Remove Data Quality Remove Experimentation Remove Statistics Remove Structured Data
article thumbnail

Why You’re Not Ready for Knowledge Graphs!

Ontotext

As a statistical model, LLM inherently is random. Semantic knowledge graphs combined with LLM allow you to bridge the gap – querying your well-curated and conformed data with natural language. Data quality Knowledge graphs thrive on clean, well-structured data, and they rely on accurate relationships and meaningful connections.

article thumbnail

AI Adoption in the Enterprise 2021

O'Reilly on Data

The biggest problems in this year’s survey are lack of skilled people and difficulty in hiring (19%) and data quality (18%). The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%). Bad data yields bad results at scale. form data).