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Average Ratings 0 Ratings
Description
Harnessing the potential of fully homomorphic encryption is transformative for financial institutions. Envision a scenario where insights can be gleaned from data and sophisticated analytics can be conducted without the fears of data breaches or compliance issues. Utilizing Nitromia’s advanced fully homomorphic cryptography, businesses can engage in complex data science and computations with minimal risk, ensuring that their data remains protected whether at rest or during transmission. The Platform. Leveraging state-of-the-art fully homomorphic technology, Nitromia’s enablement platform allows data scientists to conduct artificial intelligence and machine learning analyses directly on encrypted datasets. Through Nitromia, organizations can derive business insights and analyze sensitive information while keeping it completely secure and concealed. Founded on the principles of security, privacy, and compliance, this groundbreaking platform facilitates intricate calculations and predictive analytics in real-time. In a landscape where data security is paramount, Nitromia provides financial institutions the opportunity to leverage their data fully without any associated risks. This innovation not only enhances operational efficiency but also builds trust with clients by prioritizing data protection.
Description
Utilize a robust suite of SAS technologies to access, manipulate, analyze, and present information through visual formats. By leveraging SAS Visual Machine Learning, organizations can enhance their analytical capabilities with integrated machine learning and deep learning features, which facilitate improved visualization and reporting practices. This approach allows users to visualize and uncover pertinent relationships within their data. Additionally, the platform supports the creation and sharing of interactive reports and dashboards, alongside enabling self-service analytics to swiftly evaluate potential outcomes, fostering smarter, data-driven decisions. Users can delve into their data and construct or modify predictive analytical models while operating within the SAS® Viya® environment. Collaborative efforts among data scientists, statisticians, and analysts enable iterative model refinement tailored to specific segments or groups, ensuring decisions are informed by precise insights. Moreover, this comprehensive visual interface simplifies the resolution of intricate analytical challenges, efficiently managing every aspect of the analytics lifecycle while promoting a more collaborative environment for all stakeholders involved.
API Access
Has API
API Access
Has API
Integrations
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
SAS Visual Statistics
SAS Viya
Integrations
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
SAS Visual Statistics
SAS Viya
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
Nitromia
Country
Israel
Website
nitromia.com
Vendor Details
Company Name
SAS
Country
United States
Website
support.sas.com/en/software/visual-machine-learning.html
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization