Knowledge graphs are often referred to in technology articles, but does everyone understand what they are and how they can be used? This interesting topic came to us from Pool Party in their blog post, “Knowledge Graphs and AI in the Pharmaceutical and Healthcare Industry (Part 1).”
First of all, knowledge graph is a knowledge base. It is used by Google to enhance its search engine’s results with information gathered from a variety of sources.
For knowledge intensive organizations, primarily healthcare and life sciences, innovation is data-driven. But there are challenges.
Creating sustainable knowledge management and knowledge engineering practices, processes, governance, and tools is important to connect the key points. However, in a maze-like enterprise, this is beyond normal problem solving capabilities.
Artificial intelligence (AI) has been tagged to help power knowledge graphs to new heights. But there is a fine balance in engaging patients to self-monitor and provide feedback, while collecting the data needed for innovation.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
