New & Notable
News
AI control is becoming an architecture problem for CIOs
CIOs face multiple AI control layers across orchestration, models, data, identity and governance. The challenge is understanding how those layers work together.
Evaluate
Failed sustainability projects and the lessons learned
Failed sustainability projects often arise from poor data, siloed teams and unclear ownership, leading to costly mistakes and unrealized technology benefits.
News
Why enterprise AI fails at the org chart, not the model layer
AI models are easy to access. Organizational authority is not. David Linthicum explains why the org chart -- not the model layer -- keeps enterprise AI from delivering.
Manage
Private AI: Not a fix for enterprise AI issues
Private AI infrastructure secures data but doesn't solve enterprise issues. CIOs must build an orchestration layer that handles state, authorization and execution logic separately.
Find Solutions For Your Project
-
Evaluate
Failed sustainability projects and the lessons learned
Failed sustainability projects often arise from poor data, siloed teams and unclear ownership, leading to costly mistakes and unrealized technology benefits.
-
Slopsquatting explained: When AI code turns malicious
-
Protecting your business from rogue bots -- a new CIO risk
-
AI, economic pressures and other causes of Big Tech layoffs
-
-
Problem Solve
Why hope is a CIO leadership skill
CIOs need to inspire teams as well as manage technology. Futurist Nikolas Badminton explains how hope can help leaders build vision, empower teams and drive action.
-
The human in the loop is falling asleep
-
Why pragmatic approaches to AI can minimize pilot failure
-
How to overcome anti-ESG movements
-
-
Manage
Private AI: Not a fix for enterprise AI issues
Private AI infrastructure secures data but doesn't solve enterprise issues. CIOs must build an orchestration layer that handles state, authorization and execution logic separately.
-
CIOs need to start accounting for AI carbon footprint
-
How to build an experience-level agreement
-
Why AI enablement teams shouldn't live within IT
-
IT Strategy Basics
-
Get Started
14 need-to-know tips for digital transformation success
What separates a successful digital transformation implementation from a recipe for disaster? These 14 tips will help ensure your DX efforts result in business improvement.
-
Get Started
Why AI enablement teams shouldn't live within IT
AI enablement teams can sit outside IT to stay focused on business needs. That can help CIOs avoid costly AI projects that fail to deliver value.
-
Get Started
When should CIOs care about quantum computing?
Quantum computing is still in its early stages, but CIOs in some industries should pay attention now. Learn where the technology stands and how to prepare.
Multimedia
-
Get Started
An explanation of quantum in computing
-
-
-
News
View All -
CIO Strategy
AI control is becoming an architecture problem for CIOs
CIOs face multiple AI control layers across orchestration, models, data, identity and governance. The challenge is understanding how those layers work together.
-
Tech in Action
Salesforce AI agent governance, development key themes at Dreamforce
Salesforce goes deep under the hood of AI architecture and agentic management with new releases.
-
CIO Strategy
Salesforce Enterprise AI Harness latest salvo aimed at ServiceNow
Salesforce battling ServiceNow, AWS and a cast of thousands for the soul of agentic AI management.
IT Strategy Definitions
- What is a chief data officer (CDO)?
- What is user-generated content?
- What is business process outsourcing (BPO)?
- What is a data governance policy?
- What is user experience and UX design? Why should you care?
- What is Hyperledger?
- What is data culture? A guide for data-driven organizations
- What is SOX compliance? A complete guide and checklist