Akeneo Product Cloud
Product Cloud Packages
PIM - Centralize, Manage & Enrich
SDM - Onboard Suppliers
Activation - Syndicate Product Experiences
Shared Catalogs - Simplify Data Sharing
PX Insights – Optimize with Customer Data
Overview
Professional Services
Training & Certification
Support & Help Center
PX Strategy Self Assessment
The Akeneo Partner Ecosystem
Become an Akeneo Partner
Blog
Resource Library
Become an Akeneo Contributor
Glossary
New Report
Download Now
"*" indicates required fields
AI can make intelligent predictions by identifying patterns in information it’s been fed, but the quality of AI outputs depends on the quality of product information. In this comprehensive guide, we dive into the 6 essential criteria that your data must meet in order to take full advantage of AI technology.
Type
Challenge
Artificial intelligence is a powerful tool, yes! But it’s not magic. AI does not think; it is only capable of reproducing information once it has learned it. It can make intelligent predictions by identifying patterns in information it’s been fed, but the quality of AI outputs depends on the quality of product information.
This is why, when working with artificial intelligence, it is important to go through a learning phase. This involves analyzing your data to check that it’s consistent, complete, and comprehensive.
In this comprehensive guide, we dive into the 6 essential criteria that your data must meet in order to take full advantage of AI technology so that you can follow along and rate your product data as we go. No need to panic; if you don’t meet all the criteria, reach out to an AI for PX expert today to see how we can help.
Download the infographic today to see how your product data stacks up!
"*" indicates required fields
Sign up for our newsletter and stay ahead of the curve on everything you need to know about product information management, product experience management and how to unlock growth for your organization.
