Report
Follow These Five Steps to Make Sure Your Data Is AI-Ready
Too many organisations lack specific strategies to get their data AI-ready. Here are the 5 steps - aligned with modern data management technologies and practices - that data and analytics leaders should take to avoid failures.
52% of AI projects never make it into production.
According to the 2023 Gartner AI in the Entreprise Survey, an average 52% of AI projects never make it into production and 39% of participants indicated that data-related issues are one of the top three barriers to AI adoption.
Don’t let your AI initiatives fail.
Ensuring your data is AI-ready isn’t a one-off effort.
Get a complimentary copy of the Gartner report, “ Follow the Five Steps to Make Sure Your Data is AI-Ready” on us and learn:
- Why relying on measures like data quality may be inadequate to determine AI-readiness
- How AI-readiness is not a one-off effort but a continuous process
- Why AI use cases and an organization's data management practice and maturity impact your AI-readiness
And future proof your initiatives before you even begin.
Gartner, Follow These Five Steps to Make Sure Your Data Is AI-Ready, Melody Chien, Ehtisham Zaidi, Mark Beyer, 18 October 2024 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
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