Does anyone have any experience with standardising Out of Hours (OOH) support arrangements in order to support a range of service models at a large organisation? Would love to chat if so, and can share some thoughts our side as we wrestle with the challenge at Co-op.

2k viewscircle icon4 Comments
Sort by:
Head of Data Platforms Architecture10 months ago

I was part of several of those engagements in my past consulting experience. I can definitely share my experience and insights 

1 Reply
no title10 months ago

Thank you - connect request sent

Executive Director, Health Information Technology10 months ago

Yes, I can discuss with Co-op.

1 Reply
no title10 months ago

Thank you - connect request sent

Content you might like

Which key pentesting capability do current AI-driven vendor solutions most fail to cover?

We are in a world obsessed with the latest technologies, where it seems everything even working should be updated or upgraded to avoid the "imposed" in my opinion "digital obsolescence myth". How inclined are you towards innovation and change when the existing systems are certainly working effectively?

Very inclined: I believe in constantly pushing for innovation and improvement, even if the current systems are effective46%

Moderately inclined: I'm open to innovation and change, but only if it clearly enhances or adds value to the existing systems48%

Not inclined: If the current systems are working effectively, I prefer to maintain stability and avoid unnecessary changes5%

View Results

Why do you think there are so few mature AI-driven autonomous pentesting solutions on the market, and why does this topic seem to generate more hype than in-depth technical discussion?

Read More Comments

Distributors, if your supplier(s) offered a native app (installed through an application store like Google Play or Apple's App Store) would you use it?

Yes47%

Maybe48%

No3%

Uncertain2%

View Results

Anomaly Detection / Mindbridge: We’re exploring tools that support continuous monitoring of financial transactions (e.g., inventory adjustments, journal entries, credit memos, disbursements) to help us identify anomalies earlier than our traditional periodic audits allow. We are a $20B company with 50+ different ERP systems globally (some data is mastered). Our goal is to enhance fraud detection and internal controls using modern, AI/ML analytics tools. We've started a vendor assessment process and MindBridge seems to be the only vendor that fairly fits the bill. I'd appreciate if someone can share any feedback/experience on the solution/vendor.