IBM Cloud Pak for Data Features

Supports a variety of scripting environments

Mines data from databases and prepares data for analysis

Applies statistical algorithms to selected data

Analyzes both structured and unstructured data

Interacts with data to prepare it for visualizations and models

Series of data points indexed in time order

Review data from past periods to reveal recurring tendencies and predict future performance

Offers modeling capabilities

Creates data visualizations or graphs

Generates reports of data performance

Unifies information on a singular platform

Alter the layout and content of reports

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Provides users with pre-built algorithms for simpler model development

Supplies large data sets for training individual models

Supports common databases such as MySQL and Oracle

Manage and support multiple languages

Transforms raw data into features that better represent the underlying problem to the predictive models

Offers image recognition services

Offers natural language processing services

Offers natural language generation services

Offers artificial neural networks for users

Offers natural language understanding services

Provides deep learning capabilities

Manages the intelligent application for the user, reducing the need of infrastructure

Allows users to insert machine learning into operating applications

Provides easily scaled machine learning applications and infrastructure

Facilitates analysis of high-volume, real-time data.

Allows user to query data through query languages like SQL.

View and track pertinent metrics to find patterns and gain insights from data

Predict future data based on historical data sets

Interact with data visualization elements, such as charts and graphs, to drill down into data

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Spark

Integrates data from multiple external databases.

Facilitates the dissemination of collected big data throughout parallel computing clusters.

Receive data and information in real time

Import, collect, and capture data from multiple sources

Review data from past periods to reveal recurring tendencies and predict future performance

Provides varying estimates based on different scenarios

Apply statistical/mathematical models to sets of data

Merge data from multiple sources to a single data set

Set up connections to third-party platforms to improve business processes

Processes data and represents interpretations in a variety of graphic formats.

Strings together specific functions and datasets to automate analytics iterations.

Isolates certain datasets and facilitates management of data access.

Allows big data tool to run and record data within external applications.

Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Discover and connect variety of data sources to the application for analysis

Allows users to create virtual machines to meet specific needs and optimize performance.

Provides interface for building custom machines and analytics.

Supports the necessary operating system and linux distributions for custom machines.

Lets users provisionnetworks, deliver content, balance loads, and manage traffic.

Provides virtual networks and operating systems.

Securesapplications, encrypt data, and manage identities.

Enables maintenance to existing virtual machines to improve functionality and security.

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

Allows transferring data and virtual machines during adoption and maintenance.

Provides management tools for data storage, database configuration, and scaling.

Lets users analyze storage, performance, and connectivity.

Supports for managing different types of databases and integration methods.

Captures information related to IP traffic and network usage.

Services are offered under a pay-as-you-go or utilization-based purchase model.

Track a business' IaaS usage statistics through dashboards, metrics, and reporting.

Track a business' IaaS performance statistics through dashboards, metrics, and reporting.

Track and document all activities across devices, networks, and other systems

Provides public cloud capabilities.

Provides private cloud capabilities.

Provides hybrid cloud capabilities.

Provides bare metal servers.

Provides high-performance computing (HPC) capabilities.

Provides virtual machines (VMs).

Provides edge computing capabilities.

Provides virtual networking capabilities.

A network of remote servers which allow businesses to store, manage, and process data through the cloud instead of a local server

Gives user ability to import a variety of data sources for immediate use

Receive data and information in real time

Scales infrastructure resources automatically to meet capacity or computational demands

Consolidate data from various disparate sources in a single unified view

Understand the state of data, applications, systems and services

Manage data across environments (on-premises cloud, hybrid, and multi-cloud)

Provides metadata management and lineage capabilities

Supports advanced analytics solutions for better business decision making

Rules and regulations inherited from source systems or defined to secure sensitive data

Grant or restrict data access and control

Built - In Backup and Disaster Recovery

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Provides the ability to generate images from a text prompt.

Use AI to generate content in the form of text, images, videos, etc.

Ensures that the service is reliable and available when needed, minimizing downtime and service interruptions.

Allows the user to scale the training of models efficiently, making it easier to deal with larger datasets and more complex models.

Provides the user the ability to get quick and low-latency responses during the inference stage, which is critical for real-time applications.

Offers the user a transparent pricing model for API calls, enabling better budget planning and cost control.

Provides the user the ability to allocate computational resources based on demand, making it cost-effective.

Allows the user to minimize energy usage during both training and inference, which is becoming increasingly important for sustainable operations.

Offers the user the flexibility to deploy across multiple cloud providers, reducing the risk of vendor lock-in.

Provides the user the ability to seamlessly connect with various data sources and pipelines, simplifying data ingestion and pre-processing.

Allows the user to easily integrate the generative AI models into existing workflows and systems via APIs.

Helps the user maintain compliance with GDPR and other data protection regulations, which is crucial for businesses operating globally.

Allows the user to set up access controls based on roles within the organization, enhancing security.

Ensures that data is encrypted during transit and at rest, providing an additional layer of security.

Provides the user with comprehensive and clear documentation, aiding in quicker adoption and troubleshooting.

