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The manufacturing industry is in an unenviable position. Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general. And manufacturers face pressure to constantly innovate while ensuring stability and safety.
As a result, Pharma company analysts save a lot of time and effort and can easily reuse company knowledge. The post How Pharma Companies Can Scale Up Their KnowledgeDiscovery with Semantic Similarity Search appeared first on Ontotext. Then it returns the top 10 most similar Q&A pairs from the database.
Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? Manufacturing and Industry 4.0 For some time, the manufacturing industry has been benefiting significantly from knowledge graph technology. computer manufacturers are relying on knowledge graphs (and GraphDB) in their operations.
Graphs boost knowledgediscovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. We would like to be able to get quick answers to questions like: W hat type of paint did we use to manufacture this engineering part in 1956?”
This is very different than bricks-and-mortar companies where there are many marginal costs, such as sales, manufacturing, transportation. Very low variable costs have two implications for the business model of these online services.
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