IBM Cloud Pak for Data

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.

Languages supported:

8.6/10 (Expert Score) ★★★★★
Product is rated as #15 in category Big Data Analytics Software
Ease of use
8.5
Support
8.3
Ease of Setup
0.0

Images

Check Software Images

Digital transformation through AI is the key to business innovation. 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 accelerate and manage the end-to-end AI lifecycle. Save costs with reduced storage expenses and better tools consolidation, all built on a single cloud-native infrastructure with enterprise-level security.

The platform delivers on six primary use cases:

– Automated AI lifecycle – Empower data science teams from data preparation to building and deploying machine learning models to managing them at scale while ensuring governance, including bias detection, explainability, model fairness and drift detection.

– Data Modernization – Eliminate data siloes through governed data virtualization. Access data in real time and discover, prep, transform, govern, catalog and access data at scale across all enterprise data sources.

– DataOps – Enforce policy controls to allow access to ALL relevant data sets. Scale your data operations on individual columns and rows, so that assets with sensitive data can still be used. Improve your data preparation, data quality, lineage and regulatory compliance.

– AI for Financial Operations – Automate and integrate planning across your organization, from financial planning & analysis to workforce planning, sales forecasting and supply chain planning. Deliver more agile, reliable plans and forecasts to drive better business performance.

– 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 through web, mobile or voice channels and enable human agents to better handle inquiries. IBM Watson Discovery (WD) complements Watson Assistant and can help unlock insights from complex business content–such as manuals, contracts and scanned pdfs.

– Self-service Analytics – Collect relevant data and build reports or dashboards to derive business insights. Cloud Pak for Data includes everything you need to develop, visualize and analyze data at scale.

For more information, visit: ibm.biz/data_modernization

See a case study: https://mediacenter.ibm.com/media/1_sr6lx8sz

IBM Cloud Pak for Data
IBM Cloud Pak for Data

Show more categories

Customer Reviews

IBM Cloud Pak for Data Reviews

shridhar P.

Advanced user of IBM Cloud Pak for Data
★★★★★
A good framework for data analytics and more

What do you like best?

Rich with many features like data virtualization, integrations with many tools, unique way of data processing, etc. Not only that CPD has integrations with many external tools it as it runs on kubernetes we can bring in any kind of process or tool into the cluster with some work.

Also IBM team supported very well throughout the process. They even let us use their sandbox for while until we get comfortable with the system.

What do you dislike?

Cost of the tool is not that approachable for smaller companies. I guess just like other IBM tools even this comes with certain cost. Another important factor to consider is its complexity. As there are many feature it brings in more complexity to the tool. It will take some time/training to understand all the aspects of this tool.

Recommendations to others considering the product:

Its a good tool with many features... if your team likes it and fits you requirement list + budget then I would recommend it.

What problems are you solving with the product? What benefits have you realized?

We are trying to solve media related data processing problem using CPD. It involved pulling data from various sources like S3, databases, SFTP, even file uploads. Once the data from different sources are available in the system it has to be cleansed, transformed and made available for analytics at its lowest granularity. From their it would go into different paths - aggregation of the data for visualization by business teams while some folks would be using the raw data fore deep analytics.

Review source: G2.com

Leave a reply

Your total score

B2B Software Guide