Resource library
Improving Safety and Reliability in Industrial Operations using Semantic AI
This on-demand webinar will describe how semantic web technology can be used to address operational management challenges.
Data-driven knowledge management with knowledge graphs
In this on-demand webinar, we will go deeper into mixing Search Driven and Enterprise Knowledge Graph initiatives to support Knowledge Management in large Enterprises.
Building recommender systems that work
In this on-demand webinar, we will address possible use cases for recommender systems built on semantic AI, discuss scenarios from different industries (retail, manufacturing, software industry and pharma) and look at how recommender systems serve as building blocks to the broader concept of ‘Enterprise 360’.
What is Enterprise 360?
Baked into a powerful knowledge graph that serves as an umbrella to connect all structured and unstructured data, Enterprise 360 grants you 360-degree views of your business in 4 crucial aspects: Employee 360, Product 360, Market 360, and Customer 360.
Taxonomy Management 101
In our on-demand webinar, Heather Hedden, Data & Knowledge Engineer at the Semantic Web Company, will teach you some of the many benefits of using taxonomies and how you can maintain them for best use.
What is Semantic AI?
Semantic Artificial Intelligence (Semantic AI) is the fusion of Machine Learning and Knowledge Graphs.
What is a Semantic Data Fabric?
Semantic Data Fabric is a new solution to data silos that combines the best-of-breed technologies, data catalogs and knowledge graphs based on Semantic AI
What is Deep Text Analytics?
Deep Text Analytics (DTA) is a method for extracting information from unstructured data. It combines machine learning and NLP techniques with knowledge graphs to enable algorithms to better analyze text by not only processing words, but understanding the underlying concepts and their context.
What is a Knowledge Graph?
A Knowledge Graph is a model of a knowledge domain created by subject-matter experts with the help of intelligent machine learning algorithms.
What is Metadata Management?
Metadata Management is an organization-wide agreement on how to describe information assets. That is what metadata is: a set of data that describes and gives information about other data.
The Ultimate Guide to Taxonomies in Business
Taxonomy Management helps enterprises organize their knowledge and make information easy to find, use and analyze. Learn more!
White paper: Customer 360 – Personalize Customer Experience with 360-degree Views
Read how a customer 360 view enables you to understand and speak the language of your customers, personalize the customer experience with relevant recommendations, quickly answer your customers’ questions and create products and services that meet their needs.
Have a Conversation with your Data using Knowledge Graphs & AI
Learn how you can improve the customer experience and lessen your internal workload with question-answering systems powered by NLP and enterprise knowledge graphs.
White paper: Employee 360 – Create Meaningful Journeys with 360-degree Views
Read how companies, using 360-degree views in Employee 360, can link employee information from disparate data silos to build employee meaningful journeys. With 360-degree knowledge graphs, decision makers can have a cross-system view that helps them make decisions across the entire workforce and enterprise lifecycle.
White paper: Product 360 – Drive Innovation with 360-degree Views
Read how companies, using 360-degree views in Product 360, can consolidate information across the product life cycle to drive innovation. With 360-degree knowledge graphs, you can create end-to-end solutions for customers that can also be optimized from an end-user perspective.