Building differentiation with AI‑powered data products - Omni, Brevo, Hivebrite, and Ogury

🔥 How do companies transition from data being a cost center to a revenue generator using AI-powered data products?
🔥 What are the best practices for data governance and managing permissions in embedded analytics solutions?
🔥 How does a semantic layer enable effective natural language interaction with data and drive AI adoption among users?

Panel discussion with Colin Zima, Taha Le Bras, Ioana Creux Tocmag, Jean Castaing
Colin Zima, Co-Founder & CEO at Omni, a leader in embedded analytics platforms and semantic layers, hosts a discussion with data experts from Brevo, Hivebrite, and Ogury. This panel explores how companies are transforming data into a competitive advantage using AI-powered data products. They share strategies for building, monetizing, and managing integrated analytics solutions, from data governance to AI adoption.
Did you know that Brevo's embedded analytics add-on achieved 250% revenue growth in just one and a half years with only 100 clients, and 25% of their 400 active clients exclusively use AI for data interaction?


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🎬 CHAPTERS
00:00:00 Introduction & Panelist Introductions
00:02:23 Building External-Facing Data Products: Stories and Motivations
00:07:18 Data Permissions & Governance: Internal vs. Embedded Use Cases
00:11:10 Leveraging Natural Language and AI for Data Interaction
00:16:58 Monetizing Analytics: From Cost Center to Revenue Stream
00:22:08 Q&A: Data Validation, Ambiguity, and the Analyst's Evolving Role

© 2025 Hymaïa - Cabinet de conseil et Formation Product, Data & IA

AI-Powered Data Products: Driving Differentiation & Growth #AIPoweredData #DataProducts #EmbeddedAnalytics #SemanticLayer
Unlocking Data Value: Insights from Brevo, Hivebrite & Ogury #DataStrategy #AIinBusiness #DataMonetization #ProductAnalytics
From Data to Revenue: Embedded Analytics and AI in Action #DataToRevenue #AIAnalytics #DataGovernance #TechPanel