Average Ratings 0 Ratings
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
No
API Access
Has API
Yes
Integrations
Microsoft 365
No
Microsoft Excel
No
Microsoft Outlook
No
Microsoft PowerPoint
No
Microsoft Word
No
SAS Visual Statistics
No
SAS Viya
No
Integrations
Microsoft 365
Yes
Microsoft Excel
Yes
Microsoft Outlook
Yes
Microsoft PowerPoint
Yes
Microsoft Word
Yes
SAS Visual Statistics
Yes
SAS Viya
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
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
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No