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Achieving comprehensive insights and improving the management of both software and business applications across any infrastructure is essential for creating a cohesive IT ecosystem. The difficulties of managing hybrid infrastructures, legacy systems, and the complexities of multi-cloud setups can often lead to errors, duplication of effort, and missed opportunities. Limited visibility into these disparate systems complicates the ability to make informed, data-driven choices. Moreover, disconnected systems and siloed data can stifle innovation and impede experimentation. By automating workflows that integrate various infrastructure, software, and application functions, you can optimize operations and potentially reduce costs by as much as 12%. This automation enhances the management of processes and dependencies across diverse infrastructures, applications, and workflows. With Kubeark’s enterprise orchestration platform, organizations can reduce operational risks and eliminate the need for excessive compensatory controls, all while ensuring compliance with the highest security certification standards. Not only does this strategy enhance efficiency, but it also cultivates a more dynamic environment that encourages growth and fosters innovation, making it a crucial investment for future success. Embracing such solutions can ultimately transform how organizations navigate the complexities of modern IT landscapes.
What is Intel Tiber AI Studio?
Intel® Tiber™ AI Studio is a comprehensive machine learning operating system that aims to simplify and integrate the development process for artificial intelligence. This powerful platform supports a wide variety of AI applications and includes a hybrid multi-cloud architecture that accelerates the creation of ML pipelines, as well as model training and deployment. Featuring built-in Kubernetes orchestration and a meta-scheduler, Tiber™ AI Studio offers exceptional adaptability for managing resources in both cloud and on-premises settings. Additionally, its scalable MLOps framework enables data scientists to experiment, collaborate, and automate their machine learning workflows effectively, all while ensuring optimal and economical resource usage. This cutting-edge methodology not only enhances productivity but also cultivates a synergistic environment for teams engaged in AI initiatives. With Tiber™ AI Studio, users can expect to leverage advanced tools that facilitate innovation and streamline their AI project development.
Integrations Supported
Airstack
Amazon Redshift
Apache Kafka
Azure Blob Storage
Caffe
Google Cloud BigQuery
Google Cloud Storage
Kubernetes
LogMeIn Central by GoTo
Microsoft Azure
Integrations Supported
Airstack
Amazon Redshift
Apache Kafka
Azure Blob Storage
Caffe
Google Cloud BigQuery
Google Cloud Storage
Kubernetes
LogMeIn Central by GoTo
Microsoft Azure
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
Kubeark
Date Founded
2022
Company Location
United States
Company Website
kubeark.com
Company Facts
Organization Name
Intel
Date Founded
1968
Company Location
United States
Company Website
cnvrg.io
Categories and Features
IT Management
Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring
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 Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization