#286 Ram Venkatesh: How to Build, Operate & Scale Enterprise AI Agents (Sema4.ai)

Discover how Sema4.ai is redefining enterprise AI with a platform built to help businesses build, operate, and scale SAFE AI agents. In this conversation, CTO and co-founder Ram Venkatesh explains why simply generating insights isn't enough and why enterprises need AI that can act on those insights reliably, securely, and at scale. If you want to understand the future of agentic AI and how to safely scale AI across your organization, this episode is a must-watch. Stay Updated:Craig Smith on X: https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (00:00) The Data-to-Action Gap (00:38) Ram's Big Data Background (03:22) Why RPA Failed & Agents Win   (04:39) Conversational Agents vs Manual Workflows   (06:28) The Power of a Semantic Layer   (08:20) Runbooks: Capturing Intent, Not Just Steps   (11:16) Connecting Data Across Systems   (15:12) How Sema4.ai Keeps AI Secure   (17:37) From 20 to 2,000 Agents: Scaling the Fleet   (20:20) Choosing the Right Agent Platform   (26:22) Process Architects: The New Role in AI   (29:00) Why Finance & Healthcare Lead in Adoption   (30:04) Sema4.ai's Pricing & Adoption Playbook   (41:29) Scaling Faster with Snowflake Deployment   (43:10) ISVs & Domain Experts as Agent Builders  

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