Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Your deal-closing process can be cut in half by leveraging the Ensemble+ framework and BattleFin’s marketing and promotional tools. Our system will help your team tackle repetitive, time-consuming paperwork such as NDA's or testing agreements. The built-in python 3 data toolbox allows you to load historical data, and provides pre-built data exploration tools for interested buyers. This allows you to focus on making your data a viable financial product. Your data will be seen by Ensemble+ and BattleFin, which will help you get your data noticed by some of the most prominent players in the alternative data space for finance. We have a steady stream of people looking for data because of our deep roots and premier partners Jefferies, AWS and Refinitiv. Join Ensemble today to begin the process of marketing your data and selling it on the Ensemble platform. You can create exploration kits using our Python 3 data sandbox to highlight key elements of your data to buyers.
Description
KServe is a robust model inference platform on Kubernetes that emphasizes high scalability and adherence to standards, making it ideal for trusted AI applications. This platform is tailored for scenarios requiring significant scalability and delivers a consistent and efficient inference protocol compatible with various machine learning frameworks. It supports contemporary serverless inference workloads, equipped with autoscaling features that can even scale to zero when utilizing GPU resources. Through the innovative ModelMesh architecture, KServe ensures exceptional scalability, optimized density packing, and smart routing capabilities. Moreover, it offers straightforward and modular deployment options for machine learning in production, encompassing prediction, pre/post-processing, monitoring, and explainability. Advanced deployment strategies, including canary rollouts, experimentation, ensembles, and transformers, can also be implemented. ModelMesh plays a crucial role by dynamically managing the loading and unloading of AI models in memory, achieving a balance between user responsiveness and the computational demands placed on resources. This flexibility allows organizations to adapt their ML serving strategies to meet changing needs efficiently.
API Access
Has API
API Access
Has API
Integrations
1010data
Amazon Web Services (AWS)
Bloomberg
Docker
Foursquare
Gojek
IBM Cloud
Kubeflow
Kubernetes
LSEG Due Diligence Centre
Integrations
1010data
Amazon Web Services (AWS)
Bloomberg
Docker
Foursquare
Gojek
IBM Cloud
Kubeflow
Kubernetes
LSEG Due Diligence Centre
Pricing Details
$2,750 per month
Free Trial
Free Version
Pricing Details
Free
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
BattleFin
Founded
2012
Country
United States
Website
www.battlefin.com/provider/ensemble
Vendor Details
Company Name
KServe
Website
kserve.github.io/website/latest/
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization