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Earn a Michigan Engineering AI Certificate — Stay Ahead of the AI Revolution
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Learn how to build successful in-house GenAI solutions that drive real business revenue in this 11-minute lightning talk. Discover a pragmatic approach that skips the hype of multi-agent pipelines and complex evaluation suites, focusing instead on proven strategies that deliver measurable business impact. Explore five key principles for in-house AI success: going deep on one specific job-to-be-done rather than spreading efforts thin, tracing every user interaction directly to revenue outcomes instead of relying on offline evaluations, implementing proactive zero-click notifications through Slack and email rather than waiting for users to engage with chat interfaces, converting time savings into productive next actions by guiding users beyond just providing answers, and prioritizing data integrations and user experience improvements over expensive model upgrades. Gain insights from a small team's experience turning an internal GenAI assistant into a revenue-generating tool, with practical advice on building cost-effective AI solutions that outperform expensive SaaS alternatives through strategic focus and smart implementation choices.
Syllabus
Stop Ordering AI Takeout A Cookbook for Winning When You Build In House - Jan Siml
Taught by
AI Engineer