a space for practitioners, architects, and decision-makers to share what they’ve learned, challenge assumptions, and elevate the industry dialogue.
Contributions may be featured in IDEA research briefs, published as standalone opinion pieces, or included in member-exclusive reports.