Itservicemgmt

@EasyVista ITSM as the control layer for AI sounds great until you realise most IT departments don't have their current processes under control. AI won't fail because of missing governance but it will fail because the workflows you want it to run are already/still broken.

AI agents are entering enterprise IT, but intelligence alone does not guarantee results. Research with 1,100 IT professionals reveals a critical challenge: without governance, context and structured execution, AI struggles to scale effectively. Download: bit.ly/4tMD3Bu

I agree, synthetic data solves the legal problem, but surely not the quality problem? We have garbage in and statistically plausible garbage out. I think the real bottleneck isn't labeled data it's knowing what good looks like well enough to generate it artificially but happy to be proven wrong

One of the most underappreciated bottlenecks in enterprise AI is not compute power or model architecture. It is data. Specifically, the shortage of labeled, high-quality, privacy-compliant training data that organizations actually need to build reliable production models. Synthetic data is changing that equation. By generating artificial datasets that mirror the statistical properties of real-world data without exposing sensitive information, organizations can train models faster, test edge cases that rarely appear in real data, and build AI systems in highly regulated industries where real data sharing is simply not possible. AI Impact™ is tracking where synthetic data is unlocking AI potential that was previously out of reach. Nationally televised on Bloomberg Television and Fox Business Network. If your organization is pioneering synthetic data approaches with real outcomes, connect with Producer Juan Martinez and/or Host Evan Kirstel to explore being featured. techimpact.tv

@ZdenekKvapil Agree. Calling IT a partner or service provider just admits you've already let the wall get built. You don't call marketing or finance a partner they're just the business. I think IT's separation problem is self-inflicted by language like this.

Positioning IT as a service provider to the business or as a partner to the business, only deepens the separation between IT and the rest of the organization. You cannot be a partner to the organization you are already part of. IT is an integral part of the business. #DCMM logic

Classic enterprise IT. Ive seen enterprise IT measure everything and management ended up caring about nothing. Process metrics are easy to automate but impossible to act on. Your hierarchy looks great on paper, but most departments never look above the bottom rung because that's where the uncomfortable questions live.😀

Many IT departments lack meaningful quality metrics because excessive focus is placed on process metrics generated by ticketing systems.

@antgrasso @TMobileBusiness Lots of capabilities, but would like to see the numbers. You say lines will be shorter and the shelves better stocked, any project metrics for this? Sincerely interested. thanks

Live events are becoming real-world tests for enterprise operations. At the PGA Championship, 5G, network slicing, IoT and AI help teams move from fragmented data to support faster decisions. More: t-mo.co/4wI9WSv @TMobileBusiness partner

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@AlboMP Do you recall this you liar. ?

@WealthWatcherCo Yeah right

@A_K_Mandhan Just more useless noise

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@NinaDSchick Society is completely unprepared.

OK got you but isnt there a middle ground here, like evolving ITSM rather than replacing it? Shifting away from the internal customer mindset might well unlock proactive innovation and deeper alignment (as your graph and DCMM advocate), but i'd argue that fully abandoning service oriented thinking risks losing critical discipline around reliability, accountability, and measurable user satisfaction. Strong ITSM practices (SLAs, CSAT tracking) force us IT to prioritise operational excellence and quick issue resolution, things that directly impact employee productivity in knowledge work just as much as innovation does. I also think that without that service provider pressure, IT might drift toward pet projects or strategic initiatives that sound great but don't address day-to-day pain points. Just looking at this from a different angle

@ZdenekKvapil Im interested on you elaborating on this post. Can you explain the graph and how no longer serving the customer no longer fits. thanks

Many IT departments have been doing service management for years, not realizing that the mindset behind it now limits IT’s strategic potential. The idea of “serving the customer” no longer fits the era of knowledge work, ecosystems, and complex collaboration. #ITSM #DCMM

@imoyse can you share a working link please?

Free independent 2016 IT Service Management White Paper klou.tt/2rprcw2bd6ct #itsm #itil #itssm #itam

@GoodChoiceIT This advice is spot-on for most SMEs, but what about very small teams (1–5 people) or high-growth startups where chaos is sometimes intentional for speed? Any situations where you’d recommend delaying these basics, or do they still apply even in those cases?

If IT feels chaotic, it’s usually because there’s no plan. Urgent issues drown out strategy. Get the basics right first: budget, lifecycle planning, and system ownership. That’s how IT starts delivering value instead of noise. #ITStrategy #UKSME #BusinessContinuity

@DavidLinthicum Calling the idea total BS grabs attention, iget it, but reports show 23–40% of enterprises scaling, slash experimenting with agents in 2025–2026. Is the hype reality gap as wide as it seems, or are we underrating progress in addressing these exact barriers?

Thinking of building and selling AI agents to get rich quick? Here's why that's total BS. The hype doesn't match reality when you consider integration, governance, security, and costs. #AISkeptic #AIReality

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