Knowledge Graphs Power Business Transformation

Summary

According to the world’s leading analyst and research firm IDC’s Global DataSphere, 65 percent of the global gross domestic product (GDP) will be digitalized, driving over $6.8 trillion in spending from 2022 to 2023.

A higher proportion of GDP will be contributed by digital products and services. Increasingly, companies will face new challenges in the digital-first economy, and they will be required to scale solutions with greater agility.

Knowledge graphs can be used for catching anomalies, discovering patterns, and laying a solid foundation for intelligent solutions such as recommender systems and digital twins. All companies can find relevant use cases.

This InfoBrief covers:

• What knowledge graphs are and how they are used
• Building knowledge graphs
• Fraud detection and risk profiling in banking, insurance, retail, and ecommerce
• Biomarker discovery for life science and pharmaceuticals
• Recommender systems for ecommerce, retail, banking, and professional services
• Knowledge graph-based analytics for ML and AI
• Essential guidance on scaling knowledge graphs for the digital-first economy
• How Neo4j knowledge graphs make sense of complex data for intelligent decision-making

Download your free copy of Knowledge Graphs Power Business Transformation to learn more about the exploding world of connected data.