Data-Driven Manufacturing Optimization with AI: Zhitao Gao - CEO and Co-Founder of eXlens.ai

Many factories today grapple with recurring production issues and inefficiencies; whether it’s inconsistent quality, unpredictable downtime, or process bottlenecks. The cost of inefficiencies keeps mounting, and while human intuition and manual checks have been valuable tools, they’re no longer enough to drive significant breakthroughs. AI offers an opportunity to uncover hidden patterns that human teams might miss. For instance: - By analyzing machine sensor data, AI can trace yield drops to subtle temperature fluctuations. - AI can identify bad material batches from suppliers or reveal operational bottlenecks. - Instead of vague reports, AI delivers precise, actionable insights, helping teams shift from guesswork to targeted, data-driven solutions. To learn more about how Manufacturers can achieve operational excellence through data-driven manufacturing optimisation with AI, I had a conversation with Zhitao(Steven) Gao who is the CEO and Co-Founder of eXlens.ai.