IBM Cloud Pak for Data Description

Unutilized data is the biggest obstacle to scaling AI-powered decision making. IBM Cloud Pak®, for Data is a unified platform that provides a data fabric to connect, access and move siloed data across multiple clouds or on premises. Automate policy enforcement and discovery to simplify access to data. A modern cloud data warehouse integrates to accelerate insights. All data can be protected with privacy and usage policy enforcement. To gain faster insights, use a modern, high-performance cloud storage data warehouse. Data scientists, analysts, and developers can use a single platform to create, deploy, and manage trusted AI models in any cloud.

Pricing

Pricing Starts At:
$699 per month

Integrations

Reviews

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Company Details

Company:
IBM
Year Founded:
1911
Headquarters:
United States
Website:
www.ibm.com/products/cloud-pak-for-data

Media

You Might Also Like
Data-Driven Innovation: The CDP Playbook for Eng Teams Icon
Data-Driven Innovation: The CDP Playbook for Eng Teams

Why your engineering team needs a CDP

In this playbook, you’ll learn…
- How engineering teams use real-time customer data to achieve business goals.
- How to elevate your business to a new level of engineering efficiency with AI.
- Strategies used by engineering teams at Instacart, Staples Canada, Televisa Univision, CrossFit, and ClearScore to improve KPIs and drive efficiencies.

Product Details

Platforms
SaaS
On-Premises
Type of Training
Documentation
Live Online
Webinars
In Person
Videos
Customer Support
Phone Support
24/7 Live Support
Online

IBM Cloud Pak for Data Features and Options

Big Data Software

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Predictive Analytics Software

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Machine Learning Software

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

Data Science Software

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

Data Fabric Software

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management