How often do you test your Disaster recovery plan?
Quarterly67%
Annually37%
Bi annually2%
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I am interested in people who have tried generative AI coding projects. In your experience, are there project attributes that make generative AI coding capabilities a "good fit"? Are there project attributes that are likely indicators that generative AI will not result in something useful? I would think complexity of requirements is a big factor. If the complexity of the project or its requirements is low - I assume genAI coding can get you within the ballpark. For instance, logic stores: if your project has critical business logic spread out all over the place and not centralized I think that generative AI would not be able to make sufficient sense of that.
Lack of mature vendor solutions44%
Trust in AI accuracy62%
Budget constraints17%
Skills to operate the tools27%
How do you manage your enterprise content efficiently, and how is your organization (specific to content)?
Virtualization Strategy and Implementation25%
Hyper-Converged Infrastructure (HCI) Adoption37%
Infrastructure Observability and Monitoring36%
Cloud-Based Backup and Shared Infrastructure Services from local vendors32%
Software-Defined Infrastructure and Automation27%
Edge Computing and Edge AI Implementation10%
Advanced Data Center Cooling Technologies8%
Hardening of existing Infrastructure8%
We have a DR for quarterly but a more accurate strategy should have different approach. For example is the infrastructure changes or there are events and it is necessary to verify the impact in the DR (you can't wait the next cycle!).