article thumbnail

4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

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.

article thumbnail

How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search 

Ontotext

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 Knowledge Discovery with Semantic Similarity Search appeared first on Ontotext. Then it returns the top 10 most similar Q&A pairs from the database.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

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.

article thumbnail

Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Graphs boost knowledge discovery 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?”

article thumbnail

Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

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.