Dive deep into Google Cloud’s industry-leading approach and total transparency to incident communications through Personalized Service Health. Learn how Google leverages machine learning (ML) to provide fast and relevant insights through Personalized Service Health, so you can integrate them into your incident response, whether it’s through AIOps platforms or conventional incident management systems. Go beyond the theory and dive deep into real-world customer examples and experiences of these patterns, and hear how experts from SAP approach incident response with Personalized Service Health.
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Speaker
Ravi Ramachandran
1
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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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