**IDC Report**

# Overcoming Challenges in AI Implementation

Learn why AI needs to be taken out of silos and integrated into the data center or cloud to be infused into an organization.

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## To Take AI Into Production, Businesses Need Enterprise-Grade Solutions

As organizations become more aware of the advantages of AI, they’re focusing less on model training and more on inferencing for deployment in production—but a number of obstacles prevent them from progressing. A new IDC report explores why companies need to shorten the time between planning and production, the significance of real-time processing, and the importance of enterprise-grade AI solutions to successful AI adoption.

#### AI Integration Throughout the Organization

Organizations are struggling to move from a siloed and low-efficiency environment for AI to a more streamlined and integrated environment.

#### Enterprise AI That Can be Deployed Everywhere

Businesses plan to run their AI workloads not just on premises or just in the cloud but in a combination of on-prem, cloud, and edge.

#### Mission-Critical Improvements Required

Businesses are looking for critical improvements across the AI stack, such as better security and management.

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