Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
LiveRamp’s platform enables privacy-focused and customizable collaboration within your organization and with external partners, facilitating audience building, data activation, and gaining actionable insights. As cookies phase out, establishing a new marketing foundation for the coming decade becomes essential. Safe Haven not only safeguards your investment in audience data but also fosters significant collaborative opportunities, enabling a more precise and evolving understanding of your customers in a secure manner. By maximizing your marketing data's worth, Safe Haven empowers you with over 600 seamless integrations, allowing connections with top-tier services to enhance audience insights, obtain novel measurement reports, or initiate partnerships for developing innovative predictive models or micro-segments. Shift the conversation from mere impressions and clicks to metrics that resonate with the entire C-suite, such as incrementality, closed-loop measurement, journey analytics, and revenue impact, ensuring your marketing efforts are both relevant and effective. In doing so, you can transform how your organization approaches data-driven marketing strategies and foster a culture of informed decision-making.
Description
MLReef allows domain specialists and data scientists to collaborate securely through a blend of coding and no-coding methods. This results in a remarkable 75% boost in productivity, as teams can distribute workloads more effectively. Consequently, organizations are able to expedite the completion of numerous machine learning projects. By facilitating collaboration on a unified platform, MLReef eliminates all unnecessary back-and-forth communication. The system operates on your premises, ensuring complete reproducibility and continuity of work, allowing for easy rebuilding whenever needed. It also integrates with established git repositories, enabling the creation of AI modules that are not only explorative but also versioned and interoperable. The AI modules developed by your team can be transformed into user-friendly drag-and-drop components that are customizable and easily managed within your organization. Moreover, handling data often necessitates specialized expertise that a single data scientist might not possess, making MLReef an invaluable asset by empowering field experts to take on data processing tasks, which simplifies complexities and enhances overall workflow efficiency. This collaborative environment ensures that all team members can contribute to the process effectively, further amplifying the benefits of shared knowledge and skill sets.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Docker
No
Google Cloud Platform
Yes
Keras
No
LiveRamp
Yes
LiveRamp Clean Room
Yes
MXNet
No
PyTorch
No
Snowflake
Yes
TensorFlow
No
Integrations
Amazon Web Services (AWS)
No
Docker
Yes
Google Cloud Platform
No
Keras
Yes
LiveRamp
No
LiveRamp Clean Room
No
MXNet
Yes
PyTorch
Yes
Snowflake
No
TensorFlow
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
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
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
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
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
LiveRamp
Founded
2011
Country
United States
Website
liveramp.uk/data-collaboration/
Vendor Details
Company Name
MLReef
Country
United States
Website
www.mlreef.com
Product Features
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