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Description
GraphAware presents Hume, an innovative platform for data analytics and intelligence analysis that leverages graph technology to convert isolated structured and unstructured data into a cohesive web, enhancing insight and decision-making capabilities. Central to Hume's functionality are the principles of knowledge graphs and graph databases, which allow for the seamless ingestion, unification, and representation of data as interconnected networks of nodes and relationships, empowering analysts and data scientists to explore, query, and visualize complex connections and concealed patterns without the necessity of mastering intricate query languages. This platform provides a unified perspective of truth across various data sources, speeds up the identification of subtle relationships and behavioral patterns, and facilitates advanced graph data science techniques such as node influence analysis, link prediction, community detection, and automated alerting, all bolstered by integrated machine learning and features from large language models (LLMs). By streamlining the access and analysis of diverse data sets, Hume not only enhances the efficiency of data exploration but also opens up new avenues for strategic decision-making.
Description
A worldwide device knowledge graph delivers organized and comprehensive insights regarding electronic devices, their functionalities, and the services they provide, along with the interconnections among them. Each device found in a household possesses an array of properties, including its brand, model, series number, manufacturer, present features and services, both physical and software attributes, compatible devices, regional data, and much more. This vast assortment of information about nearly every audiovisual device globally is housed within QuickSet’s device knowledge graph. QuickSet utilizes this knowledge graph to offer an extensive suite of functionalities for any given device. In addition to basic control, this knowledge graph infuses essential context into all user commands and actions, facilitating the dynamic identification of nearby devices. The algorithms employed by QuickSet depend on the knowledge graph that encompasses devices with diverse control capabilities, communication interfaces, and protocols, ensuring seamless interaction among devices. Ultimately, this interconnected system enhances user experience by making device management more intuitive and efficient.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GraphAware
Founded
2013
Country
United Kingdom
Website
graphaware.com
Vendor Details
Company Name
QuickSet Cloud
Country
United States
Website
quicksetcloud.com/device-knowledge-graph/
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics