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Ravi Ramachandran

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Ravi Ramachandran

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Ravi Ramachandran helps B2B startups and enterprises turn AI innovation into commercial success. As Co-Founder of the open-source AI agent project Eidolon AI and now a Growth Advisor with The GTM Firm, Ravi works at the intersection of AI, data and go-to-market strategy. He has advised several startups and GTM leaders on packaging, positioning and scaling AI-powered products, drawing on deep experience in AI Agents, data platforms and enterprise software. Previously, Ravi played a key role in commercializing the world’s first AI-enabled data security platform at Okera (acquired by Databricks) and establishing the Machine Learning Data Catalog category at Waterline Data (acquired by Hitachi Vantara). He also helped scale AppLabs into the world’s largest independent software testing company (acquired by CSC) and guided VanceInfo to a successful IPO (NYSE: VIT). Known for translating complex technical capabilities into successful go-to-market execution, Ravi offers a rare dual perspective - from building intelligent systems in the engine room to driving their adoption and scale in the market

Bio from: Big Data LDN 2025

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AI Agents aren’t just changing how we build software - they’re redefining how software is bought, adopted and scaled. From customer support to manufacturing to compliance, AI-driven systems are unlocking new productivity and automation. But turning that potential into business impact takes more than smarter models and data. It requires rethinking go-to-market strategy, packaging and distribution.

In this session, Ravi Ramachandran, Co-Founder of AI agent project Eidolon AI and Growth Advisor to several startups through The GTM Firm, offers a dual perspective from inside the engine room building intelligent systems and the front lines of bringing them to market. Drawing on patterns across industries, he’ll share how AI tools are actually being used, what’s driving awareness and adoption and the new GTM playbooks emerging in an Agent and GenAI-powered world.

You’ll leave the session with practical, real-world examples of how to package, position and scale AI Agent solutions and a clear view of what’s hype versus what’s delivering results today.