How can you make AI work for you?
?? Start with the Right Data Foundation
AI systems are only as good as the data they rely on. In the chemical industry, turning the unstructured data buried in PDFs, legacy systems and spreadsheets into a strong data foundation is critical to unlocking the power of AI.
?? Structured Data is Key
Generative AI thrives on clean, structured data to reduce inaccuracies and "hallucinations" (AI-generated incorrect outputs). Structured data is organized according to a strict taxonomy or schema; databases are great examples of this. Examples of unstructured data are text in documents, images or video. Structured data ensures precision, traceability and relevance, making AI outputs more reliable.
Highly structured data reduces inaccuracies, ensures traceability and provides relevance. For instance, generative AI models can significantly minimize "hallucinations" when they are fed precise, categorized information. Examples include structured customer feedback enabling detailed product recommendations or curated compliance data ensuring adherence to regulatory standards.
?? Leverage Tools for Data Management
Implement a Master Data Management (MDM) platform specific to the chemical and ingredients industries to centralize, harmonize and enrich product data. Once the clean data layer is in place, your company can unlock scalable and innovative generative AI applications tailored to your evolving needs.
For a more in depth look into how chemical and ingredient companies can successfully implement AI, head to the full blog post linked in the comments.?
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