Peer-Driven Insights

AI Ops

About this topic

AI Ops refers to the application of artificial intelligence and machine learning to automate and improve IT operations management. It enhances IT operations through automation and intelligent analytics.

Community Posts

For data lakehouse platform utilization, our use cases vary between 1. respond to smart applications' data enquiries and 2. AI/ML data exploration. The first use case type mandates low latency responses, while the second consumes computational resources for long periods. Should we create two different lakehouse platforms to serve both use case types?

What is your organization engagement strategy for AI? How do you approach training and change management?

Have you decided on a distinct operating model for AI? Is it different than IT or D&A? Is this centralized, distributed, federated?

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How does your company ensure control and consistency of its AI agents?

We don’t yet have a governance framework25%

We use manual checks or periodic reviews38%

We have defined policies and guidelines for the creation and deployment of agents, which each team ensures independently31%

We have introduced a platform to centrally manage policies, versions, and monitoring of agents3%

None of the above3%

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AI-driven cyberattacks can now breach systems in minutes, not weeks, as shown by Carnegie Mellon’s 2017 Equifax breach replication. With traditional detection struggling, how prepared is your SOC to detect and respond to machine-speed attacks?

Fully prepared — we have processes, detection, and automation in place16%

Partially prepared — we have some elements, but need to integrate and test33%

Early stages — exploring detection logic and automation options50%

Not prepared — this is not yet a focus for our team

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Can you share an example of a small, localized AI pilot that was transformed into an enterprise-wide capability? What were the key steps and relationships required to make that happen?

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How has your AI governance evolved over the last year or two? What has prompted modifications? Are your committees expanding or shrinking?

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What impact, if any, is scaling your organization’s AI operating model having on vendor relations?

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