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Home » IESE

IESE

More AI Means More Managers

By Jeff Burt|2024-11-18T10:31:12-05:00November 18, 2024|

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Cloud and Edge AI

Step 1 of 7

14%

Which of the following types of AI application have you ever developed, deployed or supported?(Required)

Cloud-based AI

Data-center-based AI

Edge-based AI

Other type of AI

Expecting to develop/deploy/support AI applications

Haven’t yet developed/deployed/supported AI applications

In your view, what are the primary drivers for using edge-based AI?(Required)

Real-time processing or analytics needs

Enhanced privacy

Other

Reduced latency

Cost reduction

Connectivity limitations

Storage I/O limitations

Improved reliability

Bandwidth limitations

Other, please specify:

If you are using or planning to use edge-based AI, what are the biggest challenges you have faced or anticipate facing?(Required)

Lack of expertise operating edge AI systems

Integration with existing systems

Security concerns

Hardware costs

Lack of expertise in edge AI development

Limited control over edge deployments

Connectivity issues

Other

Difficulties in scaling edge deployments

Hardware limitations

Other, please specify:

When you think about AI systems generally, what's most important to you? [Please select only two responses](Required)

Operating costs

Memory requirements

Storage requirements

Infrastructure costs

Performance (speed, latency)

Energy consumption

Other

Other, please specify:

In your view, how important is it to be able to control the configuration of edge-based AI solutions?(Required)

Very important – we need to be able to customize all aspects

Somewhat important – we need to be able to adjust key parameters

Not very important – out-of-the-box solutions are generally sufficient

Not applicable - I am not using or planning to use edge-based AI

What is your current level of satisfaction with the tools and platforms you use for edge-based AI?(Required)

Very satisfied

Satisfied

Neutral

Dissatisfied

Very dissatisfied

Not applicable - I am not using or planning to use edge-based AI

What types of tools or platforms do you most prefer for developing and/or deploying AI systems—whatever their ultimate production environment (cloud, data center, or edge)? [Please select up to two responses](Required)

Cloud-based

On-premises

Environment-specific tools/platforms (edge-specific for edge, e.g.)

Custom-built tools/platforms

Out-of-the-box tools/platforms

No preference

Other

Other, please specify: