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What is IBM Cloud Automation Manager?

IBM® Cloud Automation Manager serves as a dynamic, self-service management tool tailored for multi-cloud ecosystems, functioning on IBM Cloud Private and empowering both developers and administrators to meet the demands of their organizations. This solution facilitates efficient management and service delivery through extensive automation, enabling developers to build applications that comply with corporate standards. By harnessing the capabilities of IBM Watson®, users can enhance their operational environment in mere moments. The platform offers the essential adaptability needed for hybrid IT configurations, boosts productivity through self-service options, and guarantees governance with strong, enforceable policies along with valuable insights to uphold a secure and compliant IT landscape. Additionally, developers benefit from easy self-service access and the capacity to automate the complete application lifecycle using prebuilt automation packs, which ultimately cultivates a more agile and responsive development atmosphere. With these robust features, organizations can simplify their operations while also safeguarding the security and compliance of their IT practices. Furthermore, this comprehensive solution allows for continuous improvement in efficiency, ensuring that businesses can rapidly adapt to changing market demands.

What is Domino Enterprise AI Platform?

Domino is a powerful enterprise AI platform built to help organizations develop, deploy, and manage AI systems at scale while delivering measurable business value. It provides a unified environment that supports the entire AI lifecycle, from data exploration and experimentation to deployment and monitoring. The platform enables self-service data science by giving users secure access to datasets, development tools, and scalable compute resources such as CPUs and GPUs. Domino supports a wide range of AI applications, including machine learning models, generative AI solutions, and agent-based systems. Its orchestration capabilities allow organizations to run workloads across hybrid, multi-cloud, and on-premises environments with flexibility and efficiency. The platform includes robust governance features, such as model registries, audit trails, and automated policy enforcement, ensuring transparency and compliance. It also tracks experiments and model lineage, providing a complete system of record for AI development. Domino enhances collaboration by enabling teams to share insights, tools, and workflows across the enterprise. Cost optimization tools help manage infrastructure spending through autoscaling and resource monitoring. The platform integrates seamlessly with existing enterprise systems and supports industry-standard tools and frameworks. With strong security certifications and compliance support, it meets the needs of regulated industries. Overall, Domino enables organizations to industrialize AI, reduce risk, and accelerate innovation while maintaining full control over their AI operations.

Media

Media

Integrations Supported

IBM Cloud

Integrations Supported

Amazon EC2 Trn2 Instances
Anaconda
Apache Zeppelin
Bitbucket
Dask
Flask
GitLab
H2O.ai
Jira
MATLAB
NVIDIA EGX Platform
NVIDIA HPC SDK
NVIDIA NGC
NVIDIA RAPIDS
Okera
PyCharm
PyTorch
SPARK
python-sql

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Per user/per year
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/us-en/marketplace/cognitive-automation

Company Facts

Organization Name

Domino Data Lab

Date Founded

2013

Company Location

United States

Company Website

www.dominodatalab.com

Categories and Features

Cloud Compliance

Not specified

Cloud Management

Not specified

Categories and Features

Agentic AI

Not specified

AI Cost Management

Not specified

AI Data Analytics

Not specified

AI Development

Not specified

AI Governance

Not specified

AI Infrastructure

Not specified

Data Management

Not specified

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Deep Learning

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Predictive Modeling
Statistical / Mathematical Tools

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