What types of APIs does this product expose?

The product exposes REST APIs for model management, training, and deployment. Specific endpoints include `/model`, `/training`, and `/deployment`. It supports integration with Python and Java SDKs.

What protocols does it use for communication?

Communication occurs over HTTPS. The system supports standard protocols for data transfer and model deployment.

What are the main system components?

The main system components include the Model Management Service, Training Service, and Deployment Service. These components communicate via REST APIs and message queues.

How does IBM Machine Learning for z/OS provide business value?

IBM Machine Learning for z/OS automates the creation, training, and deployment of operational analytic models. This reduces the time and resources required for machine learning projects.

What are the benefits of using this product with z/OS data?

The product allows machine learning against z/OS-based data, enabling organizations to leverage their existing data assets for AI initiatives.

What authentication methods are supported?

The product supports authentication methods including LDAP, SAML 2.0, and X.509 certificates. It uses Role-Based Access Control (RBAC) to manage user permissions.

What encryption is used and where?

Data is encrypted in transit using TLS/SSL. Data at rest can be encrypted using z/OS encryption facilities.

What audit/logging capabilities exist?

The system provides audit logging capabilities, recording user actions and system events. These logs can be used for security monitoring and compliance.

What administrative interfaces are available?

Administrative interfaces include a command-line interface (CLI) and a web console. User management is handled through the web console or via LDAP integration.

What are the main configuration parameters?

The main configuration parameters are defined in YAML files. These parameters control model training, deployment settings, and system behavior.

What monitoring/logging capabilities exist?

The system provides monitoring and logging capabilities through the web console and system logs. Metrics can be exported to external monitoring tools via APIs.

Share Your Product Experience

Help the community by sharing your experience with mainframe products. Your insights help others make informed decisions.

Share Your Experience

IBM Machine Learning for z/OS

IBM Active z/OS

Application - Other Data Discovery Mining and Processi

Vendor

IBM

Product Overview

The architecture of IBM Machine Learning for z/OS comprises several key components. The Model Management Service provides a central repository for machine learning models. The Training Service handles the execution of model training jobs, leveraging frameworks like Apache SparkML and TensorFlow.

The Deployment Service manages the deployment of models for scoring. These components communicate via REST APIs and message queues. Data is stored in z/OS datasets and can be accessed directly by the training and deployment services.

Configuration is managed through YAML files, which define parameters for model training and deployment. 509 certificates, with RBAC for access control. Network requirements include open ports for REST API communication and data transfer.

ai offer similar functionality, but IBM's solution is unique in its deep integration with the z/OS platform, allowing direct access to mainframe data without the need for data replication.

Frequently Asked Questions

What are the common operations performed with IBM Machine Learning for z/OS?

IBM Machine Learning for z/OS allows users to build, train, and deploy machine learning models. Common operations include data preparation, model selection, training, evaluation, and deployment. Users interact with the system through REST APIs, command-line interfaces, and configuration files.

What configuration files or interfaces are used?

Configuration files, such as YAML files, are used to define parameters for model training and deployment. The system also provides a web-based user interface for managing models and deployments.

What programming languages and machine learning frameworks are supported?

IBM Machine Learning for z/OS supports languages including Scala, Java, and Python. It also supports machine learning frameworks including Apache SparkML, TensorFlow, and H2O.

Related Products

More from IBM

Access 1

Not Supported

z/OS

Alternatives available

Access 1 was a system monitoring tool designed to provide a centralized view of system resources across multiple platforms, including z/OS. It collected data from...

Operating System Application/Application Enviroment

View Details →

ACF/NCP

Not Supported

z/OSz/VMzVSE/VSEn

Alternatives available

ACF/NCP is a mainframe-based network operating system for communication controllers, initially developed in the 1970s. It supports protocols like SDLC, X.25, and SNA, enabling connectivity...

Supporting Services Networks and Communication

View Details →

ACF/SSP

Supported

z/OS

ACF/SSP is a suite of programs designed to support and manage ACF/NCP (Network Control Program) on z/OS systems. Key components include the NCPGEN utility for...

Supporting Services Networks and Communication

View Details →

ACO SolutionPac

Not Supported

z/OS

Alternatives available

ACO SolutionPac was an IBM solution for automating MVS operations on z/OS. It integrated with NetView to manage both system and network tasks. The core...

Operating System Automation

View Details →

Ada/370

Not Supported

z/OSz/VM

Alternatives available

Ada/370 was an IBM compiler for the Ada programming language, targeting z/OS and z/VM mainframe environments. It facilitated the development of robust and reliable applications....

Programming Language

View Details →

ADF II

Supported

z/OS

Alternatives available

ADF II was a mainframe-based 4GL application development system designed to create online applications for IMS and CICS environments. Its primary function was to accelerate...

CASE/Code Generation Application Development

View Details →

Similar Products

Adabas Text Retrieval

Active

by Software AG

z/OSz/VMzVSE/VSEn

Adabas Text Retrieval is a text indexing and search solution designed for ADABAS databases. It enables full-text search capabilities, allowing users to efficiently search and...

ADABAS Data Discovery

View Details →

Application Discovery

Active

by IBM

z/OS

Application Discovery is a static code analysis tool designed to provide insights into application assets and their relationships, especially within z/OS environments. It helps organizations...

Infrastructure and Computing Assets Data Discovery

View Details →

Application Discovery and Delivery Intelligence

Active

by IBM

z/OS

Application Discovery and Delivery Intelligence (ADDI) offers a comprehensive solution for understanding and managing complex applications. It discovers application assets, including programs, copybooks, databases, and...

Infrastructure and Computing Assets Data Discovery

View Details →

APT-AC

Not Supported

by IBM

z/OSz/VM

Alternatives available

APT-AC was a CNC programming language interpreter developed by IBM for z/OS and z/VM environments. It translated part designs into machine-executable code, streamlining manufacturing processes....

Application - Other Programming Language

View Details →

ASG-becubic

Supported

by Rocket Software

z/OS

ASG-becubic is a multiplatform tool designed to discover and map IT resources, including platforms, application environments, database managers, applications, databases, job schedules, and middleware. It...

Infrastructure and Computing Assets Data Discovery

View Details →

ASG-Manager Products

Supported

by Rocket Software

z/OS

ASG-Manager Products offer a comprehensive solution for managing metadata within a z/OS environment. The suite includes several key components such as ASG ControlManager for metadata...

Data Discovery Mining and Processi

View Details →

Help Improve This Directory

Notice outdated information? Have insights about this product? Help the mainframe community stay informed with accurate, current data.

Report Issue Suggest Product Share Event

Share Your Product Experience

Help the community by sharing your experience with mainframe products. Your insights help others make informed decisions.

Share Your Experience