Allows the user to gauge the level of community support and third-party extensions available, which can be useful for problem-solving and extending functionality.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Set up connections to third-party platforms to improve business processes

Alter the layout and content of reports

Provides a channel for team members to share media files, communicate, and work together

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Manage and store data in a database

Generate one-off reports that meet information requirements

View and track pertinent metrics to find patterns and gain insights from data

Predict future data based on historical data sets

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Define levels of authorization for access to specific files or systems

Interact with data visualization elements, such as charts and graphs, to drill down into data

Track the management and flow of data throughout the organization

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Apply statistical/mathematical models to sets of data

Organize and group data or items based on various criteria

Review data from past periods to reveal recurring tendencies and predict future performance

Examines, analyzes, and organizes data to create relevant summaries or graphs.

Graphical representation of data

Application programming interface that allows for integration with other systems/databases

Allows users to manage data from a number of sources

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Search and filter data across systems to locate required information by entering keywords or certain criteria

Import and export data to and from software applications

Import, collect, and capture data from multiple sources

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Observe and track the demand, usage, progress or quality of a system, product, or user

Connect to big data sources

Transforming unstructured text into a structured format to identify meaningful patterns and new insights

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Analyzing historical and current data and generating a model to help predict future outcomes.

Analyze and gain insights into data in real-time

Configure existing workflows to meet your organization's needs

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Track status, assign actions, and control access to systems for devices within the organization

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.

Examine established processes and records to ensure accuracy, compliance, and policy adherence

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Share, track, and store machine learning models and data.

Ability to handle large datasets

Track and document all activities across devices, networks, and other systems

Protect sensitive data for digital privacy

Create, design and manage workflows for repetitive tasks

Central repositories of integrated data from various sources

Assemble applications and processes by dragging over and arranging pre-built components

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Connect to big data sources

Generate one-off reports that meet information requirements

Alter the layout and content of reports

System alerts about the need to escalate an issue or request

Sample files or documents that could be customized as needed or used as is

Form predictions based on past and present data/trends

Move from one database to another, or upgrade the version of database software being used

Translate EDI formats into data suitable for use with company applications.

Define levels of authorization for access to specific files or systems

Application programming interface that allows for integration with other systems/databases

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Creation and customization of dashboards

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Protect sensitive data for digital privacy

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Provides a channel for team members to share media files, communicate, and work together

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Process and analyze large volume of data

Supports common databases such as MySQL and Oracle

Search and filter data across systems to locate required information by entering keywords or certain criteria

Use AI to generate content in the form of text, images, videos, etc.

Track revisions and updates made to files and navigate between different versions

Supports common databases such as MySQL and Oracle

Active monitoring of systems, applications, or networks

Observe and track the demand, usage, progress or quality of a system, product, or user

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Configure existing workflows to meet your organization's needs

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Organize and manage the accomplishments and development of employees or performance of applications or systems

Continuously scan servers on a designated network to monitor health and search for any irregularities or failures

Protect sensitive data for digital privacy

View and track pertinent metrics to find patterns and gain insights from data

Application programming interface that allows for integration with other systems/databases

Track and manage adherence to policies for any service, product, process, or supplier

Define levels of authorization for access to specific files or systems

Verify the identity of users/devices to enable secure access

Analyze and gain insights into data in real-time

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

Allow users to access multiple services after entering their login credentials once

Use AI to generate content in the form of text, images, videos, etc.

Set up connections to third-party platforms to improve business processes

System alerts about the need to escalate an issue or request

Manage and store data in a database

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Process of planning, scheduling and executing the optimal and effective use of human capital across projects

Plan availability and assign specific time slots for tasks and resources

Process of distributing a set of tasks over a set of resources, with the aim of making their overall processing more efficient

Create backups and provide methods to recover deleted/lost data

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Set & manage permission levels based on user roles and restrict access to only authorized individuals

At least a username and password is required to access the system

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Tracks and makes accessible data on the health of servers and other network components.

Set and monitor service level agreements to ensure timely response and resolution

Track and manage the scheduling of tasks

Track, manage and store the applications of potential future members, customers or candidates

Assign available resources (human and/or non-human) to various projects and tasks

Notifications that are delivered to users as soon as an event occurs

Move from one database to another, or upgrade the version of database software being used

Identify component attributes like servers, hardware, software, and manage relationships across all services

Collection, search, and analysis of access logs and audit logs

Graphical representation of data

Receive data and information in real time

A record of all activities within the system, including user access, changes made, etc.

Securely stores data to prevent data loss or breaches

Import, collect, and capture data from multiple sources

Create, design and manage workflows for repetitive tasks

Monitoring and measurement of relevant metrics to assess the performance of IT resources

Search and filter data across systems to locate required information by entering keywords or certain criteria

Forecast customer demand using historical insights and simulations

Software program that continuously adjusts its behavior based on observed data

Assemble applications and processes by dragging over and arranging pre-built components

Software designed for the healthcare industry

Form predictions based on past and present data/trends

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Set up connections to third-party platforms to improve business processes

Tools that provide relevant information at specific times to support judgments and courses of action

Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

View and track pertinent metrics to find patterns and gain insights from data

Allows users to manage data from a number of sources

For Retail Stores

Used for educational purposes

Discover and connect variety of data sources to the application for analysis

Create, design and modify the flow and processes of tasks in a project

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Define and maintain business rules that determine workflow capabilities and criteria

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Process and analyze human language in text or audio form

Translate EDI formats into data suitable for use with company applications.

Clustering or grouping objects based on data similarities

Application programming interface that allows for integration with other systems/databases

Merge data from multiple sources to a single data set

Grouping log entries based on similar attributes.

Create, design and manage workflows for repetitive tasks

Streamlining repetitive tasks and activities through automated and predefined workflows