Summary
Before introducing AI across an organization, leaders need a disciplined approach to separate genuinely valuable tools from the latest hype on social media. This discussion will explore practical frameworks for evaluating AI solutions based on security, privacy, cost, scalability, integration, governance, and measurable business impact. Engineering leadership will gain insights into how to run controlled pilots, establish success metrics, and make confident decisions about which AI tools are ready for organization-wide adoption.
Host
Michael Lu
Chief Technology Officer @ UrgentIQ
Michael Lu is Chief Technology Officer at UrgentIQ, Codepath Software Engineer Mentor, and Computer Science Judge at USM. He has over 12+ years of experience in software engineering and engineering leadership. Focusing primarily on building top-tier engineering teams and bridging the gap between cross functional stakeholders. I am passionate about experimentation and building with AI tools to drive results.
Sign up to receive news and updates on ELC Annual 2026
