talk-data.com talk-data.com

Ravi Ramachandran

Speaker

Ravi Ramachandran

4

talks

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

Frequent Collaborators

Filter by Event / Source

Talks & appearances

4 activities · Newest first

Search activities →

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.

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.

Our panel discussion explores the transformative potential of big data and AI across diverse industries. We will address key technical challenges such as data management and model scalability, along with ethical and privacy concerns, including data utilization and algorithmic biases. Looking ahead, we will discuss future trends and emerging AI breakthroughs. Emphasizing interdisciplinary collaboration, we advocate for diverse teams to ensure fairness and innovation in AI solutions. This dialogue aims to illuminate the complexities and opportunities in big data and AI.

session
with Daniel Dobalian (Google Cloud) , Ravi Ramachandran (The GTM Firm & Co-Founder, Eidolon AI) , Ram P (Google Cloud)

Reliability is the bare minimum for any cloud infrastructure provider. Hyperscalers have differences when it comes to reliability. There are major differences in reliability – especially how it's reported publicly. Get an objective assessment of outage/incident data from three major cloud providers. This data is based on published incidents from leading hyperscalers. Also, learn how you can improve your operational reliability, through proactive personalized incident notifications impacting Google Cloud and services.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.