What are the roadblocks to AIOps at your organization?

Operations ManagementMachine Learning (ML)

Lack of qualified talent39%

Improper data management53%

Lack of cultural readiness54%

Business value is unclear to leadership23%

Cybersecurity risk potential14%

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“If you can explain LLMs to a 6 year old, you can explain them to anyone.”

Here’s me taking a stab at it (cross-posting)
https://www.linkedin.com/posts/arun-kumar-elengovan-b7019a33_ai-llm-activity-7371436857710227457-QFx2

Drop your simplest LLM analogy in the comments. I’m curious to see some creative explanations !!

When it comes to a generic Enterprise Service Desk, what percentage of Tier 1 issues will be solved by AI bots rather than humans in 4-5 years?

>90%14%

50-90%50%

25-50%23%

<25%14%

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What’s the biggest hype vs. reality gap in AI pentesting today?

Coverage—AI claims full scan, but misses deep flaws38%

Speed—AI is fast but error-prone62%

Creativity—AI scripts can’t improvise10%

Integration—vendor tools don’t plug into DevSecOps28%

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How have you calculated ROI of AI solutions (including agents) that you've rolled out at your firm? Are there specific KPI's that you've focused on and how have you measured (and validated) the value?

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Which pitfalls—model bias, false positives/negatives, data quality, regulatory constraints—often impede AI-based security tools, and how can they be mitigated in a financial-services context?

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