Intelligence should make sense across the general, the specific and the in-between. Instead, we've got general rule-based thinking in one set of silos, and narrow probabilistic thinking in another.
A knowledge graph foundation for analytics and collaboration provides the means for solving two problems:
1) How to eliminate siloing, and
2) How to ensure quality, contextualized data at scale.
With the knowledge graph approach, we're not just looking for your keys under the lamppost because that's where the light is. Instead, the light is in more places. In other words, there's less observational bias and more explicit context.
The result is a shared advanced analytics environment we can have confidence in.
This talk will discuss practical examples of knowledge graph foundations and how they're used today in analytics for ecommerce, healthcare, and scientific research. It will also lay out a roadmap to artificial general intelligence through more math, more data storytelling, and more actionable insight in the graph.
Alan Morrison is an independent consultant and freelance writer on data tech and enterprise transformation. He is a contributor to Data Science Central with over 35 years of experience as an analyst, researcher, writer, editor and technology trends forecaster, including 20 years in emerging tech R&D at PwC.