How to Build AI Workflows You Can Trust | Infactory’s Brooke Hartley Moy

Is your company rushing headlong into AI, only to find it's a 'square peg in a round hole'?This week, Andrew tackles the critical issue of building trust in AI systems with Brooke Hartley Moy, CEO and co-founder of Infactory.Brooke, with her experience at companies like Google and Samsung, cuts through the hype and reveals the biggest misconceptions businesses have about AI. We dive into the 'black box' problem, the importance of high-quality data, and why not all AI is created equal.From seating Matthew McConaughey in the rain to high-stakes medical decisions, we explore the crucial role of domain expertise and the need to move beyond LLM-centric thinking. If you're an engineering leader grappling with AI implementation, this episode is your essential guide to building trustworthy and impactful AI systems.Check out:The Future of Productivity Is AI-DrivenFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):infactory.aiBrooke Hartley MoyReferenced in today's show:OpenAI declares AI race “over” if training on copyrighted works isn’t fair useExploring Generative AI - Birgitta BöckelerAI is "tearing apart" companies, survey findsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

There are no comments yet.

Please log in to write the first comment.