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What is Kepler?

Leverage Kepler's Automated Data Science Workflows to eliminate the need for coding and previous machine learning experience, facilitating a rapid onboarding process that delivers insights customized to your organization's specific data requirements. Enjoy the advantages of continuous updates and new workflows crafted by our dedicated AI and ML team via our SaaS platform, which helps to enhance AI capabilities and accelerates the achievement of value while aligning with your existing team and expertise. Address complex business challenges with advanced AI and machine learning functionalities, all without the necessity for any technical ML knowledge. Experience the benefits of advanced, all-encompassing automation, a diverse array of AI algorithms, and fast-tracked deployment of machine learning models in your operations. Organizations are increasingly adopting Kepler to refine and automate crucial business processes, which leads to improved productivity and agility while nurturing a culture of ongoing enhancement and innovative thinking. By utilizing Kepler's robust solutions, businesses can maintain their competitive edge and swiftly adapt to the dynamic demands of the market, ensuring they stay ahead in a rapidly evolving landscape. Furthermore, this approach fosters a collaborative environment where teams can focus on strategic initiatives rather than getting bogged down by technical complexities.

What is HPE Ezmeral ML OPS?

HPE Ezmeral ML Ops presents a comprehensive set of integrated tools aimed at simplifying machine learning workflows throughout each phase of the ML lifecycle, from initial experimentation to full-scale production, thus promoting swift and flexible operations similar to those seen in DevOps practices. Users can easily create environments tailored to their preferred data science tools, which enables exploration of various enterprise data sources while concurrently experimenting with multiple machine learning and deep learning frameworks to determine the optimal model for their unique business needs. The platform offers self-service, on-demand environments specifically designed for both development and production activities, ensuring flexibility and efficiency. Furthermore, it incorporates high-performance training environments that distinctly separate compute resources from storage, allowing secure access to shared enterprise data, whether located on-premises or in the cloud. In addition, HPE Ezmeral ML Ops facilitates source control through seamless integration with widely used tools like GitHub, which simplifies version management. Users can maintain multiple model versions, each accompanied by metadata, within a model registry, thereby streamlining the organization and retrieval of machine learning assets. This holistic strategy not only improves workflow management but also fosters enhanced collaboration among teams, ultimately driving innovation and efficiency. As a result, organizations can respond more dynamically to shifting market demands and technological advancements.

Media

Media

Integrations Supported

Amazon S3
HPE Ezmeral
Microsoft Azure
MySQL
PostgreSQL
SQL Server

Integrations Supported

Amazon S3
HPE Ezmeral
Microsoft Azure
MySQL
PostgreSQL
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Stradigi AI

Date Founded

2017

Company Location

Canada

Company Website

www.stradigi.ai/why-kepler/

Company Facts

Organization Name

Hewlett Packard Enterprise

Date Founded

2015

Company Location

United States

Company Website

www.hpe.com/us/en/solutions/ezmeral-machine-learning-operations.html

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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