Take this quick self-assessment to see where you are on the path to product data readiness for AI. After you answer six (6) questions (5 min), we’ll share your organization’s score on product data readiness for AI, including recommendations on how to prepare your data for AI to drive growth and better product experiences.
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 which involves analyzing your data to check that it’s consistent, complete, and comprehensive.
Let’s dive into 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.
In a world where AI is all the buzz it can be hard to truly understand how utilizing artificial intelligence (AI) for product experiences (PX) and the benefits this can have for your business. AI for PX is all about harnessing some of the most innovative AI technologies out there today to create efficient, hyper personalized product experiences across an array of digital and physical touchpoints.
The potential power of this has already been touted from the mountaintops, but there are 3 worth mentioning again:
Generate product content tailored for each unique market, language, and platform, multiplying business opportunities and brand reach
Remove lengthy manual tasks and increase operational efficiency and elevate employee job satisfaction
AI can help unburden teams and make them highly efficient which helps to encourage higher customer satisfaction.
Our Akeneo Experts are here to answer all the questions you might have about our products and help you to move forward on your PXM journey.
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