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IBM Cloud Pak for Data Reviews & Product Details

IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Running on Red Hat OpenShift and available on any cloud, this unified platform helps companies automate the end-to-end AI lifecycle. The intelligent data fabric in IBM Cloud Pak for Data enables automated distributed queries at scale without data movement; automated discovery and understanding of business-ready data; automated universal privacy and usage policies across the data ecosystem; and optimized model training, accuracy and explainability. View the demo: https://mediacenter.ibm.com/media/1_je41fqqz. The platform delivers on the below use cases: • Data access and availability – Eliminate data silos and simplify your data landscape to enable faster, cost-effective extraction of value from your data. • Data quality and governance - Apply governance solutions and methodologies to deliver trusted, business data. • Data privacy and security - Fully understand and manage sensitive data with a pervasive privacy framework. • ModelOps - Automate the AI lifecycle and synchronize application and model pipelines to scale AI deployments. • AI governance – Ensure your AI is transparent, compliant and trustworthy with greater visibility into model development, with capabilities such as explainable AI, model risk management and bias detection. • AI for Financial Operations - Automate and integrate planning across your organization, from financial planning & analysis to workforce planning, sales forecasting and supply chain planning. • AI for Customer care - Reduce time to resolution, decrease call volume and increase customer satisfaction. IBM Watson Assistant (WA) can provide AI-powered automated assistance and enable human agents to better handle inquiries. IBM Watson Discovery (WD) complements Watson Assistant and can help unlock insights from complex business content. Discover IBM Cloud Pak for Data Industry Accelerators: https://dataplatform.cloud.ibm.com/gallery?context=cpdaas See a case study: https://mediacenter.ibm.com/media/1_sr6lx8sz Try at no-cost: http://ibm.biz/dataplatformtrial

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IBM

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IBM Cloud Pak for Data Community

Product Description

Your AI is only as good as the data that feeds it. With IBM Cloud Pak for Data, you can make your data ready for an AI and multi-cloud world and access an array of IBM Watson technologies at your fingertips. Rapidly provision services for data scientists, data engineers and developers so they can work faster than ever. Simplify hybrid data management, unified data governance and integration, data science and business analytics with a single solution.

Overview by

Pearl Chen

Value at a Glance

Averages based on real user reviews.

Time to Implement

4 months

Return on Investment

19 months

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IBM Cloud Pak for Data Media

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Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

2/11/2019

Business partner of the seller or seller's competitor, not included in G2 scores.

"Best kept secret of the hybrid cloud."

2.5/5

What do you like best about IBM Cloud Pak for Data?

A single platform for data capture, modeling, storage, and distribution. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

Marketing, marketing, marketing.... Does the name keep changing? Tell the world about this amazing solution. Review collected by and hosted on G2.com.

Verified User in Financial Services

Enterprise (> 1000 emp.)

2/13/2019

"going to icp"

4.5/5

What do you like best about IBM Cloud Pak for Data?

open source supported by ibm as well as portability, and easy transition from redhat Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

steep learning curve, difficult to get all stakeholders aligned Review collected by and hosted on G2.com.

Verified User in Health, Wellness and Fitness

Enterprise (> 1000 emp.)

2/12/2019

"Suggest public cloud as you will be limited to private cloud"

3.5/5

What do you like best about IBM Cloud Pak for Data?

Gives piece of mind from compliance perspective and great platform as a service for accelerated development. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

missing out features from public cloud. Review collected by and hosted on G2.com.

Verified User in Government Administration

Enterprise (> 1000 emp.)

2/14/2019

Business partner of the seller or seller's competitor, not included in G2 scores.

"Robust and secure private cloud platform infused with AI"

4/5

What do you like best about IBM Cloud Pak for Data?

Ease of development and deployement, open source support, kubernetes based Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

Better community support and support for the technology Review collected by and hosted on G2.com.

Verified User in Banking

Enterprise (> 1000 emp.)

2/13/2019

"ICP security overviez"

2.5/5

What do you like best about IBM Cloud Pak for Data?

Based on kubernetes with intersteting capibilities on top Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

Not CIS compliant by default (security) Review collected by and hosted on G2.com.

Verified User in Security and Investigations

Mid-Market (51-1000 emp.)

2/11/2019

"ICP4D for Cyber Threat Intelligence"

5/5

What do you like best about IBM Cloud Pak for Data?

I like that ICP4D supports tensorflow to use Deep Learning Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

I want ICP4D to support GPU along with tensorflow Review collected by and hosted on G2.com.

Verified User in Telecommunications

Mid-Market (51-1000 emp.)

2/12/2019

"IBM cloud Private for data "

4.5/5

What do you like best about IBM Cloud Pak for Data?

We have hosted several servers on obm softlayer . Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

The over support has been little slow . Review collected by and hosted on G2.com.

Verified User in Health, Wellness and Fitness

Enterprise (> 1000 emp.)

2/12/2019

"Its fun to use"

3/5

What do you like best about IBM Cloud Pak for Data?

I find it to be very very scalable it is Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

Challenges accross multiple cloud environments Review collected by and hosted on G2.com.

Verified User in Leisure, Travel & Tourism

Enterprise (> 1000 emp.)

2/14/2019

Business partner of the seller or seller's competitor, not included in G2 scores.

"easy to setup"

3.5/5

What do you like best about IBM Cloud Pak for Data?

whai like the best is cost effectiveness Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

nothing so far i disliked about so far to mention Review collected by and hosted on G2.com.

Verified User in Computer Software

Mid-Market (51-1000 emp.)

2/13/2019

"Innovative product"

4/5

What do you like best about IBM Cloud Pak for Data?

I can run in premises

Based on industry standards Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

Needs improvements

requires manual steps, not fully automated Review collected by and hosted on G2.com.

Pricing Insights

Averages based on real user reviews.

Time to Implement

4 months

Return on Investment

19 months

Perceived Cost

$$$$$

View More Pricing Information

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IBM Cloud Pak for Data Features

Model Development

Feature Engineering

Data Transformation

Real-Time Analytics

Data Querying

Connectivity

Hadoop Integration

Spark Integration

Multi-Source Analysis

Operations

Data Visualization

Data Workflow

Governed Discovery

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Predictive Analytics

Infrastructure as a Service (IaaS)

Data Science and Machine Learning Platforms

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Pros and Cons Details

4.3 out of 5 stars

IBM Cloud Pak for Data Reviews & Product Details

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IBM Cloud Pak for Data Reviews (88)

IBM Cloud Pak for Data Reviews (88)

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