Implementing AI is an opportunity for chemical and ingredient companies to empower field sales teams, streamline operations, enhance product development and optimize supply chains. However, to unlock AI’s potential, businesses must navigate unique challenges like data complexity, regulatory requirements and specialized workflows.
Here’s how chemical and ingredient companies can successfully implement AI and make it work for them.
Start with the Right Data Foundation
AI systems are only as good as the data they rely on.
Structured Data is Key
Generative AI thrives on clean, structured data to reduce telegram number list inaccuracies and “hallucinations” (AI-generated incorrect outputs). Structured data is data that is organized according to a strict taxonomy or schema. Databases are great examples of structured data. 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 to centralize, harmonize and enrich product data. Tools like Knowde AI ingest, cleanse and enrich data using a taxonomy developed by a team of chemical engineers, PhD chemists and information scientists.
Once the clean data layer is in place, companies can unlock scalable and cloud governance must be robust innovative generative AI applications tailored to their evolving needs.
Communicate Benefits Clearly
Demonstrate how AI can reduce tedious tasks, improve accuracy usa lists and enable employees to focus on high-value activities. Communicate with short, specific messages to help employees retain the information. Share at least seven times in different communication formats (email, Slack/Teams announcements, intranet notices, staff meetings, manager 1:1s, etc) to ensure the message has a chance to sink in.