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Description
Outlier.ai is an advanced automated business analytics platform powered by AI that enables organizations to swiftly uncover significant patterns, anomalies, and noteworthy changes in their business data, allowing teams to make quicker, data-informed decisions without the need for extensive manual analysis or deep expertise in data science. By seamlessly integrating with various data sources, including analytics systems, sales platforms, and operational databases in a matter of minutes, it continuously tracks time series data, identifies hidden trends and outliers, and brings attention to shifts that might indicate potential opportunities or risks. The platform presents its findings in easily understandable formats, clarifying what has changed and why it is important. Utilizing sophisticated machine learning and AI models, it navigates through intricate datasets to reveal unexpected relationships while providing contextual insights through automated alerts and narrative explanations. This empowers users to grasp the key factors influencing performance changes and respond promptly to emerging insights. In essence, Outlier.ai transforms complex data into actionable intelligence, significantly enhancing decision-making efficiency for organizations.
Description
By leveraging visual analytics through TIBCO Spotfire®, PerkinElmer Signals Translational offers a comprehensive suite of tools designed to harmonize, manage, search, aggregate, and analyze extensive datasets consistently for translational research, all while ensuring scalability. This platform, driven by TIBCO Spotfire®, supports precision medicine initiatives by providing an unparalleled solution for biomarker discovery and patient stratification. The Linear Mixed Effect App (LME) within Signals Translational empowers researchers to evaluate the influence of various factors on specific phenotypes, allowing for adjustments related to random variables during analysis. Furthermore, it enables the identification of genes significantly affecting cancer stage progression, irrespective of patient origins. Notably, the LME models excel at addressing issues such as missing values and outliers, making them a robust choice for discovering potential biomarkers. Consequently, the integration of these advanced analytics tools enhances the efficacy of translational research in identifying key biomarkers that can lead to more personalized treatment approaches.
API Access
Has API
API Access
Has API
Integrations
Signals Research Suite
Pricing Details
Free
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
Outlier
Country
United States
Website
outlier.ai/
Vendor Details
Company Name
PerkinElmer
Founded
1937
Country
United States
Website
perkinelmerinformatics.com/products/clinical-translational/signals-translational/