IT Operations

The hard truth about lifecycle management

Lifecycle management should head off crises in the making but doesnu2019t. Instead, consider u2018version currency managementu2019 and stave off catastrophe by being tactical about keeping systems current.

Project manager interview questions: 5 key areas to prep for

To land that project management gig, be prepared to talk about what youu2019ve done, where youu2019re going, and how you think.

CIO change agents: Lessons from the front lines of IT transformations

Leading CIOs from the energy, financial, fashion, and fleet management sectors discuss how they changed their IT organizations to pave the way for business transformation.

12 KPIs every project manager should know

Metrics are the only way to truly know if your project is on track. These essential key performance indicators will help you monitor and better manage the health of your projects.

5 ITSM hurdles and how to overcome them

5 ITSM hurdles and how to overcome them

Doing too much too fast, under-communicating, failing to focus on the businessu2026 as with so many IT initiatives these common mistakes can undermine ITSM effectiveness.

What is ServiceNow Impact? An app to keep digital transformations on track

ServiceNow is offering to help CIOs get more value from their investment u2014 if theyu2019ll pay just a little more.

5 project management resume tips

To get your foot in the door, you need to explain the impact youu2019ve had on projects u2014 and bring the numbers to prove your worth.

A tsunami of IT project disasters is on the horizon

No garden-variety u2018over budget and behind scheduleu2019 project failures here. Weu2019re talking spectacular failures that disrupt supply chains, delay the reporting of financials, and blow up the careers of seemingly competent executives.

7 tips for containing project scope

Curtailing scope creep is always top of mind for project managers. Here's how to ensure your project meets its intended purpose, goals, and scope requirements.

3 areas where AIops excels — and 2 where it still falls short

AIops speeds IT discovery and troubleshooting, but it isnu2019t magic. And operations staff must still prepare the data for machine learning and manually solve some issues.