Finding Opportunities for AI Application in Manufacturing : Patrick Byrne - Co-founder & CEO, Annora AI

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Manufacturing leaders are familiar with physical waste; scrap, rework, and inefficiencies in production. But digital waste is the hidden inefficiency thatโ€™s just as costly.ย It includes:๐”๐ง๐ฎ๐ฌ๐ž๐ ๐ƒ๐š๐ญ๐š: Factories generate massive amounts of data, but much of it is never analyzed or leveraged for decision-making.๐ˆ๐ง๐ž๐Ÿ๐Ÿ๐ข๐œ๐ข๐ž๐ง๐ญ ๐ƒ๐š๐ญ๐š ๐‡๐š๐ง๐๐ฅ๐ข๐ง๐ : Engineers waste time manually entering, cleaning, or searching for information that should be automated.๐’๐ข๐ฅ๐จ๐ž๐ ๐ˆ๐ง๐Ÿ๐จ๐ซ๐ฆ๐š๐ญ๐ข๐จ๐ง: Key insights are trapped in different departments or legacy systems, preventing AI-driven optimization.Digital waste silently drains resources, increasing operational costs while blocking AI from delivering its full potential.Once manufacturers recognize digital waste, the next step is identifying where AI can generate the biggest returns. To learn more about finding opportunities for the application of AI in manufacturing, I recently sat down with Patrick Byrne, Co-Founder and CEO of Annora AI.