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What is WEKA?

WEKA is a cutting-edge data platform designed to handle large-scale AI and HPC workloads across multiple environments, including cloud, on-premise, and hybrid clouds. Its ability to scale storage and compute independently allows users to manage millions or even billions of files without performance degradation. With integration capabilities for AI/ML workflows and accelerated data processing, WEKA is ideal for businesses and research labs needing fast, secure, and efficient access to data. The platform also focuses on sustainability by optimizing energy usage, making it a top choice for organizations looking to reduce their environmental footprint while maintaining high performance.

What is IntelliHub?

We work in close partnership with companies to pinpoint the common obstacles that prevent organizations from reaching their goals. Our innovative designs strive to unveil opportunities that conventional techniques have made unfeasible. Both large enterprises and smaller firms require an AI platform that grants them complete control and empowerment. Addressing data privacy is essential while delivering AI solutions in a manner that is budget-friendly. By enhancing operational efficiency, we focus on augmenting human labor instead of replacing it entirely. Our AI implementation facilitates the automation of monotonous or dangerous tasks, reducing the necessity for human involvement and speeding up processes infused with creativity and empathy. Machine Learning endows applications with advanced predictive capabilities, allowing for the development of classification and regression models. Moreover, it provides tools for clustering and visualizing various groupings. Supporting a wide array of ML libraries, including Weka, Scikit-Learn, H2O, and TensorFlow, it features around 22 unique algorithms designed for crafting classification, regression, and clustering models. This adaptability not only empowers organizations but also ensures their ability to flourish amidst the swiftly changing technological landscape, fostering a culture of innovation and resilience.

Media

Media

Integrations Supported

AMI Data Center Manager
Amazon Web Services (AWS)
Azure Marketplace
Cisco CX Cloud
Cloudian
DataStax
Dell EMC PowerFlex
HP-UX
Hitachi Content Platform
IBM Cloud
IREN Cloud
Lambda Suite
Lenovo ThinkAgile HX Series
Rancher
Scality
Starfish
Valohai
Wasabi

Integrations Supported

AMI Data Center Manager
Amazon Web Services (AWS)
Azure Marketplace
Cisco CX Cloud
Cloudian
DataStax
Dell EMC PowerFlex
HP-UX
Hitachi Content Platform
IBM Cloud
IREN Cloud
Lambda Suite
Lenovo ThinkAgile HX Series
Rancher
Scality
Starfish
Valohai
Wasabi

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

WEKA

Date Founded

2013

Company Location

United States

Company Website

www.weka.io

Company Facts

Organization Name

Spotflock

Date Founded

2017

Company Location

India

Company Website

intellihub.ai/

Categories and Features

Machine Learning

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

Workload Automation

Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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