Reliability Calls 3 - AI Automation that actually works: $100M, messy data, zero surprises скачать в хорошем качестве

Reliability Calls 3 - AI Automation that actually works: $100M, messy data, zero surprises

Every month, we unpack what it takes to build reliable AI – AI that doesn’t just demo well, but works reliably in production, handles edge cases, and earns trust over time. Here’s this month’s agenda: AI Automation that actually works: $100M, messy data, zero surprises PromptQL CEO Tanmai Gopal shares how enterprise teams are using PromptQL to drive over $100M in expected annual impact through AI-powered automations of business-critical workflows. For AI to take on business tasks, it must meet a very high bar for reliability. Most GenAI systems fall short—too brittle, too unpredictable for production. PromptQL changes that. In this session, Tanmai will walk through how teams are using PromptQL to deploy AI that actually works in the enterprises—reliably. 00:00 Intro 00:13 Agenda 00:25 Tanmai Fireside chat 00:52 Your best programmer is Karen from Accounting 13:50 An example workflow 14:58 Demo : ) 27:34 Secure by design 31:59 The Approach 34:08 Few more examples 37:09 QnA 38:00 Q1 41:03 Q2 45:43 Q3 46:41 Q4 48:53 Wrap : ) You’ll learn: How PromptQL’s agentic semantic layer lets you build reliable AI on existing messy, distributed data—without expensive clean ups or centralization projects How PromptQL eliminates the non-determinism inherent in GenAI systems and prevents surprise failure modes in production All the automation initiatives that PromptQL makes possible ----- PromptQL is the AI platform that delivers human-level reliability for natural language-based analysis and automation on your data & systems. Check out our features: https://promptql.io LinkedIn linkedin.com/company/promptql-io Forum forum.promptql.io Twitter x.com/promptQL -----