What works and what doesn't in AI Adoption
Most AI programs fail—not because of the tech, but because organizations chase scattered use cases without aligning to business mission, outcomes, or scale. In this webinar, Concurrency CTO Nathan Lasnoski reveals a practical AI adoption framework that delivers real business value—starting with executive alignment and ending with production-grade MLOps.
This session breaks down how successful organizations chart a clear adoption path, accelerate co‑innovation, upskill teams, and turn proof‑of‑concepts into resilient, governed AI systems. You’ll learn how to drive revenue, improve customer experience, and increase operational efficiency using AI across information workers and frontline employees.
WHAT YOU’LL LEARN:
• How to define AI success around mission, outcomes, and measurable value
• Why alignment beats “random use cases” every time
• The co‑innovation model: multiple lanes instead of one big bet
• A practical progression: POC → MVP → MLOps
• How to scale adoption using Copilot and role-based Q&A agents
• Why upskilling and mindset shifts remain under‑hyped but essential
📍 Concurrency serves teams across Chicago, Milwaukee, and Minneapolis.
🔗 Learn more at: https://www.concurrency.com/