Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
By equipping publishers with both monetization opportunities and enhanced control, we foster innovation through a combination of open-source and enterprise tools. Access powerful A/B testing tools designed to refine your wrapper configuration, ultimately boosting incremental revenue. OpenWrap seamlessly integrates with Identity Hub, PubMatic’s premier ID management solution, enabling publishers to quickly engage their top ID partners with minimal effort. This approach enhances workflow efficiency while simultaneously lowering ongoing technical development, legal compliance, and operational expenses. Wrapper solutions represent a significant advancement in the header bidding landscape. Our latest guide thoroughly examines the advantages and disadvantages of various wrapper implementations—be it client-side, server-side, or hybrid—while also addressing recent shifts in header bidding, including the rise of OTT bidding. Additionally, we delve into the value of incorporating identity resolution products like PubMatic Identity Hub, all within the context of an enterprise-grade header bidding solution built on Prebid technology. With these insights, publishers can make well-informed decisions to optimize their monetization strategies.
Description
Easily implement machine learning models on a large scale while enhancing their accuracy. Transform research and development into return on investment by accelerating the deployment of numerous models effectively and reliably. Seldon speeds up the time-to-value, enabling models to become operational more quickly. With Seldon, you can expand your capabilities with certainty, mitigating risks through clear and interpretable results that showcase model performance. The Seldon Deploy platform streamlines the journey to production by offering high-quality inference servers tailored for well-known machine learning frameworks or custom language options tailored to your specific needs. Moreover, Seldon Core Enterprise delivers access to leading-edge, globally recognized open-source MLOps solutions, complete with the assurance of enterprise-level support. This offering is ideal for organizations that need to ensure coverage for multiple ML models deployed and accommodate unlimited users while also providing extra guarantees for models in both staging and production environments, ensuring a robust support system for their machine learning deployments. Additionally, Seldon Core Enterprise fosters trust in the deployment of ML models and protects them against potential challenges.
API Access
Has API
No
API Access
Has API
No
Integrations
Apolo
No
Comet
No
Determined AI
No
Feast
No
Tecton
No
ZenML
No
Integrations
Apolo
Yes
Comet
Yes
Determined AI
Yes
Feast
Yes
Tecton
Yes
ZenML
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
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
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
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
PubMatic
Country
United States
Website
pubmatic.com/products/openwrap/
Vendor Details
Company Name
Seldon Technologies
Founded
2014
Country
United Kingdom
Website
www.seldon.io
Product Features
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
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