General Enquiries: +1 818 700 4000

451 Research

S&P Global

Market Intelligence

Top Considerations for AI Decision Makers

DDN 451

AI Decision-Makers Face Multiple Data Challenges

AI decision-makers require improved data storage visibility, mobility and performance

DDN 451 Infographic

The amount of data used for AI/ML processing continues to grow at a rapid rate

DDN 451 Infographic

AI/ML workload data is collected and generated in multiple venues, increasing the need for data mobility

DDN 451 Infographic

Performance enhancements are required in multiple dimensions

A unified view of data is essential

A unified data view allows organizations to see where data is distributed and where it needs to go for processing and long-term retention


Of respondents are willing to pay to have a unified view of data for AI/ML initiatives

How important is it to have a unified view of your entire data for your AI/ML initiatives?

Base: All respondents (n=687)

DDN 451 Infographic


Would pay a premium for a unified view


Of digital transformation leaders would pay a premium for it

Data volume increase is a top concern


Of digital transformation leaders are expecting an increase in the amount of data they use to train AI/ML models and the data used to make predictions. Only half (51%) of digital transformation laggards are expecting increases.

DDN 451 Infographic

Rapid data growth will only accelerate, increasing the need for storage scalability and proactive management capabilities to keep workloads in check.


Data related to AI/ML workloads is collected/generated in multiple venues


Of digital transformation leaders have AI/ML workload data in multiple venues.

Only 26%

Of digital transformation laggards have data in a single venue.

DDN 451 Infographic

AI decision-makers need to be able to manage data across multiple venues including core, edge and cloud environments.

DDN 451 Infographic

Active data sets must be quickly and transparently moved to the appropriate execution venue for rapid processing.

DDN 451 Infographic

As data becomes inactive, archiving to lower-cost storage can reduce costs for AI decision-makers.

Performance improvements are required in multiple areas

Which performance aspect of storage would your organization want to improve the most?

Base: All respondents (n=407)

DDN 451 Infographic
DDN 451 Infographic

Storage systems must provide performance across multiple dimensions to meet the needs of complex workloads such as AI/ML

Sources: 451 Research's Voice of the Enterprise: AI & Machine Learning, Infrastructure 2021; Storage, Transformation 2020

Data Direct Networks

Learn steps to simplify your AI deployment and drive faster innovation with DDN’s AI Success Guide.



Speak to a Member of Our Team Today!