Graph data has become ubiquitous in the last decade, because graphs connect relationships based on context as its foremost feature. Add to that an organizing principle like semantics and what you get is a knowledge graph – ie. a graph with more context.
We consistently see that contextual knowledge has emerged as the single most powerful tool most businesses have.
That’s why knowledge graphs underpin the data infrastructure of businesses across so many industries – from consumer-facing systems like retail to highly regulated systems like financial services and life sciences and critical infrastructures like supply chains.
In the book Knowledge Graphs: Data in Context for Responsive Business, we help business leaders understand what knowledge graphs are, how to build and use them for actioning and decisioning, as well as their importance in AI and new innovations like digital twin and data fabric.
With the, ahem, knowledge found in this book, you’ll gain insight into:
- The organizing principles to make data more expressive, allowing for more sophisticated exploitation of the data
- What an actioning knowledge graph is and how it bridges data silos and drives action via data assurance or data insight
- What a decisioning knowledge graph is and how it’s used for graph analytics, machine learning, or data science to improve decisions
- The salient role knowledge graphs play in machine learning for better predictions
- Using knowledge graphs for use cases like impact analysis, root cause analysis, customer 360, feature engineering, and much more
This book is a must read for modern business leaders and data professionals who want to make their existing data work smarter, by capitalizing on existing data for better business decisions that drive value.
With Knowledge Graphs: Data in Context for Responsive Business, you’ll learn how to take the data you already have and, through the deep context derived from a knowledge graph, drive intelligent business decisions.