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Ratings and Reviews 0 Ratings
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QlooQloo, known as the "Cultural AI," excels in interpreting and predicting global consumer preferences. This privacy-centric API offers insights into worldwide consumer trends, boasting a catalog of hundreds of millions of cultural entities. By leveraging a profound understanding of consumer behavior, our API delivers personalized insights and contextualized recommendations. We tap into a diverse dataset encompassing over 575 million individuals, locations, and objects. Our innovative technology enables users to look beyond mere trends, uncovering the intricate connections that shape individual tastes in their cultural environments. The extensive library includes a wide array of entities, such as brands, music, film, fashion, and notable figures. Results are generated in mere milliseconds and can be adjusted based on factors like regional influences and current popularity. This service is ideal for companies aiming to elevate their customer experience with superior data. Additionally, our premier recommendation API tailors results by analyzing demographics, preferences, cultural entities, geolocation, and relevant metadata to ensure accuracy and relevance.
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What is Salford Predictive Modeler (SPM)?
The Salford Predictive Modeler® (SPM) software suite is renowned for its remarkable speed and accuracy in crafting predictive, descriptive, or analytical models. Featuring engines such as CART®, TreeNet®, and Random Forests®, along with innovative automation capabilities and unique modeling functionalities, SPM stands out in the realm of data analysis tools. This comprehensive suite encompasses a range of data mining technologies, including classification, regression, survival analysis, and methods for handling missing values, as well as data binning and clustering. SPM algorithms are invaluable in sophisticated data science applications, making them a cornerstone for analysts seeking to derive insights from complex datasets. The automation of model construction is significantly streamlined with SPM, facilitating a more efficient exploration and refinement process. Furthermore, the suite allows for the seamless integration of results from various modeling approaches into a single, cohesive package, enhancing the review process for users. This combination of features not only boosts productivity but also empowers data professionals to make informed decisions more effectively.
What is ADAM Apparatus?
ADAM, or Apparatus Deployment Analysis Module, is a sophisticated predictive modeling system that investigates different deployment scenarios by integrating historical CAD data with GIS mapping information, employing a powerful projection algorithm to determine how shifts in deployment influence response times and resource allocation. It carefully analyzes the consequences of changes in deployment to pinpoint the most effective placements for personnel and units. Functioning within ArcMap through Esri add-ins, ADAM adeptly handles GIS layers, storing them in both geodatabase and shapefile formats. The system evaluates current workloads against historical CAD data, while its CAD Analyst feature provides an in-depth assessment of response performance. Findings are conveyed through intuitive graphics, comprehensive reports, and dashboards, which greatly aid in crafting compelling budget proposals for local officials. Furthermore, it allows for the evaluation of various deployment strategies and helps to determine the optimal site for a new station, all while aligning with the specific policies of each department to promote realistic and actionable planning. By merging data analysis with strategic insights on deployment, ADAM significantly enhances the operational efficiency and service delivery of departments, ultimately benefiting the communities they serve. This powerful tool not only streamlines decision-making but also fosters a proactive approach to resource management and emergency response planning.
Integrations Supported
ArcGIS
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Minitab
Date Founded
1972
Company Location
United States
Company Website
www.minitab.com/en-us/products/spm/
Company Facts
Organization Name
DECCAN INTERNATIONAL
Date Founded
1996
Company Location
United States
Company Website
deccanintl.com/what-we-do/adam/
Categories and Features
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Categories and Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis