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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
MANTICA Adaptive Intelligence serves as a cutting-edge Machine Learning and Big Data platform designed to reveal predictive insights in the Fintech sector. This exclusive enterprise solution, crafted by MANTICA, leverages advanced Machine Learning and Big Data Analytics for diverse applications across multiple industries. With MANTICA Adaptive Intelligence, users of varying expertise levels can swiftly generate valuable Advanced Analytics insights, facilitating the creation of operational systems that respond in real-time. The platform empowers users by offering tools for Intelligent Data Mining, allowing anyone to construct predictive models that can seamlessly integrate into their business applications. In the realm of Big Data versus Small Data, MANTICA excels at identifying optimal Small Data elements within large datasets, enabling the extraction of concealed rules, relationships, and behavioral similarities, which significantly shortens processing times. The foundation of MANTICA Adaptive Intelligence lies in Artificial Neural Networks (ANNs), which enhance its capability to analyze and interpret complex data patterns effectively. This innovative platform not only streamlines data analysis but also paves the way for businesses to make more informed decisions faster than ever before.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
GraphAware
Founded
2013
Country
United Kingdom
Website
graphaware.com
Vendor Details
Company Name
TAS Group
Country
Switzerland
Website
www.tasgroup.eu/
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
