Blog Tags: Graph Databases
Implementing Context Graphs: A 5-Point Framework for Transformative Business Insights
This comprehensive guide outlines three phases: establishing a Knowledge Graph, developing a Connected Context Graph, and integrating AI for auto-answers. Learn how this framework enables businesses to connect data points, discover patterns, and optimize processes. The article also presents a detailed roadmap for graph implementation and discusses the integration of Large Language Models with Knowledge Graphs.
Read More
Connected Context: Introducing Product Knowledge Graphs for Smarter Business Decisions
Explore how Product Knowledge Graphs, powered by Neo4j, are reshaping data analytics and decision-making in complex business environments. This article introduces the concept of Connected Context and illustrates how businesses can harness graph technology to gain deeper insights, improve predictive analytics, and drive smarter strategies across various functions.
Read More
Harnessing own Retail’s Ring of Power with GCP
Since most retail organizations already have a recommender engine of some sort, why aren’t all of them able to harness it effectively to derive powerful customer insights? Read how we built a 360-degree Customer View in GCP to solve this issue for our client.
Read More
