AI demos often look clean, fast, and reliable. But things change once those systems move into production. <br /><br />In this clip from Tuesdays with Trailblazers, Vishnu Gatla from F5 explains why AI behaves differently in real-world environments compared to controlled demos. <br /><br />When AI systems hit production, they face real traffic, edge cases, infrastructure constraints, and unpredictable workloads — all of which introduce new challenges that aren’t visible during testing. <br /><br />💡 The key insight: <br />Building AI is one thing. Running it reliably in production is a completely different problem. <br /><br />👉 Watch the full episode of Tuesdays with Trailblazers for more insights on AI, infrastructure, and enterprise systems <br /><br />https://youtu.be/2c3FlEkx7-E?si=cl1MFSk2D-TmH8Il <br /><br /><br />#AI #ArtificialIntelligence #EnterpriseAI #AIEngineering #TechInfrastructure #CloudComputing #TechLeadership #TuesdaysWithTrailblazers #EdgeClips
